Description

Book Synopsis
Scientific computing is a collection of tools, techniques and theories required to develop and solve mathematical models in science and engineering on a computer. This timely book provides the various skills and techniques needed in scientific computing. The topics range in difficulty from elementary to advanced, and all the latest fields in scientific computing are covered such as matrices, numerical analysis, neural networks, genetic algorithms, etc.Presented in the format of problems and detailed solutions, important concepts and techniques are introduced and developed. Many problems include software simulations. Algorithms have detailed implementations in C++ or Java. This book will prove to be invaluable not only to students and research workers in the fields of scientific computing, but also to teachers of this subject who will find this text useful as a supplement.The topics discussed in this book are part of the e-learning and distance learning courses conducted by the International School of Scientific Computing, South Africa.

Table of Contents
Quickies; Bitwise Operations; Number Manipulations; Combinatorical Problems; Matrix Calculus; Recursion; Finite State Machines; Lists, Trees and Queues; Numerical Techniques; Random Numbers and Monte Carlo Techniques; Ordinary Differential Equations; Partial Differential Equations; Wavelets; Graphs; Neural Networks; Genetic Algorithms; Optimization; File and String Manipulations; Computer Graphics.

Problems And Solutions In Scientific Computing

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    Order before 4pm today for delivery by Mon 10 Aug 2026.

    A Paperback / softback by Ruedi Stoop, Alexandre Hardy, Yorick Hardy

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      View other formats and editions of Problems And Solutions In Scientific Computing by Ruedi Stoop

      Publisher: World Scientific Publishing Co Pte Ltd
      Publication Date: Publication Date: 03/11/2004
      ISBN13: 9789812561251, 978-9812561251
      ISBN10: 9812561250

      Description

      Book Synopsis
      Scientific computing is a collection of tools, techniques and theories required to develop and solve mathematical models in science and engineering on a computer. This timely book provides the various skills and techniques needed in scientific computing. The topics range in difficulty from elementary to advanced, and all the latest fields in scientific computing are covered such as matrices, numerical analysis, neural networks, genetic algorithms, etc.Presented in the format of problems and detailed solutions, important concepts and techniques are introduced and developed. Many problems include software simulations. Algorithms have detailed implementations in C++ or Java. This book will prove to be invaluable not only to students and research workers in the fields of scientific computing, but also to teachers of this subject who will find this text useful as a supplement.The topics discussed in this book are part of the e-learning and distance learning courses conducted by the International School of Scientific Computing, South Africa.

      Table of Contents
      Quickies; Bitwise Operations; Number Manipulations; Combinatorical Problems; Matrix Calculus; Recursion; Finite State Machines; Lists, Trees and Queues; Numerical Techniques; Random Numbers and Monte Carlo Techniques; Ordinary Differential Equations; Partial Differential Equations; Wavelets; Graphs; Neural Networks; Genetic Algorithms; Optimization; File and String Manipulations; Computer Graphics.

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