'Faster algorithm' presentation slideshows

Recursion and Exhaustion

Recursion and Exhaustion. Hong Kong Olympiad in Informatics 2009 Hackson Leung 2009-01-24. Agenda. Pre-requisite Recursion Exhaustion More...?. Pre-requisite. Know something beforehand. Pre-requisite. Function Mathematically, it gives output(s) from input(s)

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Pareto Optimality in House Allocation Problems

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CSCE 411 Design and Analysis of Algorithms

CSCE 411 Design and Analysis of Algorithms. Set 1: Introduction Prof. Jennifer Welch Spring 2013. Mechanics. https://parasol.tamu.edu/people/welch/teaching/411.s13 Piazza for announcements and class discussion: http://www.piazza.com/tamu/spring2013/csce411 Sources: [CLRS] (textbook)

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Fast Sparse Matrix Multiplication

Fast Sparse Matrix Multiplication. Raphael Yuster Haifa University (Oranim) Uri Zwick Tel Aviv University ESA 2004. Matrix multiplication. j. i. =. ?. Matrix multiplication. Sparse Matrix Multiplication. =. ?. n - number of rows and columns m - number of non-zero elements.

248 views • 18 slides

CPSC 411 Design and Analysis of Algorithms

CPSC 411 Design and Analysis of Algorithms. Set 1: Introduction and Review Prof. Jennifer Welch Spring 2011. Mechanics. http://parasol.cse.tamu.edu/people/welch/teaching/411.s11/ Sources: [CLRS] (textbook) The Algorithm Design Manual , Steven S. Skiena. Introduction.

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Similarity Original Goals

Similarity Original Goals. Comparing shapes using Hu Invariants Comparing shapes using Fourier Descriptors Comparing colours using Histograms Comparing colours using combining Searching in a DB using the comparison algorithm Searching using a simpler and faster algorithm.

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