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Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series

About the Book 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.

26 Series Titles


Introduction to Grid Computing

Introduction to Grid Computing

1st Edition

By Frederic Magoules, Jie Pan, Kiat-An Tan, Abhinit Kumar
October 23, 2019

A Thorough Overview of the Next Generation in ComputingPoised to follow in the footsteps of the Internet, grid computing is on the verge of becoming more robust and accessible to the public in the near future. Focusing on this novel, yet already powerful, technology, Introduction to Grid Computing ...

Discrete Dynamical Systems and Chaotic Machines Theory and Applications

Discrete Dynamical Systems and Chaotic Machines: Theory and Applications

1st Edition

By Jacques Bahi, Christophe Guyeux
September 23, 2019

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: ...

Coupled Systems Theory, Models, and Applications in Engineering

Coupled Systems: Theory, Models, and Applications in Engineering

1st Edition

By Juergen Geiser
September 19, 2019

Efficient Methods to Solve Complex Coupled SystemsCoupled 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 ...

Particle Swarm Optimisation Classical and Quantum Perspectives

Particle Swarm Optimisation: Classical and Quantum Perspectives

1st Edition

By Jun Sun, Choi-Hong Lai, Xiao-Jun Wu
September 19, 2019

Although the particle swarm optimisation (PSO) algorithm requires relatively few parameters and is computationally simple and easy to implement, it is not a globally convergent algorithm. In Particle Swarm Optimisation: Classical and Quantum Perspectives, the authors introduce their concept of ...

Computational Fluid Dynamics

Computational Fluid Dynamics

1st Edition

Edited By Frederic Magoules
September 18, 2018

Exploring new variations of classical methods as well as recent approaches appearing in the field, Computational Fluid Dynamics demonstrates the extensive use of numerical techniques and mathematical models in fluid mechanics. It presents various numerical methods, including finite volume, finite ...

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

By 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

By 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

By 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 ...

Handbook of Sinc Numerical Methods

Handbook of Sinc Numerical Methods

1st Edition

By 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

By 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 ...

Discrete Variational Derivative Method A Structure-Preserving Numerical Method for Partial Differential Equations

Discrete Variational Derivative Method: A Structure-Preserving Numerical Method for Partial Differential Equations

1st Edition

By Daisuke Furihata, Takayasu Matsuo
December 09, 2010

Nonlinear Partial Differential Equations (PDEs) have become increasingly important in the description of physical phenomena. Unlike Ordinary Differential Equations, PDEs can be used to effectively model multidimensional systems. The methods put forward in Discrete Variational Derivative Method ...

Classical and Modern Numerical Analysis Theory, Methods and Practice

Classical and Modern Numerical Analysis: Theory, Methods and Practice

1st Edition

By Azmy S. Ackleh, Edward James Allen, R. Baker Kearfott, Padmanabhan Seshaiyer
July 20, 2009

Classical and Modern Numerical Analysis: Theory, Methods and Practice provides a sound foundation in numerical analysis for more specialized topics, such as finite element theory, advanced numerical linear algebra, and optimization. It prepares graduate students for taking doctoral examinations in ...

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