Numerical Methods in Matrix Computations, ?ke Bj?rck

Автор: Sergey E. Lyshevski
Название: Engineering and Scientific Computations Using MATLAB
ISBN: 0471462004 ISBN-13(EAN): 9780471462002
Издательство: Wiley
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Цена: 77580.00 T
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Описание: Helps readers understand the MATLAB environment, build their skills, and apply its features to a range of applications. This book guides readers through the most important aspects and basics of MATLAB programming and problem-solving from fundamentals to practice.

Автор: Chapra, Steven C.
Название: Numerical methods for engineers
ISBN: 007126759X ISBN-13(EAN): 9780071267595
Издательство: McGraw-Hill
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Цена: 61770.00 T
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Описание: Numerical Methods for Engineers

Автор: Bjorck, Ake
Название: Numerical methods in matrix computations
ISBN: 3319050885 ISBN-13(EAN): 9783319050881
Издательство: Springer
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Цена: 79190.00 T
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Описание: Numerical Methods in Matrix Computations

Автор: Bj?rn Engquist; Olof Runborg; Yen-Hsi R. Tsai
Название: Numerical Analysis of Multiscale Computations
ISBN: 3642269702 ISBN-13(EAN): 9783642269707
Издательство: Springer
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Цена: 93160.00 T
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Описание: It covers fundamental mathematical theory, numerical algorithms as well as practical computational advice for analysing single and multiphysics models containing a variety of scales in time and space.

Автор: Michele Benzi; Dario Bini; Daniel Kressner; Hans M
Название: Exploiting Hidden Structure in Matrix Computations: Algorithms and Applications
ISBN: 331949886X ISBN-13(EAN): 9783319498867
Издательство: Springer
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Цена: 69870.00 T
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Описание: Focusing on special matrices and matrices which are in some sense `near` to structured matrices, this volume covers a broad range of topics of current interest in numerical linear algebra.

Автор: Efstratios Gallopoulos; Bernard Philippe; Ahmed H.
Название: Parallelism in Matrix Computations
ISBN: 9402403175 ISBN-13(EAN): 9789402403176
Издательство: Springer
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Цена: 87060.00 T
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Описание:

This book is primarily intended as a research monograph that could also be used in graduate courses for the design of parallel algorithms in matrix computations.

It assumes general but not extensive knowledge of numerical linear algebra, parallel architectures, and parallel programming paradigms.

The book consists of four parts: (I) Basics; (II) Dense and Special Matrix Computations; (III) Sparse Matrix Computations; and (IV) Matrix functions and characteristics. Part I deals with parallel programming paradigms and fundamental kernels, including reordering schemes for sparse matrices. Part II is devoted to dense matrix computations such as parallel algorithms for solving linear systems, linear least squares, the symmetric algebraic eigenvalue problem, and the singular-value decomposition. It also deals with the development of parallel algorithms for special linear systems such as banded, Vandermonde, Toeplitz, and block Toeplitz systems. Part III addresses sparse matrix computations: (a) the development of parallel iterative linear system solvers with emphasis on scalable preconditioners, (b) parallel schemes for obtaining a few of the extreme eigenpairs or those contained in a given interval in the spectrum of a standard or generalized symmetric eigenvalue problem, and (c) parallel methods for computing a few of the extreme singular triplets. Part IV focuses on the development of parallel algorithms for matrix functions and special characteristics such as the matrix pseudospectrum and the determinant. The book also reviews the theoretical and practical background necessary when designing these algorithms and includes an extensive bibliography that will be useful to researchers and students alike.

The book brings together many existing algorithms for the fundamental matrix computations that have a proven track record of efficient implementation in terms of data locality and data transfer on state-of-the-art systems, as well as several algorithms that are presented for the first time, focusing on the opportunities for parallelism and algorithm robustness.

Автор: E.V. Krishnamurthy
Название: Error-Free Polynomial Matrix Computations
ISBN: 1461295726 ISBN-13(EAN): 9781461295723
Издательство: Springer
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Цена: 107130.00 T
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Описание: This book is written as an introduction to polynomial matrix computa- tions. This book is intended for seniors and graduate students in computer and system sciences, and mathematics, and for researchers in the fields of computer science, numerical analysis, systems theory, and computer algebra.

Автор: Graham
Название: Markov Chains - Analytic and Monte Carlo Computations
ISBN: 1118517075 ISBN-13(EAN): 9781118517079
Издательство: Wiley
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Цена: 89710.00 T
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Описание: Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them.

Автор: Langtangen, Hans Petter
Название: Programming for computations - matlab/octave
ISBN: 3319324519 ISBN-13(EAN): 9783319324517
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book presents computer programming as a key method for solving mathematical problems. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.

Название: Computations and combinatorics in commutative algebra
ISBN: 3319513184 ISBN-13(EAN): 9783319513188
Издательство: Springer
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Цена: 55890.00 T
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Описание: Featuring up-to-date coverage of three topics lying at the intersection of combinatorics and commutative algebra, namely Koszul algebras, primary decompositions and subdivision operations in simplicial complexes, this book has its focus on computations.

Автор: Lelievre Tony Et Al
Название: Free Energy Computations: A Mathematical Perspective
ISBN: 1848162472 ISBN-13(EAN): 9781848162471
Издательство: World Scientific Publishing
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Цена: 158400.00 T
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Описание: Presents an introduction to advanced computational methods for free energy calculations. This book is suitable for practitioners interested in a mathematical treatment, and for applied mathematicians interested in molecular dynamics.

Автор: Jacques Periaux; Stephane Lanteri; Panagiotis Chav
Название: Optimum Aerodynamic Design & Parallel Navier-Stokes Computations ECARP — European Computational Aerodynamics Research Project
ISBN: 3322901955 ISBN-13(EAN): 9783322901958
Издательство: Springer
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Цена: 113190.00 T
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Описание: This volume entitled "European Computational Aerodynamics Research Project (ECARP)" contains the contributions of partners presented in two work- shops focused on the following areas: Task 3 on Optimum Design and Task 4.2 on Navier Stokes Flow algorithms on Massively Parallel Processors. ECARP has been supported by the European Union (EU) through the Indus- trial and Materials Technology Programme, Area 3 Aeronautics, with the Third Research Framework Programme (1990-1994). Part A of this volume is focused on computational constrained optimization as a follow up of the EU research project" Optimum Design in Aerodynamics," (AERO-S9-0026) dealing with more viscous flow based real applications. It pro- vides the reader with a set of optimization tools and referenced data useful in modern aerodynamic design. Task 3 of the project entitled "Optimum Design" brought together 13 Euro- pean partners from the academic and industrial aeronautic oriented community showing state of the art expertise in traditional automated optimization software on current computer technology to improve the capability to optimize aircraft shapes.