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Autor Sergeyev, Yaroslav D. |
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TÃtulo : Deterministic Global Optimization : An Introduction to the Diagonal Approach Tipo de documento: documento electrónico Autores: Sergeyev, Yaroslav D., ; Kvasov, Dmitri E., Mención de edición: 1 ed. Editorial: New york [USA] : Springer Fecha de publicación: 2017 Número de páginas: X, 136 p. 39 ilustraciones ISBN/ISSN/DL: 978-1-4939-7199-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Programación de computadoras Optimización matemática Informática Técnicas de programación Mejoramiento Matemáticas de la Computación Aplicaciones matemáticas en informática Clasificación: 005.11 Resumen: Este libro comienza con una introducción concentrada a la optimización global determinista y avanza para presentar nuevos resultados originales de autores que son reconocidos expertos en el campo. Se examinan problemas continuos multiextremos que tienen una estructura desconocida con funciones objetivo de Lipschitz y funciones que tienen las primeras derivadas de Lipschitz definidas en hiperintervalos. Se introduce una clase de algoritmos que utilizan varias constantes de Lipschitz y que tiene su origen en el método DIRECT (DIviding RECTangles). Esta nueva clase se basa en una estrategia eficiente que se aplica para la partición del dominio de búsqueda. Además, se ofrece un estudio sobre métodos libres de derivadas y métodos que utilizan primeras derivadas para casos unidimensionales y multidimensionales. Se analizan los minorantes suaves y no suaves y las técnicas de aceleración que pueden acelerar varias clases de métodos de optimización global con ejemplos de aplicaciones y problemas que surgen en las pruebas numéricas de algoritmos de optimización global. Las consideraciones teóricas se ilustran a través de aplicaciones de ingenierÃa. Las pruebas numéricas exhaustivas de los algoritmos descritos en este libro amplÃan la probabilidad de establecer un vÃnculo entre matemáticos y profesionales. Los autores concluyen describiendo aplicaciones y un generador de clases aleatorias de funciones de prueba con mÃnimos locales y globales conocidos que se utiliza en más de 40 paÃses del mundo. Este tÃtulo sirve como punto de partida para estudiantes, investigadores, ingenieros y otros profesionales en investigación de operaciones, ciencias de la gestión, informática, ingenierÃa, economÃa, ciencias ambientales, matemáticas industriales y aplicadas para obtener una visión general de la optimización global determinista. . Nota de contenido: 1. Lipschitz global optimization -- 2. One-dimensional algorithms and their accleration -- 3. Diagonal approach and efficient paritioning strategies -- 4. Global optimization algorithms based on the non-redundant partitions -- References. Tipo de medio : Computadora Summary : This book begins with a concentrated introduction into deterministic global optimization and moves forward to present new original results from the authors who are well known experts in the field. Multiextremal continuous problems that have an unknown structure with Lipschitz objective functions and functions having the first Lipschitz derivatives defined over hyperintervals are examined. A class of algorithms using several Lipschitz constants is introduced which has its origins in the DIRECT (DIviding RECTangles) method. This new class is based on an efficient strategy that is applied for the search domain partitioning. In addition a survey on derivative free methods and methods using the first derivatives is given for both one-dimensional and multi-dimensional cases. Non-smooth and smooth minorants and acceleration techniques that can speed up several classes of global optimization methods with examples of applications and problems arising in numerical testing of global optimizationalgorithms are discussed. Theoretical considerations are illustrated through engineering applications. Extensive numerical testing of algorithms described in this book stretches the likelihood of establishing a link between mathematicians and practitioners. The authors conclude by describing applications and a generator of random classes of test functions with known local and global minima that is used in more than 40 countries of the world. This title serves as a starting point for students, researchers, engineers, and other professionals in operations research, management science, computer science, engineering, economics, environmental sciences, industrial and applied mathematics to obtain an overview of deterministic global optimization. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Deterministic Global Optimization : An Introduction to the Diagonal Approach [documento electrónico] / Sergeyev, Yaroslav D., ; Kvasov, Dmitri E., . - 1 ed. . - New york [USA] : Springer, 2017 . - X, 136 p. 39 ilustraciones.
ISBN : 978-1-4939-7199-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Programación de computadoras Optimización matemática Informática Técnicas de programación Mejoramiento Matemáticas de la Computación Aplicaciones matemáticas en informática Clasificación: 005.11 Resumen: Este libro comienza con una introducción concentrada a la optimización global determinista y avanza para presentar nuevos resultados originales de autores que son reconocidos expertos en el campo. Se examinan problemas continuos multiextremos que tienen una estructura desconocida con funciones objetivo de Lipschitz y funciones que tienen las primeras derivadas de Lipschitz definidas en hiperintervalos. Se introduce una clase de algoritmos que utilizan varias constantes de Lipschitz y que tiene su origen en el método DIRECT (DIviding RECTangles). Esta nueva clase se basa en una estrategia eficiente que se aplica para la partición del dominio de búsqueda. Además, se ofrece un estudio sobre métodos libres de derivadas y métodos que utilizan primeras derivadas para casos unidimensionales y multidimensionales. Se analizan los minorantes suaves y no suaves y las técnicas de aceleración que pueden acelerar varias clases de métodos de optimización global con ejemplos de aplicaciones y problemas que surgen en las pruebas numéricas de algoritmos de optimización global. Las consideraciones teóricas se ilustran a través de aplicaciones de ingenierÃa. Las pruebas numéricas exhaustivas de los algoritmos descritos en este libro amplÃan la probabilidad de establecer un vÃnculo entre matemáticos y profesionales. Los autores concluyen describiendo aplicaciones y un generador de clases aleatorias de funciones de prueba con mÃnimos locales y globales conocidos que se utiliza en más de 40 paÃses del mundo. Este tÃtulo sirve como punto de partida para estudiantes, investigadores, ingenieros y otros profesionales en investigación de operaciones, ciencias de la gestión, informática, ingenierÃa, economÃa, ciencias ambientales, matemáticas industriales y aplicadas para obtener una visión general de la optimización global determinista. . Nota de contenido: 1. Lipschitz global optimization -- 2. One-dimensional algorithms and their accleration -- 3. Diagonal approach and efficient paritioning strategies -- 4. Global optimization algorithms based on the non-redundant partitions -- References. Tipo de medio : Computadora Summary : This book begins with a concentrated introduction into deterministic global optimization and moves forward to present new original results from the authors who are well known experts in the field. Multiextremal continuous problems that have an unknown structure with Lipschitz objective functions and functions having the first Lipschitz derivatives defined over hyperintervals are examined. A class of algorithms using several Lipschitz constants is introduced which has its origins in the DIRECT (DIviding RECTangles) method. This new class is based on an efficient strategy that is applied for the search domain partitioning. In addition a survey on derivative free methods and methods using the first derivatives is given for both one-dimensional and multi-dimensional cases. Non-smooth and smooth minorants and acceleration techniques that can speed up several classes of global optimization methods with examples of applications and problems arising in numerical testing of global optimizationalgorithms are discussed. Theoretical considerations are illustrated through engineering applications. Extensive numerical testing of algorithms described in this book stretches the likelihood of establishing a link between mathematicians and practitioners. The authors conclude by describing applications and a generator of random classes of test functions with known local and global minima that is used in more than 40 countries of the world. This title serves as a starting point for students, researchers, engineers, and other professionals in operations research, management science, computer science, engineering, economics, environmental sciences, industrial and applied mathematics to obtain an overview of deterministic global optimization. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Learning and Intelligent Optimization / Battiti, Roberto ; Kvasov, Dmitri E. ; Sergeyev, Yaroslav D.
TÃtulo : Learning and Intelligent Optimization : 11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised Selected Papers Tipo de documento: documento electrónico Autores: Battiti, Roberto, ; Kvasov, Dmitri E., ; Sergeyev, Yaroslav D., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XIII, 390 p. 92 ilustraciones ISBN/ISSN/DL: 978-3-319-69404-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Algoritmos Ciencias de la Computación Inteligencia artificial Análisis numérico Simulación por ordenador Lógica informática y fundamentos de la programación. TeorÃa de la Computación Modelado por computadora Clasificación: 518.1 Resumen: Este libro constituye las actas posteriores a la conferencia, exhaustivamente arbitradas, de la 11.ª Conferencia Internacional sobre Aprendizaje y Optimización Inteligente, LION 11, celebrada en Nizhny, Novgorod, Rusia, en junio de 2017. Los 20 artÃculos completos (entre estos, un artÃculo GENOPT) y 15 breves Los artÃculos presentados han sido cuidadosamente revisados ​​y seleccionados entre 73 presentaciones. Los artÃculos exploran los avances de la investigación avanzada en campos interconectados como la programación matemática, la optimización global, el aprendizaje automático y la inteligencia artificial. Se presta especial atención a ideas, tecnologÃas, métodos y aplicaciones avanzadas en optimización y aprendizaje automático. Tipo de medio : Computadora Summary : This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Learning and Intelligent Optimization, LION 11, held in Nizhny,Novgorod, Russia, in June 2017. The 20 full papers (among these one GENOPT paper) and 15 short papers presented have been carefully reviewed and selected from 73 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Learning and Intelligent Optimization : 11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised Selected Papers [documento electrónico] / Battiti, Roberto, ; Kvasov, Dmitri E., ; Sergeyev, Yaroslav D., . - 1 ed. . - [s.l.] : Springer, 2017 . - XIII, 390 p. 92 ilustraciones.
ISBN : 978-3-319-69404-7
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Algoritmos Ciencias de la Computación Inteligencia artificial Análisis numérico Simulación por ordenador Lógica informática y fundamentos de la programación. TeorÃa de la Computación Modelado por computadora Clasificación: 518.1 Resumen: Este libro constituye las actas posteriores a la conferencia, exhaustivamente arbitradas, de la 11.ª Conferencia Internacional sobre Aprendizaje y Optimización Inteligente, LION 11, celebrada en Nizhny, Novgorod, Rusia, en junio de 2017. Los 20 artÃculos completos (entre estos, un artÃculo GENOPT) y 15 breves Los artÃculos presentados han sido cuidadosamente revisados ​​y seleccionados entre 73 presentaciones. Los artÃculos exploran los avances de la investigación avanzada en campos interconectados como la programación matemática, la optimización global, el aprendizaje automático y la inteligencia artificial. Se presta especial atención a ideas, tecnologÃas, métodos y aplicaciones avanzadas en optimización y aprendizaje automático. Tipo de medio : Computadora Summary : This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Learning and Intelligent Optimization, LION 11, held in Nizhny,Novgorod, Russia, in June 2017. The 20 full papers (among these one GENOPT paper) and 15 short papers presented have been carefully reviewed and selected from 73 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Numerical Computations: Theory and Algorithms : Third International Conference, NUMTA 2019, Crotone, Italy, June 15À“21, 2019, Revised Selected Papers, Part I / Tipo de documento: documento electrónico Autores: Sergeyev, Yaroslav D., ; Kvasov, Dmitri E., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXIII, 622 p. 403 ilustraciones, 147 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-39081-5 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Informática IngenierÃa Informática Red de computadoras Aprendizaje automático Software de la aplicacion Algoritmos Matemáticas de la Computación IngenierÃa Informática y Redes Aplicaciones informáticas y de sistemas de información Clasificación: 40.151 Resumen: El conjunto de dos volúmenes LNCS 11973 y 11974 constituye artÃculos seleccionados revisados ​​de la Tercera Conferencia Internacional sobre Computación Numérica: TeorÃa y Algoritmos, NUMTA 2019, celebrada en Crotone, Italia, en junio de 2019. Este volumen, LNCS 11973, consta de 34 documentos completos y 18 artÃculos breves elegidos entre los artÃculos presentados en sesiones y sesiones especiales de la Conferencia. Los artÃculos de la parte I se organizaron siguiendo los temas de estas sesiones especiales: aproximación: métodos, algoritmos y aplicaciones; métodos computacionales para análisis de datos; métodos de primer orden en optimización: teorÃa y aplicaciones; informática de alto rendimiento en modelado y simulación; números, algoritmos y aplicaciones; optimización y gestión del suministro de agua. Nota de contenido: Approximation: Methods, Algorithms, and Applications -- Towards an Efficient Implementation of an Accurate SPH Method -- A Procedure for Laplace Transform Inversion Based on Smoothing Exponential-Polynomial -- Splines -- An Adaptive Refinement Scheme for Radial Basis Function Collocation -- A 3D efficient Procedure for Shepard Interpolants on Tetrahedra -- Interpolation by Bivariate Quadratic Polynomials and Applications to the Scattered Data Interpolation Problem -- Comparison of Shepard's Like Methods with Different Basis Functions -- A New Remez-type Algorithm for Best Polynomial Approximation -- An SVE Approach for the Numerical Solution of Ordinary Differential Equations -- Uniform Weighted Approximation by Multivariate Filtered Polynomials -- Computational Methods for Data Analysis -- A Travelling Wave Solution for Nonlinear Colloid Facilitated Mass Transport in Porous Media -- Performance Analysis of a Multicore Implementation for Solving a Two-dimensional Inverse Anomalous Diffusion Problem -- Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data -- Stochastic Mechanisms of Information Flow in Phosphate Economy of Escherichia Coli -- NMR Data Analysis of Water Mobility in Wheat Flour Dough: A Computational Approach -- First Order Methods in Optimization: Theory and Applications -- A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization -- Problems -- A Gradient-Based Globalization Strategy for the Newton Method -- On the Steplength Selection in Stochastic Gradient Methods -- Efficient Block Coordinate Methods for Blind Cauchy Denoising -- High Performance Computing in Modelling and Simulation -- A Parallel Software Platform for Pathway Enrichment -- Hierarchical Clustering of Spatial Urban Data -- Improving Efficiency in Parallel Computing Leveraging Local Synchronization -- A General Computational Formalism for Networks of Structured Grids -- Preliminary Model of Saturated -- Flow Using Cellular Automata -- A Cybersecurity Framework for Classifying Non Stationary Data Streams Exploiting Genetic Programming and Ensemble Learning -- A Dynamic Load Balancing Technique for Parallel Execution of Structured Grid Models -- Final Sediment Outcome from Meteorological Flood Events: A Multi-Modelling Approach -- Parallel Algorithms for Multifractal Analysis of River Networks -- A Methodology Approach to Compare Performance of Parallel Programming Models for -- Shared-Memory Architectures -- Numbers, Algorithms, and Applications -- New Approaches to Basic Calculus: An Experimentation via Numerical Computation -- A Multi-factor RSA-like Scheme with Fast Decryption Based on R©dei Rational Functions over the Pell Hyperbola -- Paradoxes of the Infinite and Ontological Dilemmas between Ancient Philosophy and Modern Mathematical Solutions -- The Sequence of Carboncettus Octagons -- On the Arithmetic of Knuth's Powers and Some Computational Results about Their Density -- Combinatorics on n-sets: Arithmetic Properties and Numerical Results -- Numerical Problems in XBRL Reports and the Use of Blockchain as Trust Enabler -- Modelling on Human Intelligence a Machine Learning System -- Algorithms for Jewelry Industry 4.0 -- Clustering Analysis to Profile Customers' Behaviour in POWER CLOUD Energy Community -- A Grossone-based Numerical Model for Computations with Infinity: A Case Study in an Italian High School -- A Computational Approach with MATLAB Software for Nonlinear Equation Roots Finding in High School Maths -- Task Mathematical Modelling Design in a Dynamic Geometry Environment: Archimedean Spiral's Algorithm -- Optimization and Management of Water Supply -- Numerical Experimentations for a New Set of Local Indices of a Water Network -- Performance Management of Demand and Pressure Driven Analysis in a Monitored Water -- Distribution Network -- Algebraic Tools and New Local Indices for Water Networks: Some Numerical Examples -- Identification of Contamination Potential Source (ICPS): A Topological Approach for the Optimal -- Recognition of Sensitive Nodes in a Water Distribution Network -- Seeking for a Trade-off between Accuracy and Timeliness in Meteo-hydrological Modeling Chains -- Optimization Model for Water Distribution Network Planning in a Realistic Orographic Framework -- Scenario Optimization of Complex Water Supply Systems for Energy Saving and Drought-risk Management -- Optimizing Rainwater Harvesting Systems for Non-potable Water Uses and Surface Runoff Mitigation -- New Mathematical Optimization Approaches for LID Systems -- Evaluation of an Integrated Seasonal Forecast System for Agricultural Water Management in Mediterranean Regions -- Optimization of Submarine Outfalls with a Multiport Diffuser Design. Tipo de medio : Computadora Summary : The two-volume set LNCS 11973 and 11974 constitute revised selected papers from the Third International Conference on Numerical Computations: Theory and Algorithms, NUMTA 2019, held in Crotone, Italy, in June 2019. This volume, LNCS 11973, consists of 34 full and 18 short papers chosen among papers presented at special streams and sessions of the Conference. The papers in part I were organized following the topics of these special sessions: approximation: methods, algorithms, and applications; computational methods for data analysis; first order methods in optimization: theory and applications; high performance computing in modelling and simulation; numbers, algorithms, and applications; optimization and management of water supply. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Numerical Computations: Theory and Algorithms : Third International Conference, NUMTA 2019, Crotone, Italy, June 15À“21, 2019, Revised Selected Papers, Part I / [documento electrónico] / Sergeyev, Yaroslav D., ; Kvasov, Dmitri E., . - 1 ed. . - [s.l.] : Springer, 2020 . - XXIII, 622 p. 403 ilustraciones, 147 ilustraciones en color.
ISBN : 978-3-030-39081-5
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Informática IngenierÃa Informática Red de computadoras Aprendizaje automático Software de la aplicacion Algoritmos Matemáticas de la Computación IngenierÃa Informática y Redes Aplicaciones informáticas y de sistemas de información Clasificación: 40.151 Resumen: El conjunto de dos volúmenes LNCS 11973 y 11974 constituye artÃculos seleccionados revisados ​​de la Tercera Conferencia Internacional sobre Computación Numérica: TeorÃa y Algoritmos, NUMTA 2019, celebrada en Crotone, Italia, en junio de 2019. Este volumen, LNCS 11973, consta de 34 documentos completos y 18 artÃculos breves elegidos entre los artÃculos presentados en sesiones y sesiones especiales de la Conferencia. Los artÃculos de la parte I se organizaron siguiendo los temas de estas sesiones especiales: aproximación: métodos, algoritmos y aplicaciones; métodos computacionales para análisis de datos; métodos de primer orden en optimización: teorÃa y aplicaciones; informática de alto rendimiento en modelado y simulación; números, algoritmos y aplicaciones; optimización y gestión del suministro de agua. Nota de contenido: Approximation: Methods, Algorithms, and Applications -- Towards an Efficient Implementation of an Accurate SPH Method -- A Procedure for Laplace Transform Inversion Based on Smoothing Exponential-Polynomial -- Splines -- An Adaptive Refinement Scheme for Radial Basis Function Collocation -- A 3D efficient Procedure for Shepard Interpolants on Tetrahedra -- Interpolation by Bivariate Quadratic Polynomials and Applications to the Scattered Data Interpolation Problem -- Comparison of Shepard's Like Methods with Different Basis Functions -- A New Remez-type Algorithm for Best Polynomial Approximation -- An SVE Approach for the Numerical Solution of Ordinary Differential Equations -- Uniform Weighted Approximation by Multivariate Filtered Polynomials -- Computational Methods for Data Analysis -- A Travelling Wave Solution for Nonlinear Colloid Facilitated Mass Transport in Porous Media -- Performance Analysis of a Multicore Implementation for Solving a Two-dimensional Inverse Anomalous Diffusion Problem -- Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data -- Stochastic Mechanisms of Information Flow in Phosphate Economy of Escherichia Coli -- NMR Data Analysis of Water Mobility in Wheat Flour Dough: A Computational Approach -- First Order Methods in Optimization: Theory and Applications -- A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization -- Problems -- A Gradient-Based Globalization Strategy for the Newton Method -- On the Steplength Selection in Stochastic Gradient Methods -- Efficient Block Coordinate Methods for Blind Cauchy Denoising -- High Performance Computing in Modelling and Simulation -- A Parallel Software Platform for Pathway Enrichment -- Hierarchical Clustering of Spatial Urban Data -- Improving Efficiency in Parallel Computing Leveraging Local Synchronization -- A General Computational Formalism for Networks of Structured Grids -- Preliminary Model of Saturated -- Flow Using Cellular Automata -- A Cybersecurity Framework for Classifying Non Stationary Data Streams Exploiting Genetic Programming and Ensemble Learning -- A Dynamic Load Balancing Technique for Parallel Execution of Structured Grid Models -- Final Sediment Outcome from Meteorological Flood Events: A Multi-Modelling Approach -- Parallel Algorithms for Multifractal Analysis of River Networks -- A Methodology Approach to Compare Performance of Parallel Programming Models for -- Shared-Memory Architectures -- Numbers, Algorithms, and Applications -- New Approaches to Basic Calculus: An Experimentation via Numerical Computation -- A Multi-factor RSA-like Scheme with Fast Decryption Based on R©dei Rational Functions over the Pell Hyperbola -- Paradoxes of the Infinite and Ontological Dilemmas between Ancient Philosophy and Modern Mathematical Solutions -- The Sequence of Carboncettus Octagons -- On the Arithmetic of Knuth's Powers and Some Computational Results about Their Density -- Combinatorics on n-sets: Arithmetic Properties and Numerical Results -- Numerical Problems in XBRL Reports and the Use of Blockchain as Trust Enabler -- Modelling on Human Intelligence a Machine Learning System -- Algorithms for Jewelry Industry 4.0 -- Clustering Analysis to Profile Customers' Behaviour in POWER CLOUD Energy Community -- A Grossone-based Numerical Model for Computations with Infinity: A Case Study in an Italian High School -- A Computational Approach with MATLAB Software for Nonlinear Equation Roots Finding in High School Maths -- Task Mathematical Modelling Design in a Dynamic Geometry Environment: Archimedean Spiral's Algorithm -- Optimization and Management of Water Supply -- Numerical Experimentations for a New Set of Local Indices of a Water Network -- Performance Management of Demand and Pressure Driven Analysis in a Monitored Water -- Distribution Network -- Algebraic Tools and New Local Indices for Water Networks: Some Numerical Examples -- Identification of Contamination Potential Source (ICPS): A Topological Approach for the Optimal -- Recognition of Sensitive Nodes in a Water Distribution Network -- Seeking for a Trade-off between Accuracy and Timeliness in Meteo-hydrological Modeling Chains -- Optimization Model for Water Distribution Network Planning in a Realistic Orographic Framework -- Scenario Optimization of Complex Water Supply Systems for Energy Saving and Drought-risk Management -- Optimizing Rainwater Harvesting Systems for Non-potable Water Uses and Surface Runoff Mitigation -- New Mathematical Optimization Approaches for LID Systems -- Evaluation of an Integrated Seasonal Forecast System for Agricultural Water Management in Mediterranean Regions -- Optimization of Submarine Outfalls with a Multiport Diffuser Design. Tipo de medio : Computadora Summary : The two-volume set LNCS 11973 and 11974 constitute revised selected papers from the Third International Conference on Numerical Computations: Theory and Algorithms, NUMTA 2019, held in Crotone, Italy, in June 2019. This volume, LNCS 11973, consists of 34 full and 18 short papers chosen among papers presented at special streams and sessions of the Conference. The papers in part I were organized following the topics of these special sessions: approximation: methods, algorithms, and applications; computational methods for data analysis; first order methods in optimization: theory and applications; high performance computing in modelling and simulation; numbers, algorithms, and applications; optimization and management of water supply. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Numerical Computations: Theory and Algorithms : Third International Conference, NUMTA 2019, Crotone, Italy, June 15À“21, 2019, Revised Selected Papers, Part II / Tipo de documento: documento electrónico Autores: Sergeyev, Yaroslav D., ; Kvasov, Dmitri E., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXIV, 532 p. 271 ilustraciones, 93 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-40616-5 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Informática Ciencias de la Computación Software de la aplicacion IngenierÃa Informática Red de computadoras Visión por computador Inteligencia artificial Matemáticas de la Computación TeorÃa de la Computación Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Clasificación: 40.151 Resumen: El conjunto de dos volúmenes LNCS 11973 y 11974 constituye artÃculos seleccionados revisados ​​de la Tercera Conferencia Internacional sobre Computación Numérica: TeorÃa y Algoritmos, NUMTA 2019, celebrada en Crotone, Italia, en junio de 2019. Este volumen, LNCS 11974, consta de 19 documentos completos y 32 artÃculos breves elegidos entre los artÃculos habituales presentados en la Conferencia, incluido también el artÃculo del ganador (Lorenzo Fiaschi, Pisa, Italia) del Premio Springer Young Researcher a la mejor presentación de NUMTA 2019 realizada por un joven cientÃfico. Los artÃculos de la parte II exploran los avances de la investigación avanzada en campos interconectados como la optimización local y global, el aprendizaje automático, la aproximación y las ecuaciones diferenciales. Se presta especial atención a las ideas avanzadas relacionadas con métodos y aplicaciones que utilizan paradigmas computacionales emergentes. Nota de contenido: Numerical Algorithms for the Parametric Continuation of Stiff ODEs Deriving from the Modeling of Combustion with Detailed Chemical Mechanisms -- Stability Analysis of DESA Optimization Algorithm -- Are Humans Bayesian in the Optimization of Black-box Functions -- A New Syntax for Diagrammatic Logic: a Generic Figures Approach -- Objective and Violation Upper Bounds on a DIRECT-Filter Method for Global Optimization -- The Approximate Synthesis of Optimal Control for Heterogeneous Discrete Systems with Intermediate Criteria -- Modelling Climate Changes with Stationary Models: Is It Possible or Is It a Paradox -- Differential Equations and Uniqueness Theorems for the Generalized Attenuated Ray Transforms of Tensor Fields -- Multiextremal Optimization in Feasible Regions with Computable Boundaries on the Base of the Adaptive Nested Scheme -- On Polyhedral Estimates of Reachable Sets of Discrete-Time Systems with Uncertain Matrices and Integral Bounds on Additive Terms -- Numerical Simulation of Hyperbolic Conservation Laws Using High Resolution Schemes with the Indulgence of Fuzzy Logic -- Methodology for Interval-Valued Matrix Games with 2-Tuple Fuzzy Linguistic Information -- Set-Membership Computation of Integrals with Uncertain Endpoints -- Epidemic Spreading Curing Strategy over Directed Networks -- Learning Aerial Image Similarity using Triplet Networks -- In the Quest for Invariant Structures through Graph Theory, Groups and Mechanics: Methodological Aspects in the History of Applied Mathematics -- Generalizations of the Intermediate Value Theorem for Approximating Fixed Points and Zeros of Continuous Functions -- Modelling Population Size Using Horvitz-Thompson Approach Based on the Zero-truncated Poisson Lindley Distribution -- Numerical Analysis of the Model of Optimal Consumption and Borrowing with Random Time Scale -- Short papers -- Conditions of the Stability Preservation under Discretization of a Class of Nonlinear Time-Delay Systems -- Numerical Investigation of Natural Rough-Bed Flow -- A Dynamic Precision Floating-Point Arithmetic based on the Infinity Computer Framework -- Numerical Strategies for Solving Multiparameter Spectral Problems -- Algorithms of 3D Wind Field Reconstructing by Lidar Remote Sensing Data -- Stationarity Condition for Nonsmooth MPVCs with Constraint Set -- Molecular Dynamics Performance Evaluation with Modern Computer Architecture -- Artificial Neural Networks Training Acceleration through Network Science Strategies -- Grossone Methodology for Lexicographic Mixed-Integer Linear Programming Problems -- Infinite Games on Finite Graphs using Grossone -- A Novel Geometric Approach to the Problem of Multidimensional Scaling -- A Simulink-Based Infinity Computer Simulator and Some Applications -- Generalizing Pure and Impure Iterated Prisoner's Dilemmas to the Case of Infinite and Infinitesimal Quantities -- Multidimensional Global Search Using Numerical Estimations of Minimized Function Derivatives and Adaptive Nested Optimization Scheme -- 2-Approximation Polynomial-Time Algorithm for a Cardinality-Weighted 2-Partitioning Problem of a Sequence -- Exact Linear-Time Algorithm for Parameterized K-Means Problem with Optimized Number of Clusters in the 1D Case -- Polynomial-Time Approximation Scheme for a Problem of Searching for the Largest Subset with the Constraint on Quadratic Variation -- On a Comparison of Several Numerical Integration Methods for Ordinary Systems of Differential Equations -- On Acceleration of Derivative-Free Univariate Lipschitz Global Optimization Methods -- Numerical Simulation of Ski-Jump Hydraulic Behavior -- On Linear Spline Wavelets with Shifted Supports -- An Online Learning Approach to a Multi-player N-armed Functional Bandit -- The Singular Value Decomposition of the Operators of the Dynamic Ray Transforms Acting on 2D Vector Fields -- Numerical Investigation into a Combined Ecologically Pure Plasma-Vortex Generator of Hydrogen and Thermal Energy -- Computer Modeling of Electrochemical Impedance Spectra forDefected Phospholipid Membranes: Finite Element Analysis -- A Compact Filter Regularization Method for Solving Sideways Heat Equation -- Acceleration of Global Search by Implementing Dual Estimates for Lipschitz Constant -- The Method of Approximate Inverse in Slice-by-slice Vector Tomography Problems -- Computational Fluid Dynamics Methods for Wind Resources Assesment -- On Stationary Points of Distance Depending Potentials -- A Partition Based Bayesian Multi-objective Optimization Algorithm -- Problem Statement for Preparing a Single Batch of End Product Under Uncertainty. Tipo de medio : Computadora Summary : The two-volume set LNCS 11973 and 11974 constitute revised selected papers from the Third International Conference on Numerical Computations: Theory and Algorithms, NUMTA 2019, held in Crotone, Italy, in June 2019. This volume, LNCS 11974, consists of 19 full and 32 short papers chosen among regular papers presented at the the Conference including also the paper of the winner (Lorenzo Fiaschi, Pisa, Italy) of The Springer Young Researcher Prize for the best NUMTA 2019 presentation made by a young scientist. The papers in part II explore the advanced research developments in such interconnected fields as local and global optimization, machine learning, approximation, and differential equations. A special focus is given to advanced ideas related to methods and applications using emerging computational paradigms. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Numerical Computations: Theory and Algorithms : Third International Conference, NUMTA 2019, Crotone, Italy, June 15À“21, 2019, Revised Selected Papers, Part II / [documento electrónico] / Sergeyev, Yaroslav D., ; Kvasov, Dmitri E., . - 1 ed. . - [s.l.] : Springer, 2020 . - XXIV, 532 p. 271 ilustraciones, 93 ilustraciones en color.
ISBN : 978-3-030-40616-5
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Informática Ciencias de la Computación Software de la aplicacion IngenierÃa Informática Red de computadoras Visión por computador Inteligencia artificial Matemáticas de la Computación TeorÃa de la Computación Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Clasificación: 40.151 Resumen: El conjunto de dos volúmenes LNCS 11973 y 11974 constituye artÃculos seleccionados revisados ​​de la Tercera Conferencia Internacional sobre Computación Numérica: TeorÃa y Algoritmos, NUMTA 2019, celebrada en Crotone, Italia, en junio de 2019. Este volumen, LNCS 11974, consta de 19 documentos completos y 32 artÃculos breves elegidos entre los artÃculos habituales presentados en la Conferencia, incluido también el artÃculo del ganador (Lorenzo Fiaschi, Pisa, Italia) del Premio Springer Young Researcher a la mejor presentación de NUMTA 2019 realizada por un joven cientÃfico. Los artÃculos de la parte II exploran los avances de la investigación avanzada en campos interconectados como la optimización local y global, el aprendizaje automático, la aproximación y las ecuaciones diferenciales. Se presta especial atención a las ideas avanzadas relacionadas con métodos y aplicaciones que utilizan paradigmas computacionales emergentes. Nota de contenido: Numerical Algorithms for the Parametric Continuation of Stiff ODEs Deriving from the Modeling of Combustion with Detailed Chemical Mechanisms -- Stability Analysis of DESA Optimization Algorithm -- Are Humans Bayesian in the Optimization of Black-box Functions -- A New Syntax for Diagrammatic Logic: a Generic Figures Approach -- Objective and Violation Upper Bounds on a DIRECT-Filter Method for Global Optimization -- The Approximate Synthesis of Optimal Control for Heterogeneous Discrete Systems with Intermediate Criteria -- Modelling Climate Changes with Stationary Models: Is It Possible or Is It a Paradox -- Differential Equations and Uniqueness Theorems for the Generalized Attenuated Ray Transforms of Tensor Fields -- Multiextremal Optimization in Feasible Regions with Computable Boundaries on the Base of the Adaptive Nested Scheme -- On Polyhedral Estimates of Reachable Sets of Discrete-Time Systems with Uncertain Matrices and Integral Bounds on Additive Terms -- Numerical Simulation of Hyperbolic Conservation Laws Using High Resolution Schemes with the Indulgence of Fuzzy Logic -- Methodology for Interval-Valued Matrix Games with 2-Tuple Fuzzy Linguistic Information -- Set-Membership Computation of Integrals with Uncertain Endpoints -- Epidemic Spreading Curing Strategy over Directed Networks -- Learning Aerial Image Similarity using Triplet Networks -- In the Quest for Invariant Structures through Graph Theory, Groups and Mechanics: Methodological Aspects in the History of Applied Mathematics -- Generalizations of the Intermediate Value Theorem for Approximating Fixed Points and Zeros of Continuous Functions -- Modelling Population Size Using Horvitz-Thompson Approach Based on the Zero-truncated Poisson Lindley Distribution -- Numerical Analysis of the Model of Optimal Consumption and Borrowing with Random Time Scale -- Short papers -- Conditions of the Stability Preservation under Discretization of a Class of Nonlinear Time-Delay Systems -- Numerical Investigation of Natural Rough-Bed Flow -- A Dynamic Precision Floating-Point Arithmetic based on the Infinity Computer Framework -- Numerical Strategies for Solving Multiparameter Spectral Problems -- Algorithms of 3D Wind Field Reconstructing by Lidar Remote Sensing Data -- Stationarity Condition for Nonsmooth MPVCs with Constraint Set -- Molecular Dynamics Performance Evaluation with Modern Computer Architecture -- Artificial Neural Networks Training Acceleration through Network Science Strategies -- Grossone Methodology for Lexicographic Mixed-Integer Linear Programming Problems -- Infinite Games on Finite Graphs using Grossone -- A Novel Geometric Approach to the Problem of Multidimensional Scaling -- A Simulink-Based Infinity Computer Simulator and Some Applications -- Generalizing Pure and Impure Iterated Prisoner's Dilemmas to the Case of Infinite and Infinitesimal Quantities -- Multidimensional Global Search Using Numerical Estimations of Minimized Function Derivatives and Adaptive Nested Optimization Scheme -- 2-Approximation Polynomial-Time Algorithm for a Cardinality-Weighted 2-Partitioning Problem of a Sequence -- Exact Linear-Time Algorithm for Parameterized K-Means Problem with Optimized Number of Clusters in the 1D Case -- Polynomial-Time Approximation Scheme for a Problem of Searching for the Largest Subset with the Constraint on Quadratic Variation -- On a Comparison of Several Numerical Integration Methods for Ordinary Systems of Differential Equations -- On Acceleration of Derivative-Free Univariate Lipschitz Global Optimization Methods -- Numerical Simulation of Ski-Jump Hydraulic Behavior -- On Linear Spline Wavelets with Shifted Supports -- An Online Learning Approach to a Multi-player N-armed Functional Bandit -- The Singular Value Decomposition of the Operators of the Dynamic Ray Transforms Acting on 2D Vector Fields -- Numerical Investigation into a Combined Ecologically Pure Plasma-Vortex Generator of Hydrogen and Thermal Energy -- Computer Modeling of Electrochemical Impedance Spectra forDefected Phospholipid Membranes: Finite Element Analysis -- A Compact Filter Regularization Method for Solving Sideways Heat Equation -- Acceleration of Global Search by Implementing Dual Estimates for Lipschitz Constant -- The Method of Approximate Inverse in Slice-by-slice Vector Tomography Problems -- Computational Fluid Dynamics Methods for Wind Resources Assesment -- On Stationary Points of Distance Depending Potentials -- A Partition Based Bayesian Multi-objective Optimization Algorithm -- Problem Statement for Preparing a Single Batch of End Product Under Uncertainty. Tipo de medio : Computadora Summary : The two-volume set LNCS 11973 and 11974 constitute revised selected papers from the Third International Conference on Numerical Computations: Theory and Algorithms, NUMTA 2019, held in Crotone, Italy, in June 2019. This volume, LNCS 11974, consists of 19 full and 32 short papers chosen among regular papers presented at the the Conference including also the paper of the winner (Lorenzo Fiaschi, Pisa, Italy) of The Springer Young Researcher Prize for the best NUMTA 2019 presentation made by a young scientist. The papers in part II explore the advanced research developments in such interconnected fields as local and global optimization, machine learning, approximation, and differential equations. A special focus is given to advanced ideas related to methods and applications using emerging computational paradigms. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Recent Trends in Mathematical Modeling and High Performance Computing : M3HPCST-2020, Ghaziabad, India, January 9-11, 2020 Tipo de documento: documento electrónico Autores: Singh, Vinai K., ; Sergeyev, Yaroslav D., ; Fischer, Andreas, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XVI, 441 p. 150 ilustraciones, 111 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-68281-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Modelos matemáticos Matemáticas Informática Análisis numérico Modelización Matemática y Matemática Industrial Ciencias e IngenierÃa Computacional Aplicaciones matemáticas en informática Clasificación: 003.3 Resumen: Este volumen explora las conexiones entre el modelado matemático, los métodos computacionales y la computación de alto rendimiento, y cómo los desarrollos recientes en estas áreas pueden ayudar a resolver problemas complejos en las ciencias naturales y la ingenierÃa. El contenido del libro se basa en charlas y artÃculos presentados en la conferencia Modern Mathematical Methods and High Performance Computing in Science & Technology (M3HPCST), celebrada en Inderprastha Engineering College en Ghaziabad, India, en enero de 2020. Una amplia gama de conocimientos tanto teóricos como Los temas aplicados se tratan en detalle, incluida la conceptualización del infinito, la descomposición eficiente del dominio, la comunicación inalámbrica de alta capacidad, el modelado de enfermedades infecciosas y más. Estos capÃtulos están organizados en torno a las siguientes áreas: Ecuaciones diferenciales parciales y ordinarias Optimización y control óptimo Computación cientÃfica y de alto rendimiento Modelos estocásticos y estadÃsticas Tendencias recientes en modelado matemático y computación de alto rendimiento serán de interés para investigadores tanto en matemáticas como en ingenierÃa, asà como para para profesionales que se enfrentan a modelos complejos y cálculos extensos. Nota de contenido: Section A: Partial and Ordinary Differential Equations - 1. Non Uniform Rational B-Splines and Lagrange approximations for time-harmonic acoustic scattering:accuracy and absorbing boundary conditions S.M. Dsouza,T. Khajah, X. Antoine, S.P.A. Bordas, S. Natarajan -- 2. Some Significant Results on the Union Graph Derived from Topological Space R. A. Muneshwar And K. L. Bondar -- 3. Existence and Uniqueness Results of Second Order Summation-Dierence Equations in Cone Metric Space G. C. Done, K. L. Bondar And P. U. Chopade -- 4. Influence of radiant heat and non uniform heat source on MHD Casson fluid flow of thin Liquid Film beyond a Stretching Sheet Jagadish V Tawade, Mahadev Biradar, And Shaila S. Benal -- 5. Mhd boundary layer fow of Casson fluid with gyrotactic microorganisms over porous linear stretching sheet and heat transfer analysis with viscous dissipation G C Sankad And Ishwar Maharudrappa -- 6. Design Of Coupled FIR filters for solving the nuclear reactor point kinetics equations with feedback M Mohideen Abdul Razak -- 7. Convergence of Substructuring Domain Decomposition Methods for Hamilton-Jacobi Equation Bankim C. Mandal -- 8. Dynamical Behaviour of Dengue: An SIR epidemic model Sudipa Chauhan, Sumit Kaur Bhatia and Simrat Chaudhary -- 9. Deformable Derivative of Fibonacci Polynomials Krishna Kumar Sharma -- Section B: Optimization And Optimal Control -- 10. Simulation and Analysis of 5G Wireless mm-Wave Modulation Technique for High Capacity Communication System M.Vinothkumar And Dr. Vinod Kumar -- 11. Controllability of fractional stochastic delayed system with nonlocal conditions Surendra Kumar -- 12. On Noncritical Solutions of Complementarity Systems Andreas Fischer And Mario Jelitte -- 13. Testing the performance of some new hybrid metaheuristic algorithms for high dimension optimization problems Souvik Ganguli -- 14. Consumer Decisions in the Age of the Internet: Filtering Information when Searching for Valuable Goods David M Ramsey -- 15. Optimality Conditions for Vector Equilibrium Problems Ali Farajzadeh, Sahar Ranjbar -- 16.Strong Pseudoconvexity And Strong Quasiconvexity Of Non-differentiable Functions Sanjeev Kumar Singh, Avanish Shahi And S K Mishra -- 17 Optimality and Duality of pseudolinear multiobjective mathematical programs with vanishing constraints J K Maurya, A Shahi and S K Mishra -- 18. The Solvability and Optimality for Semilinear Stochastic Equation with Unbounded Delay Shobha Yadav And Surendra Kumar -- Section C: High Performance and Scientific Computing -- 19. The Role of Machine Learning and Artificial Intelligence for High Performance Computing Michael M Resch -- 20. Slip Effect On An Unsteady Ferromagnetic Fluid Flow Towards Stagnation Point Over A Stretching Sheet Preeti Kaushik, Dr. Upendra Mishra And Dr. Vinai Kumar Singh -- 21. Parallelization of Local Diagonal Extrema Pattern using a Graphical ProcessingUnit And its Optimization Ashwath Rao B And Gopalakrishna Kini N -- 22. On the recommendations for reducing cpu time of multi-grid preconditioned gauss-seidel method Abdul Hannan Faruqi, M Hamid Siddique, Abdus Samad And Syed Fahad Anwer -- 23. Fragment Production and its dynamics using spatial correlations and Monte-Carlo based Analysis Code Rohit Kumar And Ishita Puri -- 24. Effect of Halo Structure in Nuclear Reactions using Monte-Carlo Simulations Sucheta, Rohit Kumar, And Rajeev K. Puri -- Section D: Stochastic Models and Statistics -- 25. Performance Analysis of a Two-Dimensional State Multiserver Markovian Queueing Model with Reneging Customer Neelam Singla And Sonia Kalra -- 26. Performance modelling of a Discrete-time Retrial Queue with Preferred and Impatient customers, Bernoulli Vacation and Second optional service Geetika Malik And Shweta Upadhyaya -- 27. On the Product and Ratio of Pareto and Maxwell Random Variables Noura Obeid And Seifedine Kadry -- 28. Performance Analysis of a Discrete-time Retrial Queue with Bernoulli Feedback, Starting Failure and Single Vacation Policy Shweta Upadhyaya -- 29. Monofractal and Multifractal Analysis of Indian Agricultural Commodity Prices Neha Sam, Vidhi Vashishth And Yukti -- 30. Empirical Orthogonal Function Analysis of Sub Divisional Rainfall over India K C Tripathi And M L Sharma -- 31. Forecast of Flow Characteristics in Time Dependent Artery having Mild Stenosis A.K. Singh And S.P. Pandey -- 32. Applicability of measure of noncompactness for the boundary value problems in Lp spaces Tanweer Jalal, Ishfaq Ahmad Malik -- 33. Differential equations involving theta functions and h-functions Vidya H .C. And Ashwath Rao B. Tipo de medio : Computadora Summary : This volume explores the connections between mathematical modeling, computational methods, and high performance computing, and how recent developments in these areas can help to solve complex problems in the natural sciences and engineering. The content of the book is based on talks and papers presented at the conference Modern Mathematical Methods and High Performance Computing in Science & Technology (M3HPCST), held at Inderprastha Engineering College in Ghaziabad, India in January 2020. A wide range of both theoretical and applied topics are covered in detail, including the conceptualization of infinity, efficient domain decomposition, high capacity wireless communication, infectious disease modeling, and more. These chapters are organized around the following areas: Partial and ordinary differential equations Optimization and optimal control High performance and scientific computing Stochastic models and statistics Recent Trendsin Mathematical Modeling and High Performance Computing will be of interest to researchers in both mathematics and engineering, as well as to practitioners who face complex models and extensive computations. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Recent Trends in Mathematical Modeling and High Performance Computing : M3HPCST-2020, Ghaziabad, India, January 9-11, 2020 [documento electrónico] / Singh, Vinai K., ; Sergeyev, Yaroslav D., ; Fischer, Andreas, . - 1 ed. . - [s.l.] : Springer, 2021 . - XVI, 441 p. 150 ilustraciones, 111 ilustraciones en color.
ISBN : 978-3-030-68281-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Modelos matemáticos Matemáticas Informática Análisis numérico Modelización Matemática y Matemática Industrial Ciencias e IngenierÃa Computacional Aplicaciones matemáticas en informática Clasificación: 003.3 Resumen: Este volumen explora las conexiones entre el modelado matemático, los métodos computacionales y la computación de alto rendimiento, y cómo los desarrollos recientes en estas áreas pueden ayudar a resolver problemas complejos en las ciencias naturales y la ingenierÃa. El contenido del libro se basa en charlas y artÃculos presentados en la conferencia Modern Mathematical Methods and High Performance Computing in Science & Technology (M3HPCST), celebrada en Inderprastha Engineering College en Ghaziabad, India, en enero de 2020. Una amplia gama de conocimientos tanto teóricos como Los temas aplicados se tratan en detalle, incluida la conceptualización del infinito, la descomposición eficiente del dominio, la comunicación inalámbrica de alta capacidad, el modelado de enfermedades infecciosas y más. Estos capÃtulos están organizados en torno a las siguientes áreas: Ecuaciones diferenciales parciales y ordinarias Optimización y control óptimo Computación cientÃfica y de alto rendimiento Modelos estocásticos y estadÃsticas Tendencias recientes en modelado matemático y computación de alto rendimiento serán de interés para investigadores tanto en matemáticas como en ingenierÃa, asà como para para profesionales que se enfrentan a modelos complejos y cálculos extensos. Nota de contenido: Section A: Partial and Ordinary Differential Equations - 1. Non Uniform Rational B-Splines and Lagrange approximations for time-harmonic acoustic scattering:accuracy and absorbing boundary conditions S.M. Dsouza,T. Khajah, X. Antoine, S.P.A. Bordas, S. Natarajan -- 2. Some Significant Results on the Union Graph Derived from Topological Space R. A. Muneshwar And K. L. Bondar -- 3. Existence and Uniqueness Results of Second Order Summation-Dierence Equations in Cone Metric Space G. C. Done, K. L. Bondar And P. U. Chopade -- 4. Influence of radiant heat and non uniform heat source on MHD Casson fluid flow of thin Liquid Film beyond a Stretching Sheet Jagadish V Tawade, Mahadev Biradar, And Shaila S. Benal -- 5. Mhd boundary layer fow of Casson fluid with gyrotactic microorganisms over porous linear stretching sheet and heat transfer analysis with viscous dissipation G C Sankad And Ishwar Maharudrappa -- 6. Design Of Coupled FIR filters for solving the nuclear reactor point kinetics equations with feedback M Mohideen Abdul Razak -- 7. Convergence of Substructuring Domain Decomposition Methods for Hamilton-Jacobi Equation Bankim C. Mandal -- 8. Dynamical Behaviour of Dengue: An SIR epidemic model Sudipa Chauhan, Sumit Kaur Bhatia and Simrat Chaudhary -- 9. Deformable Derivative of Fibonacci Polynomials Krishna Kumar Sharma -- Section B: Optimization And Optimal Control -- 10. Simulation and Analysis of 5G Wireless mm-Wave Modulation Technique for High Capacity Communication System M.Vinothkumar And Dr. Vinod Kumar -- 11. Controllability of fractional stochastic delayed system with nonlocal conditions Surendra Kumar -- 12. On Noncritical Solutions of Complementarity Systems Andreas Fischer And Mario Jelitte -- 13. Testing the performance of some new hybrid metaheuristic algorithms for high dimension optimization problems Souvik Ganguli -- 14. Consumer Decisions in the Age of the Internet: Filtering Information when Searching for Valuable Goods David M Ramsey -- 15. Optimality Conditions for Vector Equilibrium Problems Ali Farajzadeh, Sahar Ranjbar -- 16.Strong Pseudoconvexity And Strong Quasiconvexity Of Non-differentiable Functions Sanjeev Kumar Singh, Avanish Shahi And S K Mishra -- 17 Optimality and Duality of pseudolinear multiobjective mathematical programs with vanishing constraints J K Maurya, A Shahi and S K Mishra -- 18. The Solvability and Optimality for Semilinear Stochastic Equation with Unbounded Delay Shobha Yadav And Surendra Kumar -- Section C: High Performance and Scientific Computing -- 19. The Role of Machine Learning and Artificial Intelligence for High Performance Computing Michael M Resch -- 20. Slip Effect On An Unsteady Ferromagnetic Fluid Flow Towards Stagnation Point Over A Stretching Sheet Preeti Kaushik, Dr. Upendra Mishra And Dr. Vinai Kumar Singh -- 21. Parallelization of Local Diagonal Extrema Pattern using a Graphical ProcessingUnit And its Optimization Ashwath Rao B And Gopalakrishna Kini N -- 22. On the recommendations for reducing cpu time of multi-grid preconditioned gauss-seidel method Abdul Hannan Faruqi, M Hamid Siddique, Abdus Samad And Syed Fahad Anwer -- 23. Fragment Production and its dynamics using spatial correlations and Monte-Carlo based Analysis Code Rohit Kumar And Ishita Puri -- 24. Effect of Halo Structure in Nuclear Reactions using Monte-Carlo Simulations Sucheta, Rohit Kumar, And Rajeev K. Puri -- Section D: Stochastic Models and Statistics -- 25. Performance Analysis of a Two-Dimensional State Multiserver Markovian Queueing Model with Reneging Customer Neelam Singla And Sonia Kalra -- 26. Performance modelling of a Discrete-time Retrial Queue with Preferred and Impatient customers, Bernoulli Vacation and Second optional service Geetika Malik And Shweta Upadhyaya -- 27. On the Product and Ratio of Pareto and Maxwell Random Variables Noura Obeid And Seifedine Kadry -- 28. Performance Analysis of a Discrete-time Retrial Queue with Bernoulli Feedback, Starting Failure and Single Vacation Policy Shweta Upadhyaya -- 29. Monofractal and Multifractal Analysis of Indian Agricultural Commodity Prices Neha Sam, Vidhi Vashishth And Yukti -- 30. Empirical Orthogonal Function Analysis of Sub Divisional Rainfall over India K C Tripathi And M L Sharma -- 31. Forecast of Flow Characteristics in Time Dependent Artery having Mild Stenosis A.K. Singh And S.P. Pandey -- 32. Applicability of measure of noncompactness for the boundary value problems in Lp spaces Tanweer Jalal, Ishfaq Ahmad Malik -- 33. Differential equations involving theta functions and h-functions Vidya H .C. And Ashwath Rao B. Tipo de medio : Computadora Summary : This volume explores the connections between mathematical modeling, computational methods, and high performance computing, and how recent developments in these areas can help to solve complex problems in the natural sciences and engineering. The content of the book is based on talks and papers presented at the conference Modern Mathematical Methods and High Performance Computing in Science & Technology (M3HPCST), held at Inderprastha Engineering College in Ghaziabad, India in January 2020. A wide range of both theoretical and applied topics are covered in detail, including the conceptualization of infinity, efficient domain decomposition, high capacity wireless communication, infectious disease modeling, and more. These chapters are organized around the following areas: Partial and ordinary differential equations Optimization and optimal control High performance and scientific computing Stochastic models and statistics Recent Trendsin Mathematical Modeling and High Performance Computing will be of interest to researchers in both mathematics and engineering, as well as to practitioners who face complex models and extensive computations. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
