Numerical Recipes: The Art of Scientific Computing (3rd Edition)
- Publisher: MATHEMATICS
- Availability: In Stock
- SKU: 54997
- Number of Pages: 1234
Rs.2,190.00
Rs.2,550.00
Tags: 3rd edition , applied math , Applied Mathematics , Brian P. Flannery , c++ code , computational physics , engineering tools , flannery , graduate reference , interpolation , numerical algorithms , numerical recipes , ode , pde , programming in c++ , Saul A. Teukolsky , saul teukolsky , science and engineering , Scientific Computing , simulations , The Art of Scientific Computing , vetterling , William H. Press , william press , William T. Vetterling
Numerical Recipes: The Art of Scientific Computing (3rd Edition)
Authors: William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery
Edition: 3rd Edition
Binding: Paperback
Paper Quality: High-quality academic print
Category: Computer Science, Scientific Computing, Applied Mathematics
Recommended For:
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Graduate and Undergraduate Students in Physics, Engineering, and Computer Science
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Researchers and Practitioners in Computational Fields
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Competitive exam aspirants in technical fields (GATE, GRE)
Key Points:
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Trusted Global Reference
The most widely used text and reference for scientific computing, offering foundational and advanced numerical algorithms with robust explanations. -
Covers Over 100 Numerical Algorithms
Includes methods for solving equations, linear algebra, interpolation, integration, differential equations, Fourier analysis, statistics, and random numbers. -
Code in C++
Comes with working C++ code for all algorithms, designed for reuse and modification, bridging theory with practical implementation. -
Well-Structured Explanations
Emphasizes understanding of when and why specific methods work or fail, with notes on stability, efficiency, and accuracy. -
Useful Across Disciplines
Applicable in physics simulations, bioinformatics, data science, engineering analysis, and machine learning research. -
Companion Website Access
Offers downloadable source code and further learning material for academic or research use.