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


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Автор: Ioannis K. Argyros
Название:  Contemporary Algorithms for Solving Problems in Economics and Other Disciplines
ISBN: 9781536181289
Издательство: Nova Science
Классификация:

ISBN-10: 1536181285
Обложка/Формат: Hardback
Страницы: 325
Вес: 0.57 кг.
Дата издания: 17.07.2020
Язык: English
Размер: 157 x 233 x 18
Читательская аудитория: General (us: trade)
Ключевые слова: Mathematics
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Поставляется из: Англии
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.


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.
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
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Цена: 16769.00 р.
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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.

Algorithms for Solving Common Fixed Point Problems

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: 16769.00 р.
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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.

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.

Inverse Problems: Tikhonov Theory and Algorithms

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: 17741.00 р.
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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.

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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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
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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.

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

Solving Problems in Mathematical Analysis, Part I: Sets, Functions, Limits, Derivatives, Integrals, Sequences and Series

Автор: Radożycki Tomasz
Название: Solving Problems in Mathematical Analysis, Part I: Sets, Functions, Limits, Derivatives, Integrals, Sequences and Series
ISBN: 3030358437 ISBN-13(EAN): 9783030358433
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This textbook offers an extensive list of completely solved problems in mathematical analysis. This first of three volumes covers sets, functions, limits, derivatives, integrals, sequences and series, to name a few. The series contains the material corresponding to the first three or four semesters of a course in Mathematical Analysis.

Based on the author's years of teaching experience, this work stands out by providing detailed solutions (often several pages long) to the problems. The basic premise of the book is that no topic should be left unexplained, and no question that could realistically arise while studying the solutions should remain unanswered. The style and format are straightforward and accessible.

In addition, each chapter includes exercises for students to work on independently. Answers are provided to all problems, allowing students to check their work. Though chiefly intended for early undergraduate students of Mathematics, Physics and Engineering, the book will also appeal to students from other areas with an interest in Mathematical Analysis, either as supplementary reading or for independent study.

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

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.

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.


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