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A01=John C. Nash
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Algebraic Eigenvalue Problem
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Choleski Decomposition
Conjugate Gradients
Conjugate Gradients Algorithm
Conjugate Gradients Method
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Gauss Elimination
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Hold
Inverse Iteration
Jacobi Algorithm
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Linear Equations
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Mathematical Programming Problem
Nelder Mead Algorithm
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Positive Definite
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QR Decomposition
Rayleigh Quotient
Residual Sum
Saddle Points
softlaunch
Step Length
Symmetric Positive Definite Matrix
Violated

Compact Numerical Methods for Computers

English

By (author): John C. Nash

This second edition of Compact Numerical Methods for Computers presents reliable yet compact algorithms for computational problems. As in the previous edition, the author considers specific mathematical problems of wide applicability, develops approaches to a solution and the consequent algorithm, and provides the program steps. He emphasizes useful applicable methods from various scientific research fields, ranging from mathematical physics to commodity production modeling. While the ubiquitous personal computer is the particular focus, the methods have been implemented on computers as small as a programmable pocket calculator and as large as a highly parallel supercomputer.

New to the Second Edition

  • Presents program steps as Turbo Pascal code
  • Includes more algorithmic examples
  • Contains an extended bibliography

    The accompanying software (available by coupon at no charge) includes not only the algorithm source codes, but also driver programs, example data, and several utility codes to help in the software engineering of end-user programs. The codes are designed for rapid implementation and reliable use in a wide variety of computing environments. Scientists, statisticians, engineers, and economists who prepare/modify programs for use in their work will find this resource invaluable. Moreover, since little previous training in numerical analysis is required, the book can also be used as a supplementary text for courses on numerical methods and mathematical software.
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    Current price €122.99
    Original price €133.99
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    A01=John C. NashAge Group_UncategorizedAlgebraic Eigenvalue ProblemAuthor_John C. Nashautomatic-updateCategory1=Non-FictionCategory=PBFCategory=PBWCategory=UKPCategory=UMXCategory=UYCholeski DecompositionConjugate GradientsConjugate Gradients AlgorithmConjugate Gradients MethodCOP=United KingdomCross-products MatrixDelivery_Pre-ordereq_computingeq_isMigrated=2eq_non-fictionFollowGauss EliminationHexadecimal DigitHoldInverse IterationJacobi AlgorithmLanguage_EnglishLinear EquationsLinear SearchMathematical Programming ProblemNelder Mead AlgorithmNull SpacePA=Temporarily unavailablePositive DefinitePrice_€100 and abovePS=ActiveQR DecompositionRayleigh QuotientResidual SumSaddle PointssoftlaunchStep LengthSymmetric Positive Definite MatrixViolated

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    Product Details
    • Weight: 700g
    • Dimensions: 178 x 254mm
    • Publication Date: 28 Jun 2018
    • Publisher: Taylor & Francis Ltd
    • Publication City/Country: GB
    • Language: English
    • ISBN13: 9781138413108

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