Numerical analysis

Introduction to Close Binary Systems provides a comprehensive survey and guide to the fast-moving field of multiple, specifically binary, stars, with an up to date account of research around 'close', i.

The Future of Numerical ComputingWritten by one of the foremost experts in high-performance computing and the inventor of Gustafson's Law, The End of Error: Unum Computing explains a new approach to computer arithmetic: the universal number (unum).

All disciplines of science and engineering use numerical methods for complex problem analysis, due to the highly mathematical nature of the field.

All disciplines of science and engineering use numerical methods for complex problem analysis, due to the highly mathematical nature of the field.

This book is designed for a systematic understanding of nuclear diffusion theory along with fuzzy/interval/stochastic uncertainty.

This book is designed for a systematic understanding of nuclear diffusion theory along with fuzzy/interval/stochastic uncertainty.

Differential equations play a vital role in the fields of engineering and science.

This book describes, in a basic way, the most useful and effective iterative solvers and appropriate preconditioning techniques for some of the most important classes of large and sparse linear systems.

Iterative processes are the tools used to generate sequences approximating solutions of equations describing real life problems.

In Generalized Barycentric Coordinates in Computer Graphics and Computational Mechanics, eminent computer graphics and computational mechanics researchers provide a state-of-the-art overview of generalized barycentric coordinates.

The Second-Order Adjoint Sensitivity Analysis Methodology generalizes the First-Order Theory presented in the author's previous books published by CRC Press.

Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R.

Statistical and mathematical models are defined by parameters that describe different characteristics of those models.

Seeking sparse solutions of underdetermined linear systems is required in many areas of engineering and science such as signal and image processing.

Seeking sparse solutions of underdetermined linear systems is required in many areas of engineering and science such as signal and image processing.

Taking an interdisciplinary approach, this new book provides a modern introduction to scientific computing, exploring numerical methods, computer technology, and their interconnections, which are treated with the goal of facilitating scientific research across all disciplines.

Taking an interdisciplinary approach, this new book provides a modern introduction to scientific computing, exploring numerical methods, computer technology, and their interconnections, which are treated with the goal of facilitating scientific research across all disciplines.

This is the first book on linear algebra written specifically for social scientists.

This is the first book on linear algebra written specifically for social scientists.

This reference/text develops a constructive theory of solvability on linear and nonlinear abstract and differential equations - involving A-proper operator equations in separable Banach spaces, and treats the problem of existence of a solution for equations involving pseudo-A-proper and weakly-A-proper mappings, and illustrates their applications.

This reference/text develops a constructive theory of solvability on linear and nonlinear abstract and differential equations - involving A-proper operator equations in separable Banach spaces, and treats the problem of existence of a solution for equations involving pseudo-A-proper and weakly-A-proper mappings, and illustrates their applications.

Self-contained and concise, this Research Note provides a basis to study unsteady flow in saturated porous media.

Self-contained and concise, this Research Note provides a basis to study unsteady flow in saturated porous media.

The Monte Carlo method is a numerical method of solving mathematical problems through random sampling.

The Monte Carlo method is a numerical method of solving mathematical problems through random sampling.

This text deals with the most fundamental deficiency of modern theory control: the lack of an easily applicable method for the design of low order controllers.

This text deals with the most fundamental deficiency of modern theory control: the lack of an easily applicable method for the design of low order controllers.

Sparked by demands inherent to the mathematical study of pollution, intensive industry, global warming, and the biosphere, Adjoint Equations and Perturbation Algorithms in Nonlinear Problems is the first book ever to systematically present the theory of adjoint equations for nonlinear problems, as well as their application to perturbation algorithms.

Sparked by demands inherent to the mathematical study of pollution, intensive industry, global warming, and the biosphere, Adjoint Equations and Perturbation Algorithms in Nonlinear Problems is the first book ever to systematically present the theory of adjoint equations for nonlinear problems, as well as their application to perturbation algorithms.

Advanced Calculus: An Introduction to Modem Analysis, an advanced undergraduate textbook,provides mathematics majors, as well as students who need mathematics in their field of study,with an introduction to the theory and applications of elementary analysis.

Advanced Calculus: An Introduction to Modem Analysis, an advanced undergraduate textbook,provides mathematics majors, as well as students who need mathematics in their field of study,with an introduction to the theory and applications of elementary analysis.

This volume discusses the advances in numerical heat transfer modeling by applying high-performance computing resources, striking a balance between generic fundamentals, specific fundamentals, generic applications, and specific applications.

This volume discusses the advances in numerical heat transfer modeling by applying high-performance computing resources, striking a balance between generic fundamentals, specific fundamentals, generic applications, and specific applications.

As introduced in Dr.

As introduced in Dr.

Circuit Simulation Methods and Algorithms provides a step-by-step theoretical consideration of methods, techniques, and algorithms in an easy-to-understand format.

Circuit Simulation Methods and Algorithms provides a step-by-step theoretical consideration of methods, techniques, and algorithms in an easy-to-understand format.

This second edition of Compact Numerical Methods for Computers presents reliable yet compact algorithms for computational problems.

This second edition of Compact Numerical Methods for Computers presents reliable yet compact algorithms for computational problems.

First published in 1996.

First published in 1996.

This new book deals with the construction of finite-difference (FD) algorithms for three main types of equations: elliptic equations, heat equations, and gas dynamic equations in Lagrangian form.

This new book deals with the construction of finite-difference (FD) algorithms for three main types of equations: elliptic equations, heat equations, and gas dynamic equations in Lagrangian form.

The conjugate gradient method is a powerful tool for the iterative solution of self-adjoint operator equations in Hilbert space.

The conjugate gradient method is a powerful tool for the iterative solution of self-adjoint operator equations in Hilbert space.

The interest in finite element method as a solution technique of the computer age is reflected in the availability of many general and special purpose software based on this technique.

The interest in finite element method as a solution technique of the computer age is reflected in the availability of many general and special purpose software based on this technique.

Free boundary problems arise in an enormous number of situations in nature and technology.

Free boundary problems arise in an enormous number of situations in nature and technology.

This book serves as an introductory text in mathematical programming and optimization for students having a mathematical background that includes one semester of linear algebra and a complete calculus sequence.