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Algorithms for Solving Common Fixed Point Problems

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;

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Nonlinear Programming Techniques for Equilibria

. convex optimization, nonsmooth calculus, proximal point and descent algorithms - as valuable tools for analyzing and solving Ky Fan inequalities.;

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Optimization on Solution Sets of Common Fixed Point Problems

solution sets of common fixed point problems and convex feasibility problems. These optimization problems are investigated to determine good;

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Optimization on Solution Sets of Common Fixed Point Problems

solution sets of common fixed point problems and convex feasibility problems. These optimization problems are investigated to determine good;

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Optimization in Solving Elliptic Problems

- the optimization of numerical algorithms for solving elliptic problems. It presents detailed discussions of how asymptotically optimal;

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Advances in Metric Fixed Point Theory and Applications

, mathematical preliminaries and proofs of the main results. The book discusses common fixed point theory, convergence theorems, split variational;

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Mathematical Foundations of Nature-Inspired Algorithms

of algorithms and understand how and why they work for solving optimization problems. In-depth mathematical analyses are carried out for different;

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Fixed Point Theory and Graph Theory

intersection of the domains. The authors provide solution methods for fixed points in different settings, with two chapters devoted to the;

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Transforming Floating-Point Algorithms to Fixed-Point Implementations

into fixed-point arithmetic to reduce implementation complexity. This transformation process may take most of the design time for complex;

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Metric Structures and Fixed Point Theory

of solutions of integral and differential equations are closely related to fixed point theory. For this reason, many people over the past seventy years;

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Fixed Point Theory, Variational Analysis, and Optimization

Fixed Point Theory, Variational Analysis, and Optimization not only covers three vital branches of nonlinear analysis-fixed point theory;

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Fixed Points of Set Valued Maps

The study of the existence of fixed points is a lively and fascinating field of research and has many applications in engineering, physics;

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Computer Arithmetic Algorithms

include basic arithmetic operations like addition, subtraction, multiplication, and division in fixed-point and floating-point number systems as;

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Grokking Algorithms

DESCRIPTION Algorithms nothing more than step-by-step procedures for solving problems and most algorithms used by programmers have already;

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Genetic Algorithms in Java Basics

Genetic Algorithms in Java Basics is a brief introduction to solving problems using genetic algorithms, with working projects and solutions;

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Elementary Fixed Point Theorems

fixed theorem for a commuting family of analytic functions and Bergweiler's existence theorem on fixed points of the composition of certain;

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Optimization Techniques for Solving Complex Problems

, telecommunications, and bioinformatics. Part One-covers methodologies for complex problem solving including genetic programming, neural networks, genetic;

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Alternating Projection Methods

This book describes and analyzes all available alternating projection methods for solving the general problem of finding a point in the;

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Data Correcting Approaches in Combinatorial Optimization

special cases of computationally intractable problems. The purpose of this text is to design practically efficient algorithms for solving wide;

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Totally Convex Functions for Fixed Points Computation and Infinite Dimensional Optimization

The main purpose of this book is to present, in a unified approach, several algorithms for fixed point computation, convex feasibility and;

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Implementing the Common Core State Standards through Mathematical Problem Solving

illuminate a crucial link between problem solving and the Common Core State Standards. The 37 problems and tasks for students in this book are;

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Stochastic Methods for Boundary Value Problems

This monograph is devoted to random walk based stochastic algorithms for solving high-dimensional boundary value problems of mathematical;

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RLS Wiener Smoother from Randomly Delayed Observations in Linear Discrete-Time Systems

algorithms for the fixed-point smoothing and filtering estimates. The proof for deriving the RLS Wiener fixed-point smoother and filter is shown;

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Constructive Real Analysis

provides the tools for studying problem-related algorithms.Topics include iterations and fixed points, metric spaces, nonlinear programming;

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Algorithmics for Hard Problems

Algorithmic design, especially for hard problems, is more essential for success in solving them than any standard improvement of current;

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Implementing the Common Core State Standards through Mathematical Problem Solving

Mathematics educators have long worked to help students develop problem-solving skills. More recently, they have searched for the best ways;

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Digital Signal Processors

using both the fixed-point and floating-point processors.;

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