Numerical Methods For Differential Equations Optimization And Technological Problems PDF Download
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Author | : Sergey Repin |
Publisher | : Springer Science & Business Media |
Total Pages | : 446 |
Release | : 2012-10-13 |
Genre | : Technology & Engineering |
ISBN | : 9400752873 |
Download Numerical Methods for Differential Equations, Optimization, and Technological Problems Book in PDF, ePub and Kindle
This book contains the results in numerical analysis and optimization presented at the ECCOMAS thematic conference “Computational Analysis and Optimization” (CAO 2011) held in Jyväskylä, Finland, June 9–11, 2011. Both the conference and this volume are dedicated to Professor Pekka Neittaanmäki on the occasion of his sixtieth birthday. It consists of five parts that are closely related to his scientific activities and interests: Numerical Methods for Nonlinear Problems; Reliable Methods for Computer Simulation; Analysis of Noised and Uncertain Data; Optimization Methods; Mathematical Models Generated by Modern Technological Problems. The book also includes a short biography of Professor Neittaanmäki.
Author | : Sergey Repin |
Publisher | : Springer Science & Business Media |
Total Pages | : 446 |
Release | : 2012-10-13 |
Genre | : Technology & Engineering |
ISBN | : 9400752881 |
Download Numerical Methods for Differential Equations, Optimization, and Technological Problems Book in PDF, ePub and Kindle
This book contains the results in numerical analysis and optimization presented at the ECCOMAS thematic conference “Computational Analysis and Optimization” (CAO 2011) held in Jyväskylä, Finland, June 9–11, 2011. Both the conference and this volume are dedicated to Professor Pekka Neittaanmäki on the occasion of his sixtieth birthday. It consists of five parts that are closely related to his scientific activities and interests: Numerical Methods for Nonlinear Problems; Reliable Methods for Computer Simulation; Analysis of Noised and Uncertain Data; Optimization Methods; Mathematical Models Generated by Modern Technological Problems. The book also includes a short biography of Professor Neittaanmäki.
Author | : William Fitzgibbon |
Publisher | : Springer |
Total Pages | : 252 |
Release | : 2014-06-18 |
Genre | : Technology & Engineering |
ISBN | : 940179054X |
Download Modeling, Simulation and Optimization for Science and Technology Book in PDF, ePub and Kindle
This volume contains thirteen articles on advances in applied mathematics and computing methods for engineering problems. Six papers are on optimization methods and algorithms with emphasis on problems with multiple criteria; four articles are on numerical methods for applied problems modeled with nonlinear PDEs; two contributions are on abstract estimates for error analysis; finally one paper deals with rare events in the context of uncertainty quantification. Applications include aerospace, glaciology and nonlinear elasticity. Herein is a selection of contributions from speakers at two conferences on applied mathematics held in June 2012 at the University of Jyväskylä, Finland. The first conference, “Optimization and PDEs with Industrial Applications” celebrated the seventieth birthday of Professor Jacques Périaux of the University of Jyväskylä and Polytechnic University of Catalonia (Barcelona Tech) and the second conference, “Optimization and PDEs with Applications” celebrated the seventy-fifth birthday of Professor Roland Glowinski of the University of Houston. This work should be of interest to researchers and practitioners as well as advanced students or engineers in computational and applied mathematics or mechanics.
Author | : Alfio Borzi |
Publisher | : SIAM |
Total Pages | : 295 |
Release | : 2012-01-26 |
Genre | : Mathematics |
ISBN | : 1611972043 |
Download Computational Optimization of Systems Governed by Partial Differential Equations Book in PDF, ePub and Kindle
This book provides a bridge between continuous optimization and PDE modelling and focuses on the numerical solution of the corresponding problems. Intended for graduate students in PDE-constrained optimization, it is also suitable as an introduction for researchers in scientific computing or optimization.
Author | : Harendra Singh |
Publisher | : CRC Press |
Total Pages | : 336 |
Release | : 2021-07-29 |
Genre | : Mathematics |
ISBN | : 1000381080 |
Download Advanced Numerical Methods for Differential Equations Book in PDF, ePub and Kindle
Mathematical models are used to convert real-life problems using mathematical concepts and language. These models are governed by differential equations whose solutions make it easy to understand real-life problems and can be applied to engineering and science disciplines. This book presents numerical methods for solving various mathematical models. This book offers real-life applications, includes research problems on numerical treatment, and shows how to develop the numerical methods for solving problems. The book also covers theory and applications in engineering and science. Engineers, mathematicians, scientists, and researchers working on real-life mathematical problems will find this book useful.
Author | : Kevin W. Cassel |
Publisher | : Cambridge University Press |
Total Pages | : 728 |
Release | : 2021-03-04 |
Genre | : Technology & Engineering |
ISBN | : 1108787622 |
Download Matrix, Numerical, and Optimization Methods in Science and Engineering Book in PDF, ePub and Kindle
Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate solutions. Explores the dynamical systems theory used to describe and characterize system behaviour, alongside the techniques used to optimize their performance. Integrates and unifies matrix and eigenfunction methods with their applications in numerical and optimization methods. Consolidating, generalizing, and unifying these topics into a single coherent subject, this practical resource is suitable for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics.
Author | : Kevin W. Cassel |
Publisher | : Cambridge University Press |
Total Pages | : 727 |
Release | : 2021-03-04 |
Genre | : Mathematics |
ISBN | : 110847909X |
Download Matrix, Numerical, and Optimization Methods in Science and Engineering Book in PDF, ePub and Kindle
Vector and matrix algebra -- Algebraic eigenproblems and their applications -- Differential eigenproblems and their applications -- Vector and matrix calculus -- Analysis of discrete dynamical systems -- Computational linear algebra -- Numerical methods for differential equations -- Finite-difference methods for boundary-value problems -- Finite-difference methods for initial-value problems -- Least-squares methods -- Data analysis : curve fitting and interpolation -- Optimization and root finding of algebraic systems -- Data-driven methods and reduced-order modeling.
Author | : Robert Dautray |
Publisher | : Springer |
Total Pages | : 604 |
Release | : 2015-03-20 |
Genre | : Mathematics |
ISBN | : 364261566X |
Download Mathematical Analysis and Numerical Methods for Science and Technology Book in PDF, ePub and Kindle
These 6 volumes - the result of a 10 year collaboration between the authors, two of France's leading scientists and both distinguished international figures - compile the mathematical knowledge required by researchers in mechanics, physics, engineering, chemistry and other branches of application of mathematics for the theoretical and numerical resolution of physical models on computers. Since the publication in 1924 of the "Methoden der mathematischen Physik" by Courant and Hilbert, there has been no other comprehensive and up-to-date publication presenting the mathematical tools needed in applications of mathematics in directly implementable form. The advent of large computers has in the meantime revolutionised methods of computation and made this gap in the literature intolerable: the objective of the present work is to fill just this gap. Many phenomena in physical mathematics may be modeled by a system of partial differential equations in distributed systems: a model here means a set of equations, which together with given boundary data and, if the phenomenon is evolving in time, initial data, defines the system. The advent of high-speed computers has made it possible for the first time to calculate values from models accurately and rapidly. Researchers and engineers thus have a crucial means of using numerical results to modify and adapt arguments and experiments along the way. Every facet of technical and industrial activity has been affected by these developments. Modeling by distributed systems now also supports work in many areas of physics (plasmas, new materials, astrophysics, geophysics), chemistry and mechanics and is finding increasing use in the life sciences.
Author | : Naser Mahdavi Tabatabaei |
Publisher | : Springer Nature |
Total Pages | : 1033 |
Release | : 2021-03-22 |
Genre | : Technology & Engineering |
ISBN | : 303062191X |
Download Numerical Methods for Energy Applications Book in PDF, ePub and Kindle
This book provides a thorough guide to the use of numerical methods in energy systems and applications. It presents methods for analysing engineering applications for energy systems, discussing finite difference, finite element, and other advanced numerical methods. Solutions to technical problems relating the application of these methods to energy systems are also thoroughly explored. Readers will discover diverse perspectives of the contributing authors and extensive discussions of issues including: • a wide variety of numerical methods concepts and related energy systems applications;• systems equations and optimization, partial differential equations, and finite difference method;• methods for solving nonlinear equations, special methods, and their mathematical implementation in multi-energy sources;• numerical investigations of electrochemical fields and devices; and• issues related to numerical approaches and optimal integration of energy consumption. This is a highly informative and carefully presented book, providing scientific and academic insight for readers with an interest in numerical methods and energy systems.
Author | : Lorenz T. Biegler |
Publisher | : Springer Science & Business Media |
Total Pages | : 347 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 364255508X |
Download Large-Scale PDE-Constrained Optimization Book in PDF, ePub and Kindle
Optimal design, optimal control, and parameter estimation of systems governed by partial differential equations (PDEs) give rise to a class of problems known as PDE-constrained optimization. The size and complexity of the discretized PDEs often pose significant challenges for contemporary optimization methods. With the maturing of technology for PDE simulation, interest has now increased in PDE-based optimization. The chapters in this volume collectively assess the state of the art in PDE-constrained optimization, identify challenges to optimization presented by modern highly parallel PDE simulation codes, and discuss promising algorithmic and software approaches for addressing them. These contributions represent current research of two strong scientific computing communities, in optimization and PDE simulation. This volume merges perspectives in these two different areas and identifies interesting open questions for further research.