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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)
Programming Social Applications: Building Viral Experiences with OpenSocial, OAuth, OpenID, and Distributed Web... (repost)
MATLAB Programming for Engineers (2nd edition) [Repost]
Sriranga Veeraraghavan, "Sams Teach Yourself Shell Programming in 24 Hours" (Repost)
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]
Concurrent Programming on Windows (repost)
Expert WSS 3.0 and MOSS 2007 Programming (repost)
Embedded Software Design and Programming of Multiprocessor System-on-Chip (repost)
OpenCV 2 Computer Vision Application Programming Cookbook
Programming Computer Vision with Python: Tools and algorithms for analyzing images
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Programming How to Multiply Matrices Faster (Lecture Notes in Computer Science): Victor Pan
Posted on 2010-03-16
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More How to Multiply Matrices Faster (Lecture Notes in Computer Science): Victor Pan Matrix multiplication (hereafter referred to as_ MM) is a basic operation of linear algebra, which has numerous applications to the theory and practice of computation. In particular, several important applications are due to the fact that MM is a substantial part of several successful algorithms for other computational problems of linear algebra and combinatorics, such.as the solution of a system of linear equations, matrix inversion, the evaluation of the determinant of a matrix, Boolean MM, and the transitive closure of a graph. Moreover, the computational time required for MM is the dominating part of the total computational time required for all of those problems, that is, all such problems can be reduced to MM and can be solved fast if MM is solved fast. To see my other books, click Download Link (Here).
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