Computational Mathematics in Engineering and Applied Science : ODEs, DAEs, and PDEs
Book Details
Format
Hardback or Cased Book
Book Series
Symbolic & Numeric Computation
ISBN-10
0849373735
ISBN-13
9780849373732
Publisher
Taylor & Francis Inc
Imprint
CRC Press Inc
Country of Manufacture
US
Country of Publication
GB
Publication Date
Oct 25th, 1993
Print length
600 Pages
Weight
1,270 grams
Product Classification:
Differential calculus & equationsMaths for computer scientists
Ksh 49,500.00
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Computational Mathematics in Engineering and Applied Science provides numerical algorithms and associated software for solving a spectrum of problems in ordinary differential equations (ODEs), differential algebraic equations (DAEs), and partial differential equations (PDEs) that occur in science and engineering
Computational Mathematics in Engineering and Applied Science provides numerical algorithms and associated software for solving a spectrum of problems in ordinary differential equations (ODEs), differential algebraic equations (DAEs), and partial differential equations (PDEs) that occur in science and engineering. It presents detailed examples, each including a complete analysis of a computer code written in transportable Fortran 77. Each example also includes a discussion of the problem equations, the coding of the equations, and the computed numerical solution. The benefits of using quality general-purpose library routines to solve ODE/DAE/PDE problems are illustrated as well.
This popular, classic book is a valuable reference for methodologies in numerical mathematics applicable to a broad spectrum of problems encountered across many disciplines- virtually all fields of science and engineering. It also serves as an excellent text for senior undergraduates or beginning graduate students in computational science.
This popular, classic book is a valuable reference for methodologies in numerical mathematics applicable to a broad spectrum of problems encountered across many disciplines- virtually all fields of science and engineering. It also serves as an excellent text for senior undergraduates or beginning graduate students in computational science.
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