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Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series


About the Series

This series, comprising of a diverse collection of textbooks, references, and handbooks, brings together a wide range of topics across numerical analysis and scientific computing. The books contained in this series will appeal to an academic audience, both in mathematics and computer science, and naturally find applications in engineering and the physical sciences.

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Mathematical Objects in C++: Computational Tools in A Unified Object-Oriented Approach

Mathematical Objects in C++: Computational Tools in A Unified Object-Oriented Approach

1st Edition

Yair Shapira
June 28, 2017

Emphasizing the connection between mathematical objects and their practical C++ implementation, this book provides a comprehensive introduction to both the theory behind the objects and the C and C++ programming. Object-oriented implementation of three-dimensional meshes facilitates understanding...

Decomposition Methods for Differential Equations: Theory and Applications

Decomposition Methods for Differential Equations: Theory and Applications

1st Edition

Juergen Geiser
June 14, 2017

Decomposition Methods for Differential Equations: Theory and Applications describes the analysis of numerical methods for evolution equations based on temporal and spatial decomposition methods. It covers real-life problems, the underlying decomposition and discretization, the stability and...

Numerical Techniques for Direct and Large-Eddy Simulations

Numerical Techniques for Direct and Large-Eddy Simulations

1st Edition

Xi Jiang, Choi-Hong Lai
June 14, 2017

Compared to the traditional modeling of computational fluid dynamics, direct numerical simulation (DNS) and large-eddy simulation (LES) provide a very detailed solution of the flow field by offering enhanced capability in predicting the unsteady features of the flow field. In many cases, DNS can...

Computational Methods for Numerical Analysis with R

Computational Methods for Numerical Analysis with R

1st Edition

James P Howard, II
June 08, 2017

Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R code....

Handbook of Sinc Numerical Methods

Handbook of Sinc Numerical Methods

1st Edition

Frank Stenger
May 31, 2017

Handbook of Sinc Numerical Methods presents an ideal road map for handling general numeric problems. Reflecting the author’s advances with Sinc since 1995, the text most notably provides a detailed exposition of the Sinc separation of variables method for numerically solving the full range of...

Iterative Splitting Methods for Differential Equations

Iterative Splitting Methods for Differential Equations

1st Edition

Juergen Geiser
May 31, 2017

Iterative Splitting Methods for Differential Equations explains how to solve evolution equations via novel iterative-based splitting methods that efficiently use computational and memory resources. It focuses on systems of parabolic and hyperbolic equations, including convection-diffusion-reaction...

Numerical Methods for Fractional Calculus

Numerical Methods for Fractional Calculus

1st Edition

Changpin Li, Fanhai Zeng
May 19, 2015

Numerical Methods for Fractional Calculus presents numerical methods for fractional integrals and fractional derivatives, finite difference methods for fractional ordinary differential equations (FODEs) and fractional partial differential equations (FPDEs), and finite element methods for FPDEs....

Numerical Methods and Optimization: An Introduction

Numerical Methods and Optimization: An Introduction

1st Edition

Sergiy Butenko, Panos M. Pardalos
March 11, 2014

For students in industrial and systems engineering (ISE) and operations research (OR) to understand optimization at an advanced level, they must first grasp the analysis of algorithms, computational complexity, and other concepts and modern developments in numerical methods. Satisfying this...

Coupled Systems: Theory, Models, and Applications in Engineering

Coupled Systems: Theory, Models, and Applications in Engineering

1st Edition

Juergen Geiser
February 14, 2014

Efficient Methods to Solve Complex Coupled Systems Coupled Systems: Theory, Models, and Applications in Engineering explains how to solve complicated coupled models in engineering using analytical and numerical methods. It presents splitting multiscale methods to solve multiscale and multiphysics...

Designing Scientific Applications on GPUs

Designing Scientific Applications on GPUs

1st Edition

Raphael Couturier
November 21, 2013

Many of today’s complex scientific applications now require a vast amount of computational power. General purpose graphics processing units (GPGPUs) enable researchers in a variety of fields to benefit from the computational power of all the cores available inside graphics cards. Understand the...

Discrete Dynamical Systems and Chaotic Machines: Theory and Applications

Discrete Dynamical Systems and Chaotic Machines: Theory and Applications

1st Edition

Jacques M. Bahi, Christophe Guyeux
June 07, 2013

For computer scientists, especially those in the security field, the use of chaos has been limited to the computation of a small collection of famous but unsuitable maps that offer no explanation of why chaos is relevant in the considered contexts. Discrete Dynamical Systems and Chaotic Machines:...

Cloud Computing: Data-Intensive Computing and Scheduling

Cloud Computing: Data-Intensive Computing and Scheduling

1st Edition

Frederic Magoules, Jie Pan, Fei Teng
September 20, 2012

As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis software. Addressing performance issues, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical techniques and describes...

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