Numerical Recipes: The Art of Scientific Computing
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- Type：Epub+TxT+PDF+Mobi
- Create Date：2021-06-12 09:54:50
- Update Date：2025-09-06
- Status：finish
- Author：William H. Press
- ISBN：0521880688
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Summary
Co-authored by four leading scientists from academia and industry， Numerical Recipes Third Edition starts with basic mathematics and computer science and proceeds to complete， working routines。 Widely recognized as the most comprehensive， accessible and practical basis for scientific computing， this new edition incorporates more than 400 Numerical Recipes routines， many of them new or upgraded。 The executable C++ code， now printed in color for easy reading， adopts an object-oriented style particularly suited to scientific applications。 The whole book is presented in the informal， easy-to-read style that made earlier editions so popular。 Please visit www。nr。com or www。cambridge。org/us/numericalrecipes for more details。 More information concerning licenses is available at: www。nr。com/licenses New key features: 2 new chapters， 25 new sections， 25% longer than Second Edition Thorough upgrades throughout the text Over 100 completely new routines and upgrades of many more。 New Classification and Inference chapter， including Gaussian mixture models， HMMs， hierarchical clustering， Support Vector Machines
New Computational Geometry chapter covers KD trees， quad- and octrees， Delaunay triangulation， and algorithms for lines， polygons， triangles， and spheres New sections include interior point methods for linear programming， Monte Carlo Markov Chains， spectral and pseudospectral methods for PDEs， and many new statistical distributions An expanded treatment of ODEs with completely new routines Plus comprehensive coverage of linear algebra， interpolation， special functions， random numbers， nonlinear sets of equations， optimization， eigensystems， Fourier methods and wavelets， statistical tests， ODEs and PDEs， integral equations， and inverse theory
New Computational Geometry chapter covers KD trees， quad- and octrees， Delaunay triangulation， and algorithms for lines， polygons， triangles， and spheres New sections include interior point methods for linear programming， Monte Carlo Markov Chains， spectral and pseudospectral methods for PDEs， and many new statistical distributions An expanded treatment of ODEs with completely new routines Plus comprehensive coverage of linear algebra， interpolation， special functions， random numbers， nonlinear sets of equations， optimization， eigensystems， Fourier methods and wavelets， statistical tests， ODEs and PDEs， integral equations， and inverse theory
Reviews
Jon Koelzer
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This book rocks。 The license does not。 Can't fault the guy for that though。 You can tell the author put a ton of time into distilling the information and presenting the incredibly complicated topics of numerical analysis in a way that can be immediately applicable to anyone who regularly has to solve complex numerical problems。Even part-way into the first chapter， I learned something fundamental about C++ which for some reason I had never noticed （with 6 years of C++ and BSCS）。 How to detect a N This book rocks。 The license does not。 Can't fault the guy for that though。 You can tell the author put a ton of time into distilling the information and presenting the incredibly complicated topics of numerical analysis in a way that can be immediately applicable to anyone who regularly has to solve complex numerical problems。Even part-way into the first chapter， I learned something fundamental about C++ which for some reason I had never noticed （with 6 years of C++ and BSCS）。 How to detect a NaN value is as simple as "if （x！=x）"。 You'll have to read to learn more。This is a must-have for the aspiring computer scientist seeking to expand their repertoire of problem-solving tools and techniques。 From simple tips-and-tricks to supervised learning algorithms such as K-means clustering， this book will provide both adequate explanations as well as detailed implementations （you certainly want to write the code yourself *especially* for work， as the aforementioned license is comprehensive and limiting） which can provide you with solid foundations upon which to develop your own solutions。 。。。more
Jeffrey Sung
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What can really be said about this besides "really useful？" What can really be said about this besides "really useful？" 。。。more
Rick Eversole
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Great coverage of key numerical algorithms。The only downside is the restrictions on use of the coded examples in your project。
Steve Stuart
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Even three decades after it was first published， it's hard to do better than this classic for a first step into any of the practical， numerical algorithms that it covers。 There are other options available， all of them more modern， but none are as readable or entertaining as this one。 And， in my opinion， none are as well targeted towards the things you need to know when implementing a method for yourself， while leaving for other texts the things that you don't need to know if you're just going to Even three decades after it was first published， it's hard to do better than this classic for a first step into any of the practical， numerical algorithms that it covers。 There are other options available， all of them more modern， but none are as readable or entertaining as this one。 And， in my opinion， none are as well targeted towards the things you need to know when implementing a method for yourself， while leaving for other texts the things that you don't need to know if you're just going to use a third-party library， or unless you need to code or develop specialized methods。 It also avoids delving too deeply into the numerical analysis topics that bog down many other books on numerical or scientific computing。 Those formal approaches have their place， and are important to know， but can get in the way of practical implementation for most everyday scientific computing problems。 The name Numerical Recipes is well chosen。 If this were a cookbook， its competitors would spend many chapters on explaining the chemistry behind the role of coagulants and protein denaturation during cooking; this one gives you the recipes and some practical tips for how to get them to come out right。A common criticism is that this book is a little out of date， presenting methods that now have better alternatives。 This is true， but it's still my first choice when I need to remind myself of the basics， or grab a quick snippet of code， or figure out the best way to explain a topic to someone else。 。。。more
Nathan
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