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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)
Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77 [Repost]
An Introduction to Programming and Numerical Methods in MATLAB [Repost]
"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
Matlab: A Practical Introduction to Programming and Problem Solving (2nd edition) [Repost]
ECOOP 2011 - Object-Oriented Programming
Mobile JavaScript Application Development - Bringing Web Programming to Mobile Devices [Paperback]
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OpenCV 2 Computer Vision Application Programming Cookbook
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Programming Introduction to Algorithms (Hardcover) SE
Posted on 2010-04-10
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More Introduction to Algorithms (Hardcover) SE By Thomas H. Cormen (Author) Charles E. Leiserson (Author) Ronald L. Rivest (Author) Clifford Stein (Author) There are books on algorithms that are rigorous but incomplete and others that cover masses of material but lack rigor. Introduction to Algorithms combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became the standard reference for professionals and a widely used text in universities worldwide. The second edition features new chapters on the role of algorithms probabilistic analysis and randomized algorithms and linear programming as well as extensive revisions to virtually every section of the book. In a subtle but important change loop invariants are introduced early and used throughout the text to prove algorithm correctness. Without changing the mathematical and analytic focus the authors have moved much of the mathematical foundations material from Part I to an appendix and have included additional motivational material at the beginning. Download (7Mb): More ebooks available in Mirror: Mirror ->
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