discrete optimization computer science and scientific computing

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Parallel Scientific Computing And Optimization

Author : Raimondas Ciegis
ISBN : 9780387097077
Genre : Mathematics
File Size : 44. 93 MB
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Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including survey chapters and surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications. This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.

Discrete Optimization

Author : R. Gary Parker
ISBN : 9781483294803
Genre : Mathematics
File Size : 83. 45 MB
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This book treats the fundamental issues and algorithmic strategies emerging as the core of the discipline of discrete optimization in a comprehensive and rigorous fashion. Following an introductory chapter on computational complexity, the basic algorithmic results for the two major models of polynomial algorithms are introduced--models using matroids and linear programming. Further chapters treat the major non-polynomial algorithms: branch-and-bound and cutting planes. The text concludes with a chapter on heuristic algorithms. Several appendixes are included which review the fundamental ideas of linear programming, graph theory, and combinatorics--prerequisites for readers of the text. Numerous exercises are included at the end of each chapter.

Scientific Computing In Chemical Engineering Ii

Author : Frerich Keil
ISBN : 3540658513
Genre : Mathematics
File Size : 84. 70 MB
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The application of modern methods in numerical mathematics on problems in chemical engineering is essential for designing, analyzing and running chemical processes and even entire plants. Scientific Computing in Chemical Engineering II gives the state of the art from the point of view of numerical mathematicians as well as that of engineers. The present volume as part of a two-volume edition covers topics such as computer-aided process design, combustion and flame, image processing, optimization, control, and neural networks. The volume is aimed at scientists, practitioners and graduate students in chemical engineering, industrial engineering and numerical mathematics.

Parallel Algorithms For Irregular Problems State Of The Art

Author : Alfonso Ferreira
ISBN : 9781475761306
Genre : Computers
File Size : 39. 56 MB
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Efficient parallel solutions have been found to many problems. Some of them can be obtained automatically from sequential programs, using compilers. However, there is a large class of problems - irregular problems - that lack efficient solutions. IRREGULAR 94 - a workshop and summer school organized in Geneva - addressed the problems associated with the derivation of efficient solutions to irregular problems. This book, which is based on the workshop, draws on the contributions of outstanding scientists to present the state of the art in irregular problems, covering aspects ranging from scientific computing, discrete optimization, and automatic extraction of parallelism. Audience: This first book on parallel algorithms for irregular problems is of interest to advanced graduate students and researchers in parallel computer science.

Computational Issues In High Performance Software For Nonlinear Optimization

Author : Almerico Murli
ISBN : 9780585267784
Genre : Business & Economics
File Size : 72. 59 MB
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Computational Issues in High Performance Software for Nonlinear Research brings together in one place important contributions and up-to-date research results in this important area. Computational Issues in High Performance Software for Nonlinear Research serves as an excellent reference, providing insight into some of the most important research issues in the field.

High Performance Computing For Computational Science Vecpar 2006

Author : Michel Daydé
ISBN : 9783540713500
Genre : Computers
File Size : 59. 40 MB
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Following the practice of all previous editions of the VECPAR series of conf- ences, the most signi'cant contributions have been organized and made ava- able in a book, edited after the conference, and after a second review of all orally presented papers at VECPAR 2006,the seventh International Meeting on High-PerformanceComputing forComputationalScience,held inRiodeJaneiro (Brazil), June 10-13, 2006. After the conference is ?nished this is what is left, a document that, we hope, can be a reference to a wide range of researchers in computational science. For the ?rst time, and re'ecting the conference programme of the seventh edition of the VECPAR series, this book includes some of the presentations at the two workshops, namely: WCGC 2006 -- Workshop on Computational Grids and Clusters: Models, Middlewares, Testbeds, Architectures, User Feedback HPDGrid 2006 -- International Workshop on High-Performance Data M- agement in Grid Environments Both the workshops and the conference programme evidence the current trends in computer and computational science, with an increasing importance of the Grid technologies.

Algebraic And Geometric Ideas In The Theory Of Discrete Optimization

Author : JesÏs A. De Loera
ISBN : 9781611972436
Genre : Mathematics
File Size : 89. 96 MB
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In recent years, many new techniques have emerged in the mathematical theory of discrete optimization that have proven to be effective in solving a number of hard problems. This book presents these recent advances, particularly those that arise from algebraic geometry, commutative algebra, convex and discrete geometry, generating functions, and other tools normally considered outside of the standard curriculum in optimization. These new techniques, all of which are presented with minimal prerequisites, provide a transition from linear to nonlinear discrete optimization. This book can be used as a textbook for advanced undergraduates or first-year graduate students in mathematics, computer science or operations research. It is also appropriate for mathematicians, engineers, and scientists engaged in computation who wish to gain a deeper understanding of how and why algorithms work.

Applications Of Continuous Mathematics To Computer Science

Author : Hung T. Nguyen
ISBN : 0792347226
Genre : Mathematics
File Size : 46. 92 MB
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This volume is intended to be used as a textbook for a special topic course in computer science. It addresses contemporary research topics of interest such as intelligent control, genetic algorithms, neural networks, optimization techniques, expert systems, fractals, and computer vision. The work incorporates many new research ideas, and focuses on the role of continuous mathematics. Audience: This book will be valuable to graduate students interested in theoretical computer topics, algorithms, expert systems, neural networks, and software engineering.

Genetic Algorithms In Engineering And Computer Science

Author : G. Winter
ISBN : UOM:39015058881213
Genre : Computers
File Size : 20. 75 MB
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Genetic Algorithms in Engineering and Computer Science Edited by G. Winter University of Las Palmas, Canary Islands, Spain J. Périaux Dassault Aviation, Saint Cloud, France M. Galán P. Cuesta University of Las Palmas, Canary Islands, Spain This attractive book alerts us to the existence of evolution based software - Genetic Algorithms and Evolution Strategies-used for the study of complex systems and difficult optimization problems unresolved until now. Evolution algorithms are artificial intelligence techniques which mimic nature according to the 'survival of the fittest' (Darwin's principle). They randomly encode physical (quantitative or qualitative) variables via digital DNA inside computers and are known for their robustness to better explore large search spaces and find near-global optima than traditional optimization methods. The objectives of this volume are two-fold:to present a compendium of state-of-the-art lectures delivered by recognized experts in the field on theoretical, numerical and applied aspects of Genetic Algorithms for the computational treatment of continuous, discrete and combinatorial optimization problems.to provide a bridge between Artificial Intelligence and Scientific Computing in order to increase the performance of evolution programs for solving real life problems.Fluid dynamics, structure mechanics, electromagnetics, automation control, resource optimization, image processing and economics are the featured multi-disciplinary areas among others in Engineering and Applied Sciences where evolution works impressively well. This volume is aimed at graduate students, applied mathematicians, computer scientists, researchers and engineers who face challenging design optimization problems in Industry. They will enjoy implementing new programs using these evolution techniques which have been experimented with by Nature for 3.5 billion years.

Scientific Computing With Case Studies

Author : Dianne P. O'Leary
ISBN : 9780898716665
Genre : Mathematics
File Size : 64. 93 MB
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This book is a practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. It treats standard problems and introduces important variants such as sparse systems, differential-algebraic equations, constrained optimization, Monte Carlo simulations, and parametric studies. Stability and error analysis are emphasized, and the Matlab algorithms are grounded in sound principles of software design and understanding of machine arithmetic and memory management. Nineteen case studies provide experience in mathematical modeling and algorithm design, motivated by problems in physics, engineering, epidemiology, chemistry, and biology. The topics included go well beyond the standard first-course syllabus, introducing important problems such as differential-algebraic equations and conic optimization problems, and important solution techniques such as continuation methods. The case studies cover a wide variety of fascinating applications, from modeling the spread of an epidemic to determining truss configurations.

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