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Algorithms for Solving Common Fixed Point Problems, Alexander J. Zaslavski


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Автор: Alexander J. Zaslavski
Название:  Algorithms for Solving Common Fixed Point Problems
ISBN: 9783030084554
Издательство: Springer
Классификация:


ISBN-10: 3030084558
Обложка/Формат: Soft cover
Страницы: 316
Вес: 0.50 кг.
Дата издания: 2018
Серия: Springer Optimization and Its Applications
Язык: English
Издание: Softcover reprint of
Иллюстрации: VIII, 316 p.
Размер: 23.39 x 15.60 x 1.73 cm
Читательская аудитория: General (us: trade)
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
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.


Solving Ordinary Differential Equations II / Stiff and Differential-Algebraic Problems

Автор: Hairer Ernst, Wanner Gerhard
Название: Solving Ordinary Differential Equations II / Stiff and Differential-Algebraic Problems
ISBN: 3540604529 ISBN-13(EAN): 9783540604525
Издательство: Springer
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Цена: 22359.00 р.
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Описание: The subject of this book is the solution of stiff differential equations and of differential-algebraic systems (differential equations with constraints). The book is divided into four chapters. The beginning of each chapter is of introductory nature, followed by practical applications, the discussion of numerical results, theoretical investigations on the order and accuracy, linear and nonlinear stability, convergence and asymptotic expansions. Stiff and differential-algebraic problems arise everywhere in scientific computations (e.g., in physics, chemistry, biology, control engineering, electrical network analysis, mechanical systems). Many applications as well as computer programs are presented.

Fixed-Point Algorithms for Inverse Problems in 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: 23058.00 р.
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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.

Contemporary Algorithms for Solving Problems in Economics and Other Disciplines

Автор: Ioannis K. Argyros
Название: Contemporary Algorithms for Solving Problems in Economics and Other Disciplines
ISBN: 1536181285 ISBN-13(EAN): 9781536181289
Издательство: Nova Science
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Цена: 27402.00 р.
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Описание: Numerous problems from diverse disciplines can be converted using mathematical modelling to an equation defined on suitable abstract spaces usually involving the n-dimensional Euclidean space or Hilbert space or Banach Space or even more general spaces. The solution of these equations is sought in closed form. But this is possible only in special cases. That is why researchers and practitioners use algorithms which seems to be the only alternative. Due to the explosion of technology, scientific and parallel computing, faster and faster computers become available. This development simply means that new optimized algorithms should be developed to take advantage of these improvements. There is exactly where we come in with our book containing such algorithms with application especially in problems from Economics but also from other areas such as Mathematical: Biology, Chemistry, Physics, Scientific, Parallel Computing, and also Engineering. The book can be used by senior undergraduate students, graduate students, researchers and practitioners in the aforementioned area in the classroom or as a reference material. Readers should know the fundamentals of numerical functional analysis, economic theory, and Newtonian physics. Some knowledge of computers and contemporary programming shall be very helpful to the readers.

Eigenvalue Problems: Algorithms, Software and Applications, in Petascale Computing

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: 25155.00 р.
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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.

Analysis and Algorithms of Optimization Problems

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: 12157.00 р.
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Algorithms for Elliptic Problems

Автор: Mari?n Vajtersic
Название: Algorithms for Elliptic Problems
ISBN: 9048141907 ISBN-13(EAN): 9789048141906
Издательство: Springer
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Цена: 19564.00 р.
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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.

Orienteering Problems: Models and Algorithms for Vehicle Routing Problems with Profits

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: 6986.00 р.
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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.

The book provides a comprehensive review of variants of the OP, such as the team OP, the team OP with time windows, the profitable tour problem, and the prize-collecting travelling salesperson problem. In addition, it presents mathematical models and techniques for solving these OP variants and discusses their complexity. Several simple examples and benchmark instances, together with their best-known results, are also included. Finally, the book reviews the latest applications of these problems in the fields of logistics, tourism and others.
Eigenvalue Problems: Algorithms, Software and Applications in Petascale Computing

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
Рейтинг:
Цена: 27950.00 р.
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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.

Computer Algorithms for Solving Linear Algebraic Equations

Автор: Emilio Spedicato
Название: Computer Algorithms for Solving Linear Algebraic Equations
ISBN: 3642767192 ISBN-13(EAN): 9783642767197
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Proceedings of the NATO Advanced Study Institute on Computer Algorithms for Solving Linear Equations: The State of the Art, held at Il Ciocco, Barga, Italy, September 9-21, 1990

Introduction to Computational Thinking: Problem Solving, Algorithms, Data Structures, and More

Автор: Mailund Thomas
Название: Introduction to Computational Thinking: Problem Solving, Algorithms, Data Structures, and More
ISBN: 1484270762 ISBN-13(EAN): 9781484270769
Издательство: Springer
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Цена: 10480.00 р.
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Описание: 1 Introduction 1Models of the world and formalising problems . . 4What is computational thinking? . . . . . . . . . 6Computational thinking in a broader context . . . 12What is to come . . . . . . . . . . . . . . . . . . 152 Introducing Python programming 19Obtaining Python . . . . . . . . . . . . . . . . . 20Running Python . . . . . . . . . . . . . . . . . . 22Expressions in Python . . . . . . . . . . . . . . . 22Logical (or boolean) expressions . . . . . . . . . . 26Variables . . . . . . . . . . . . . . . . . . . . . . 30Working with strings . . . . . . . . . . . . . . . . 32Lists . . . . . . . . . . . . . . . . . . . . . . . . 36Tuples . . . . . . . . . . . . . . . . . . . . . . . 41iiiSets and dictionaries . . . . . . . . . . . . . . . . 42Input and output . . . . . . . . . . . . . . . . . . 44Conditional statements (if statements) . . . . . . 47Loops (for and while) . . . . . . . . . . . . . . . 50Using modules . . . . . . . . . . . . . . . . . . . 543 Introduction to algorithms 57Designing algorithms . . . . . . . . . . . . . . . 62Exercises for sequential algorithms . . . . . . . . 81Exercises on lists . . . . . . . . . . . . . . . . . . 874 Algorithmic eciency 95The RAM model of a computer and its primitiveoperations . . . . . . . . . . . . . . . . . . 97Types of eciency . . . . . . . . . . . . . . . . . 107Asymptotic running time and big-Oh notation . . 116Empirically validating an algorithms running time 1355 Searching and sorting 141Searching . . . . . . . . . . . . . . . . . . . . . . 142Sorting . . . . . . . . . . . . . . . . . . . . . . . 147Generalising searching and sorting . . . . . . . . 182How computers represent numbers . . . . . . . . 1866 Functions 197Parameters and local and global variables . . . . . 203Side eects . . . . . . . . . . . . . . . . . . . . . 210Returning from a function . . . . . . . . . . . . . 215Higher order functions . . . . . . . . . . . . . . . 221Functions vs function instances . . . . . . . . . . 227Default parameters and keyword arguments . . . 230Generalising parameters . . . . . . . . . . . . . . 234Exceptions . . . . . . . . . . . . . . . . . . . . . 239Writing your own Python modules . . . . . . . . 2517 Inner functions 253A comparison function for a search algorithm . . 256Counter function . . . . . . . . . . . . . . . . . . 261Apply . . . . . . . . . . . . . . . . . . . . . . . . 265Currying functions . . . . . . . . . . . . . . . . . 269Function composition . . . . . . . . . . . . . . . 274Thunks and lazy evaluation . . . . . . . . . . . . 276Decorators . . . . . . . . . . . . . . . . . . . . . 281Eciency . . . . . . . . . . . . . . . . . . . . . . 2888 Recursion 291Denitions of recursion . . . . . . . . . . . . . . 291Recursive functions . . . . . . . . . . . . . . . . 293Recursion stacks . . . . . . . . . . . . . . . . . . 297Recursion and iteration . . . . . . . . . . . . . . 307Tail-calls . . . . . . . . . . . . . . . . . . . . . . 316Continuations . . . . . . . . . . . . . . . . . . . 324Continuations, thunks and trampolines . . . . . . 3359 Divide and conquer and dynamic programming 343Divide and conquer running times . . . . . . . . 355Dynamic programming . . . . . . . . . . . . . . 371Representing oating point numbers . . . . . . . 39210 Hidden Markov models 399Probabili

Programming Algorithms in LISP: Writing Efficient Programs with Examples in ANSI Common LISP

Автор: Domkin Vsevolod
Название: Programming Algorithms in LISP: Writing Efficient Programs with Examples in ANSI Common LISP
ISBN: 1484264274 ISBN-13(EAN): 9781484264270
Издательство: Springer
Цена: 4890.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: IntroductionAlgorithmic ComplexityA Crash Course in LispEssential Data StructuresArraysLinked ListsKey-ValuesDerivative Data StructuresTreesGraphsStringsSelected AlgorithmsApproximationCompressionSynchronizationAfterword

Algorithms for solving common fixed point problems /

Автор: Alexander J. Zaslavski
Название: Algorithms for solving common fixed point problems /
ISBN: 3319774360 ISBN-13(EAN): 9783319774367
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
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. 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.


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