A handbook for the computational solution of numerical problems by computer users of all disciplines, particularly relevant to those working with 'small' computers. Emphasis is placed on the various problem types, how they arise and how they can be solved in practical situations.
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Praise for the first edition
Anyone who must solve complex problems on a small computer would be well advised to consult Nash's book for both ideas and actual procedures. Those with the luxury of a large-scale computer for their numerical work will also find much of interest here.
-Peter Castro (Eastman Kodak), Technometrics, 22 February 1980 --This text refers to the Paperback edition.
Anyone who must solve complex problems on a small computer would be well advised to consult Nash's book for both ideas and actual procedures. Those with the luxury of a large-scale computer for their numerical work will also find much of interest here.
-Peter Castro (Eastman Kodak), Technometrics, 22 February 1980 --This text refers to the Paperback edition.
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Key Phrases - Statistically Improbable Phrases (SIPs):
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equivalent function evaluations, metric minimiser, function minimiser, axial search, conjugate gradients minimisation, compact numerical methods, linear search problem, lower function value, algebraic eigenproblem, minimum function value, nonlinear sum, function minimisation, digit cancellation, matrix eigenproblem, inverse interpolation, variable metric algorithm, working array, inverse iteration, compact algorithm, generalised inverse, working vector, digit arithmetic, minimisation algorithms, software diskette, variable metric methods Key Phrases - Capitalized Phrases (CAPs): (learn more)
Data General, Turbo Pascal, Nelder Mead, Computer Journal, Modified Marquardt, Nash Algorithm New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
equivalent function evaluations, metric minimiser, function minimiser, axial search, conjugate gradients minimisation, compact numerical methods, linear search problem, lower function value, algebraic eigenproblem, minimum function value, nonlinear sum, function minimisation, digit cancellation, matrix eigenproblem, inverse interpolation, variable metric algorithm, working array, inverse iteration, compact algorithm, generalised inverse, working vector, digit arithmetic, minimisation algorithms, software diskette, variable metric methods Key Phrases - Capitalized Phrases (CAPs): (learn more)
Data General, Turbo Pascal, Nelder Mead, Computer Journal, Modified Marquardt, Nash Algorithm New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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This book cites 11
books:
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20
books
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- Numerical Recipes: The Art of Scientific Computing by William H. Press on page 11, and Back Matter
- The Elements of Programming Style by Brian W. Kernighan in Back Matter
- Statistical Computing (Statistics: A Series of Textbooks and Monographs) by Kennedy in Back Matter
- Numerical Methods (School Mathematics Project 16-19) by School Mathematics Project in Back Matter
- Numerical Analysis (Proceedings of Symposia in Applied Mathematics, V. 22) by American Mathematical Society on page 11
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- Testing for Normality (Statistics: a Series of Textbooks and Monogrphs) by Henry C. Thode on page 285, and page 336
- The Graduate Student's Guide to Numerical Analysis '98: Lecture Notes from the VIII EPSRC Summer School in Numerical Analysis (Springer Series in Computational Mathematics) by Mark Ainsworth on page 70, and page 82
- Microcomputer Algorithms: Action from Algebra by John Killingbeck in Back Matter
- Pattern Recognition and Neural Networks by Brian D. Ripley in Back Matter
- Practical Forecasting for Managers by John C. Nash in Back Matter
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