Numerical recipes : the art of scientific computing

By:

Press, William H

Contributor(s):

Material type: Text

TextPublication details: Cambridge Cambridge University Press 2007Edition: 3rd edDescription: xxi, 1235pISBN:

9780521880688 (hb.)

Subject(s):

DDC classification:

518.0285 PRE

Summary: "1. Preliminaries 2. Solution of linear algebraic equations 3. Interpolation and extrapolation 4. Integration of functions 5. Evaluation of functions 6. Special functions 7. Random numbers 8. Sorting and selection 9. Root finding and nonlinear sets of equations 10. Minimization or maximization of functions 11. Eigensystems 12. Fast Fourier transform 13. Fourier and spectral applications 14. Statistical description of data 15. Modeling of data 16. Classification and inference 17. Integration of ordinary differential equations 18. Two point boundary value problems 19. Integral equations and inverse theory 20. Partial differential equations 21. Computational geometry 22. Less-numerical algorithms References."

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Plaksha University Library	Mathematics	518.0285 PRE (Browse shelf(Opens below))	Available		003741
Book	Plaksha University Library	Mathematics	518.0285 PRE (Browse shelf(Opens below))	Available		002657

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Previous	517 RUD Principles of mathematical analysis	518.02 JAI Numerical methods : for scientific and engineering computation	518.02462 CHA Numerical methods for engineers	518.0285 PRE Numerical recipes : the art of scientific computing	518.0285 PRE Numerical recipes : the art of scientific computing	518.1 DAS Algorithms	518.1 DAS Algorithms	Next

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"1. Preliminaries
2. Solution of linear algebraic equations
3. Interpolation and extrapolation
4. Integration of functions
5. Evaluation of functions
6. Special functions
7. Random numbers
8. Sorting and selection
9. Root finding and nonlinear sets of equations
10. Minimization or maximization of functions
11. Eigensystems
12. Fast Fourier transform
13. Fourier and spectral applications
14. Statistical description of data
15. Modeling of data
16. Classification and inference
17. Integration of ordinary differential equations
18. Two point boundary value problems
19. Integral equations and inverse theory
20. Partial differential equations
21. Computational geometry
22. Less-numerical algorithms
References."

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