Computational Numerical Analysis Products

  • Decomposition Analysis Method in Linear and Non-Linear Differential Equations

    By Kansari Haldar

    The Adomian decomposition method (ADM) is a semi-analytical method capable of solving partial and ordinary nonlinear differential equations. This book shows how ADM can be used to solve problems formulated to depict real-life situations in physical world. Through various elaborate examples, ADM is…

    Hardback – 2015-10-19 
    Chapman and Hall/CRC

  • Numerical Analysis for Engineers

    Methods and Applications, Second Edition

    By Bilal Ayyub, Richard H. McCuen

    Designed for a one-semester undergraduate introduction to numerical methods, this text covers both the theory and practice of numerical methods for mathematics and engineering. With a wealth of exercises, it emphasizes the practical aspects of numerical methods and addresses their advantages and…

    Hardback – 2015-10-01 
    Chapman and Hall/CRC
    Textbooks in Mathematics

  • Differentiable Optimization

    By Michel Bierlaire

    Optimization algorithms are critical tools for engineers, but difficult to use since none of them are universal in application. This introductery text builds up the knowledge set, from the basics, so that engineering students can understand the processes that govern optimization processes.…

    Paperback – 2015-09-29 
    EPFL Press

  • Line Integral Methods for Conservative Problems

    By Luigi Brugnano, Felice Iavernaro

    Line Integral Methods for Conservative Problems explains the numerical solution of differential equations within the framework of geometric integration, a branch of numerical analysis that devises numerical methods able to reproduce (in the discrete solution) relevant geometric properties of the…

    Hardback – 2015-09-23 
    Chapman and Hall/CRC
    Monographs and Research Notes in Mathematics

  • Computational Economics

    A Concise Introduction

    By Oscar Afonso, Paulo Vasconcelos

    Computational Economics: A concise introduction is a comprehensive textbook designed to help students move from the traditional and comparative static analysis of economic models, to a modern and dynamic computational study. The ability to equate an economic problem, to formulate it into a…

    Paperback – 2015-08-19 
    Routledge
    Routledge Advanced Texts in Economics and Finance

  • Numerical Algorithms

    Methods for Computer Vision, Machine Learning, and Graphics

    By Justin Solomon

    Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook…

    Pack - Book & Ebook – 2015-07-12
    A K Peters/CRC Press

  • Introduction to Computational Linear Algebra

    By Nabil Nassif, Jocelyne Erhel, Bernard Philippe

    Teach Your Students Both the Mathematics of Numerical Methods and the Art of Computer Programming Introduction to Computational Linear Algebra presents classroom-tested material on computational linear algebra and its application to numerical solutions of partial and ordinary differential equations…

    Pack - Book & Ebook – 2015-06-25
    Chapman and Hall/CRC

  • A Practical Guide to Geometric Regulation for Distributed Parameter Systems

    By Eugenio Aulisa, David Gilliam

    A Practical Guide to Geometric Regulation for Distributed Parameter Systems provides an introduction to geometric control design methodologies for asymptotic tracking and disturbance rejection of infinite-dimensional systems. The book also introduces several new control algorithms inspired by…

    Hardback – 2015-06-17
    Chapman and Hall/CRC
    Monographs and Research Notes in Mathematics

  • Parallel Computing for Data Science

    With Examples in R, C++ and CUDA

    By Norman Matloff

    Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p…

    Hardback – 2015-06-03
    Chapman and Hall/CRC
    Chapman & Hall/CRC The R Series

  • Numerical Methods for Fractional Calculus

    By Changpin Li, Fanhai Zeng

    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.…

    Hardback – 2015-05-18
    Chapman and Hall/CRC
    Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series

  • Computational Analysis of Firms’ Organization and Strategic Behaviour

    By Edoardo Mollona

    This book addresses possible applications of computer simulation to theory building in management and organizational theory. The key hypothesis is that modelling and computer simulation provide an environment to develop, test and articulate theoretical propositions. In general, computer simulation…

    Paperback – 2015-04-22
    Routledge

  • The End of Error

    Unum Computing

    By John L. Gustafson

    The Future of Numerical Computing Written 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). The unum encompasses all IEEE floating-point…

    Paperback – 2015-02-04
    Chapman and Hall/CRC
    Chapman & Hall/CRC Computational Science

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