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Introduction To Computational Mathematics

This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of modern numerical;

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Numerical Analysis with Algorithms and Programming

Numerical Analysis with Algorithms and Programming is the first comprehensive textbook to provide detailed coverage of numerical methods;

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Introduction to Computational Mathematics

numerical algorithms, scientific computing and optimization. It uses a theorem-free approach with just the right balance between mathematics and;

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Multivariate Algorithms and Information-Based Complexity

, ranging from function approximation, numerical integration, numerical methods for the sphere, and algorithms with random information, to Bayesian;

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Parallel Iterative Algorithms

numerical algorithms. Each chapter contains a theoretical discussion of the topic, an algorithmic section that fully details implementation examples;

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Parallel Iterative Algorithms

numerical algorithms. Each chapter contains a theoretical discussion of the topic, an algorithmic section that fully details implementation examples;

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Handbook of Numerical Methods for Hyperbolic Problems

Handbook of Numerical Methods for Hyperbolic Problems explores the changes that have taken place in the past few decades regarding;

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An Introduction to Numerical Analysis

An Introduction to Numerical Analysis is designed for a first course on numerical analysis for students of Science and Engineering;

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Numerical Optimization

This book starts with illustrations of the ubiquitous character of optimization, and describes numerical algorithms in a tutorial way. It;

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Optimization Algorithms on Matrix Manifolds

manifold structure. This book shows how to exploit the special structure of such problems to develop efficient numerical algorithms. It places;

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Handbook of Numerical Methods for Hyperbolic Problems

Handbook on Numerical Methods for Hyperbolic Problems: Applied and Modern Issues details the large amount of literature in the design;

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Numerical Methods Using Java

Implement numerical algorithms in Java using NM Dev, an object-oriented and high-performance programming library for mathematics.You'll see;

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Numerical Methods Using Java

Implement numerical algorithms in Java using NM Dev, an object-oriented and high-performance programming library for mathematics.Yoüll see;

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Numerical Algorithms with Fortran

This is a completely up-to-date compendium of Fortran algorithms for numerical mathematics, including many sophisticated algorithms which;

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Computational Methods for Option Pricing

Here is a book for anyone who would like to become better acquainted with the modern tools of numerical analysis for several significant;

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Efficient Numerical Algorithms for the Optimal Control Problems

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Numerical Linear Algebra

This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra;

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Elementary Numerical Analysis

in a new appendix and online, offering a modernized version of this classic reference for basic numerical algorithms.;

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Theory and Applications of Numerical Analysis

This text is a self-contained Second Edition, providing an introductory account of the main topics in numerical analysis. The book;

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Numerical Computations: Theory and Algorithms

The two-volume set LNCS 11973 and 11974 constitute revised selected papers from the Third International Conference on Numerical;

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Numerical Methods for Linear Control Systems

Numerical Methods for Linear Control Systems Design and Analysis is an interdisciplinary textbook aimed at systematic descriptions and;

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Numerical Fourier Analysis

. Lastly, it contains a selection of numerical applications, including recent research results on nonlinear function approximation by exponential;

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Java Number Cruncher

This book introduces Java programmers to numerical computing. It contains clear, non-theoretical explanations of practical numerical;

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Attraction in Numerical Minimization

Numerical minimization of an objective function is analyzed in this book to understand solution algorithms for optimization problems;

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Minimax Models in the Theory of Numerical Methods

of problems have always played an important role in numerical analysis. Optimization of the computerized solution process is now a major problem;

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Large-Scale Scientific Computing

particle methods; fractional diffusion problems: numerical methods, algorithms and applications; pore scale flow and transport simulation; tensors;

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Multiresolution Methods in Scattered Data Modelling

This application-oriented work concerns the design of efficient, robust and reliable algorithms for the numerical simulation of multiscale;

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