Contemporary Algorithms for Solving Problems in Economics and Other Disciplines, Ioannis K. Argyros

Автор: Alexander J. Zaslavski
Название: Algorithms for solving common fixed point problems /
ISBN: 3319774360 ISBN-13(EAN): 9783319774367
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book details approximate solutions to common fixed point problems and convex feasibility problems in the presence of perturbations. Convex feasibility problems search for a common point of a finite collection of subsets in a Hilbert space; common fixed point problems pursue a common fixed point of a finite collection of self-mappings in a Hilbert space. A variety of algorithms are considered in this book for solving both types of problems, the study of which has fueled a rapidly growing area of research. This monograph is timely and highlights the numerous applications to engineering, computed tomography, and radiation therapy planning. Totaling eight chapters, this book begins with an introduction to foundational material and moves on to examine iterative methods in metric spaces. The dynamic string-averaging methods for common fixed point problems in normed space are analyzed in Chapter 3. Dynamic string methods, for common fixed point problems in a metric space are introduced and discussed in Chapter 4. Chapter 5 is devoted to the convergence of an abstract version of the algorithm which has been called component-averaged row projections (CARP). Chapter 6 studies a proximal algorithm for finding a common zero of a family of maximal monotone operators. Chapter 7 extends the results of Chapter 6 for a dynamic string-averaging version of the proximal algorithm. In Chapters 8 subgradient projections algorithms for convex feasibility problems are examined for infinite dimensional Hilbert spaces.

Автор: Alexander J. Zaslavski
Название: Algorithms for Solving Common Fixed Point Problems
ISBN: 3030084558 ISBN-13(EAN): 9783030084554
Издательство: Springer
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Цена: 111790.00 T
Наличие на складе: Нет в наличии.
Описание: This book details approximate solutions to common fixed point problems and convex feasibility problems in the presence of perturbations. common fixed point problems pursue a common fixed point of a finite collection of self-mappings in a Hilbert space.

Автор: Jin-Yi Cai, Xi Chen
Название: Complexity Dichotomies for Counting Problems: Volume 1, Boolean Domain
ISBN: 1107062373 ISBN-13(EAN): 9781107062375
Издательство: Cambridge Academ
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Цена: 155230.00 T
Наличие на складе: Невозможна поставка.
Описание: Complexity theory aims to understand and classify computational problems according to their inherent complexity. This book uses new techniques to expand the theory for use with counting problems on the Boolean domain and is broadly accessible to researchers and graduate students.

Автор: Tetsuya Sakurai; Shao-Liang Zhang; Toshiyuki Imamu
Название: Eigenvalue Problems: Algorithms, Software and Applications, in Petascale Computing
ISBN: 3319624245 ISBN-13(EAN): 9783319624242
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book provides state-of-the-art and interdisciplinary topics on solving matrix eigenvalue problems, particularly by using recent petascale and upcoming post-petascale supercomputers.

Автор: Ito Kazufumi, Jin Bangti
Название: Inverse Problems: Tikhonov Theory and Algorithms
ISBN: 9814596191 ISBN-13(EAN): 9789814596190
Издательство: World Scientific Publishing
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Цена: 118270.00 T
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Описание:

Inverse problems arise in practical applications whenever one needs to deduce unknowns from observables. This monograph is a valuable contribution to the highly topical field of computational inverse problems. Both mathematical theory and numerical algorithms for model-based inverse problems are discussed in detail. The mathematical theory focuses on nonsmooth Tikhonov regularization for linear and nonlinear inverse problems. The computational methods include nonsmooth optimization algorithms, direct inversion methods and uncertainty quantification via Bayesian inference.

The book offers a comprehensive treatment of modern techniques, and seamlessly blends regularization theory with computational methods, which is essential for developing accurate and efficient inversion algorithms for many practical inverse problems.

It demonstrates many current developments in the field of computational inversion, such as value function calculus, augmented Tikhonov regularization, multi-parameter Tikhonov regularization, semismooth Newton method, direct sampling method, uncertainty quantification and approximate Bayesian inference. It is written for graduate students and researchers in mathematics, natural science and engineering.

Автор: Heinz H. Bauschke; Regina S. Burachik; Patrick L.
Название: Fixed-Point Algorithms for Inverse Problems in Science and Engineering
ISBN: 1461429005 ISBN-13(EAN): 9781461429005
Издательство: Springer
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Цена: 153720.00 T
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Описание: This book presents recent work from top-notch researchers studying projection and other first-order fixed-point algorithms in several areas of mathematics and the applied sciences. It provides a survey of the theory and practice in fixed-point algorithms.

Автор: Kazimierz Malanowski; Koichi Mizukami
Название: Analysis and Algorithms of Optimization Problems
ISBN: 3540166602 ISBN-13(EAN): 9783540166603
Издательство: Springer
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Цена: 81050.00 T
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Автор: Mari?n Vajtersic
Название: Algorithms for Elliptic Problems
ISBN: 9048141907 ISBN-13(EAN): 9789048141906
Издательство: Springer
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Цена: 130430.00 T
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Описание: 'Et moi, ..., si j'avait su comment. One service mathematics has ren- en revenir, je n'y serais point alle'. dered the human race. It has put common sense back where it be- Jules Verne longs, on the topmost shelf next to the dusty canister labelIed 'discard- The series is divergent; therefore we ed nonsense'. may be able to do something with Eric T. Bell it. O. Heaviside Mathematics is a tool for thought. A highly necessary tool in a world where both feedback and nonlinearities abound. Similarly, all kinds of parts of mathematics serve as tools for other parts and for other sciences. Applying a simple rewriting rule to the quote on the right above one finds such statements as: 'One service topology has rendered mathema- tical physics ... '; 'One service logic has rendered computer science ... '; 'One service category theory has rendered mathematics ... '. All ar- guably true. Alld all statements obtainable this way form part of the raison d 'etre of this serics.

Автор: Vansteenwegen Pieter, Gunawan Aldy
Название: Orienteering Problems: Models and Algorithms for Vehicle Routing Problems with Profits
ISBN: 3030297454 ISBN-13(EAN): 9783030297459
Издательство: Springer
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Цена: 46570.00 T
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Описание: This tutorial introduces readers to several variants of routing problems with profits. In these routing problems each node has a certain profit, and not all nodes need to be visited. Since the orienteering problem (OP) is by far the most frequently studied problem in this category of routing problems, the book mainly focuses on the OP. In turn, other problems are presented as variants of the OP, focusing on the similarities and differences. The goal of the OP is to determine a subset of nodes to visit and in which order, so that the total collected profit is maximized and a given time budget is not exceeded.

Автор: Tetsuya Sakurai; Shao-Liang Zhang; Toshiyuki Imamu
Название: Eigenvalue Problems: Algorithms, Software and Applications in Petascale Computing
ISBN: 3319873091 ISBN-13(EAN): 9783319873091
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book provides state-of-the-art and interdisciplinary topics on solving matrix eigenvalue problems, particularly by using recent petascale and upcoming post-petascale supercomputers.

Автор: Marchuk, Guri I. , Agoshkov, Valeri I. , Shutyae
Название: Adjoint Equations and Perturbation Algorithms in Nonlinear Problems
ISBN: 0367448580 ISBN-13(EAN): 9780367448585
Издательство: Taylor&Francis
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Цена: 67360.00 T
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Описание: This book presents the theory of adjoint equations in nonlinear problems and their applications to perturbation algorithms for solution of nonlinear problems in mathematical physics. It formulates a series of principles of construction of adjoint operators in nonlinear problems.

Автор: Mehl Miriam, Bischoff Manfred, Schafer Michael
Название: Recent Trends in Computational Engineering - Ce2014: Optimization, Uncertainty, Parallel Algorithms, Coupled and Complex Problems
ISBN: 3319387219 ISBN-13(EAN): 9783319387215
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book presents selected papers from the 3rd International Workshop on Computational Engineering held in Stuttgart from October 6 to 10, 2014, bringing together innovative contributions from related fields with computer science and mathematics as an important technical basis among others.