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Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77
Introduction to Programming with Fortran - with coverage of Fortran 90, 95, 2003 and 77
MATLAB - Modelling, Programming and Simulations
-MATLAB: Modelling, Programming and Simulations- ed. by Emilson Pereira Leite (Repost)
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Programming Computer Vision with Python: Tools and algorithms for analyzing images
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The Art of Computer Programming, Volume 4, Fascicle 3: Generating All Combinations and Partitions
Posted on 2010-03-17
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Product DescriptionThis multivolume work on the analysis of algorithms has long been recognized as the definitive description of classical computer science.The three complete volumes published to date already comprise a unique and invaluable resource in programming theory and practice. Countless readers have spoken about the profound personal influence of Knuth's writings. Scientists have marveled at the beauty and elegance of his analysis, while practicing programmers have successfully applied his "cookbook" solutions to their day-to-day problems. All have admired Knuth for the breadth, clarity, accuracy, and good humor found in his books. To begin the fourth and later volumes of the set, and to update parts of the existing three, Knuth has created a series of small books called fascicles, which will be published at regular intervals. Each fascicle will encompass a section or more of wholly new or revised material. Ultimately, the content of these fascicles will be rolled up into the comprehensive, final versions of each volume, and the enormous undertaking that began in 1962 will be complete. Volume 4, Fascicle 3 This fascicle continues Knuth's authoritative chapter on combinatorial algorithms, ultimately to be included in Volume 4 of The Art of Computer Programming. The previous fascicle from Volume 4, which covered the generation of all tuples and permutations, is now complemented by techniques for generating all combinations and partitions. In Knuth's thorough discussion of these two topics, readers will find much that is new, as well as surprisingly rich ties to material in Volumes 1 through 3 and to other aspects of computer science and mathematics. As usual, this fascicle includes a bounty of creative exercises, as well as intriguing challenges posed by yet-unsolved questions. From the Back CoverThis multivolume work on the analysis of algorithms has long been recognized as the definitive description of classical computer science.The three complete volumes published to date already comprise a unique and invaluable resource in programming theory and practice. Countless readers have spoken about the profound personal influence of Knuth's writings. Scientists have marveled at the beauty and elegance of his analysis, while practicing programmers have successfully applied his “cookbook” solutions to their day-to-day problems. All have admired Knuth for the breadth, clarity, accuracy, and good humor found in his books. To begin the fourth and later volumes of the set, and to update parts of the existing three, Knuth has created a series of small books called fascicles, which will be published at regular intervals. Each fascicle will encompass a section or more of wholly new or revised material. Ultimately, the content of these fascicles will be rolled up into the comprehensive, final versions of each volume, and the enormous undertaking that began in 1962 will be complete. Volume 4, Fascicle 3 This fascicle continues Knuth's authoritative chapter on combinatorial algorithms, ultimately to be included in Volume 4 of The Art of Computer Programming. The previous fascicle from Volume 4, which covered the generation of all tuples and permutations, is now complemented by techniques for generating all combinations and partitions. In Knuth's thorough discussion of these two topics, readers will find much that is new, as well as surprisingly rich ties to material in Volumes 1 through 3 and to other aspects of computer science and mathematics. As usual, this fascicle includes a bounty of creative exercises, as well as intriguing challenges posed by yet-unsolved questions.
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