The Lanczos and Conjugate Gradient Algorithms: From Theory to Finite Precision Computations (Software, ... Gérard Meurant SIAM, 2006 "No present book comes near this one in the range and depth of treatment of these two extremely important methods—the Lanczos algorithm and the method of conjugate gradients." Chris Paige, School of Computer Science, McGill University.   The Lanczos and conjugate gradient (CG) algorithms are fascinating numerical algorithms. This book presents the most comprehensive discussion to date of the ...             Convex Optimization7 reviews Stephen Boyd, Lieven Vandenberghe Cambridge University Press, 2004 Excelent reference both for theory and practice + A good source on formulating convex optimization models + A very good starting point for convex optimization + The way to go for introducing optimization + A definite guide             Approximation Algorithms6 reviews Vijay V. Vazirani Springer, 2004 Very nice introduction + a wide variety of topics + Short and Sweet + Much needed desktop reference for anyone working with algorithms, networking protocols, optimization + Only for graduate level - very good             Theory of Linear and Integer Programming4 reviews Alexander Schrijver Wiley, 1998 An Eyclopedic reference for linear and integer prog. + Good book + Excelent book + Advanced LP and IP book             Statistical Methods for Speech Recognition (Language, Speech, and Communication)7 reviews Frederick Jelinek The MIT Press, 1998 Thorough Overview of Stats and Algorithms for Speech Rec + Excellent for experts + Excellent synposis of statistical theory + Excellent,Unique Book - Destined to be a Classic + An excellent book             The Nature of Statistical Learning Theory (Information Science and Statistics)5 reviews Vladimir Vapnik Springer, 1999 A research field described by the man who invented it + Remarkably readable tour of one path into machine learning + A very nice book to get ideas on support vector machines Vapnik and collaborators have developed the field of statistical learning theory underlying recent advances in machine learning and artificial intelligence (e.g. support vector machines). This book almost accomplishes the formidable task of comprehensibly describing the essential ideas of ...             Combinatorial Optimization: Theory and Algorithms (Algorithms and Combinatorics)1 review Bernhard Korte, Jens Vygen Springer, 2005 Useful yet dense! This is the most comprehensive compilation on combinatorial optiomization I have seen so far. Usually, Papadimitriou's book is a good place for this material - but in many cases, looking for proofs and theorems - I had to use several books: (*) Combinatorial Optimization Algorithms and Complexity ...             Nonlinear Programming7 reviews Dimitri P. Bertsekas Athena Scientific, 1999 Why do you need to pay attention to Bertsekas collection ? + Excellent + excellent book The study of optimization is not an easy task. Several books, different levels, some books only addressing theory, some books emphasizing algorithms and a few addressing modelling. When you read scientific papers, eventually you will convince yourself of the necessity to know some more ...             Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition)26 reviews Gene H. Golub, Charles F. Van Loan The Johns Hopkins University Press, 1996 The bible of numerical linear algebra + Matrix Computations is an excellent guide to understanding and implementing Numerical Linear Algebra + bible + Exactly what I needed             The Discrepancy Method2 reviews Bernard Chazelle Cambridge University Press, 2001 One of a kind + An unusual mix of topics, fresh perspective Deep math meets computer science over a hugely diverse range of topics: an amazing book!             Primal-Dual Interior-Point Methods3 reviews Stephen J. Wright Society for Industrial Mathematics, 1987 The easiest explanation of interior point linear programming + Wright is always right + Excellent Book There are basically 2 well-developed practical methods that dominate the solution methods known for solving linear programming (linear optimization) problems on the computer. The first one is the "Simplex Method" which was first developed in the 1940s but has since evolved into an efficient method ...             Model Building in Mathematical Programming, 4th Edition6 reviews H. P. Williams Wiley, 1999 Excellent + The best book on *practical* model building + Great OR book + The Best Book of Its Kind + Good book for every one             Linear Programming: Foundations and Extensions (International Series in Operations Research & Management ...4 reviews Robert J. Vanderbei Springer, 2007 Professor Robert Freund's review + Excellent book + Profesor This is a much more detailed one as compared to the other two and was penned by MIT ORC Professor Robert Freund. Summary. This book presents a thoroughly modern treatment of linear programming that achieves a healthy balance between theory, implementation, computation, and between the simplex ...             Managing Gigabytes: Compressing and Indexing Documents and Images (The Morgan Kaufmann Series in Multimedia ...11 reviews Alistair Moffat, Timothy C. Bell Morgan Kaufmann, 1999 The Wonderful Thing Is: It's the Only One + one of the best book on search engineering + A Comprehensive Introduction To Text Retrieval Systems + Great Book on Information Retrieval + Very clear, but misses some key real-world issues             AMPL: A Modeling Language for Mathematical Programming3 reviews Robert Fourer, David M. Gay, ... Duxbury Press, 2002 A Great Companion for Great Software + 5 Stars + BEST MODELING LANGUAGE IN THE WORLD Most software "companions" (more than a manual...not quite a book) really do not do justice to the software. Quite the contrary for the AMPL guide. AMPL (the language) is a *very* powerful and *very* easy to use Optimization package. It interfaces with most of the major solvers. Users program ...             Fourier Transform and Its Applications11 reviews Ronald Bracewell McGraw-Hill College, 1999 The best book for Fourier transform + A fine general introduction to the Fourier Transform + value more than prices! + MUST HAVE + Good book on practical, fourier analysis, excellent problems             C++ Templates: The Complete Guide25 reviews David Vandevoorde, Nicolai M. Josuttis Addison-Wesley Professional, 2002 If you were snobish about programming, you will have great respect for coding after you read it + Best book on templates + Another Great C++ Book from Josuttis + a real complete guide + Best book on C++ templates             Pattern Classification (2nd Edition)26 reviews Richard O. Duda, Peter E. Hart, ... Wiley-Interscience, 2000 excellent revision of a classical text on statistical pattern recognition + Great product & service The 1973 book by Duda and Hart was a classic. It surveyed the literature on pattern classification and scene analysis and provided the practitioner with wonderful insight and exposition of the subject. In the intervening 28 years the field has exploded and there has been an enormous increase in ...             Visual Complex Analysis32 reviews Tristan Needham Oxford University Press, USA, 1997 Excellently Judged And Works Extremely Well + I'd give it 6 stars, if they would let me. + Best Book Ever. + Different and valuable + Feynman Unleashed!!!             Stationary and Related Stochastic Processes: Sample Function Properties and Their Applications (Dover Books ... Harald Cramer, M. Ross Leadbetter Dover Publications, 2004 This graduate-level text offers a comprehensive account of the general theory of stationary processes, with special emphasis on the properties of sample functions. The text develops the foundations of the general theory of stochastic processes, examines processes with a continuous-time parameter, and applies the general theory to procedures key to the study of stationary processes. 1967 ...