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Lecture 4 Balanced Binary Search Trees 6 006 Spring 2008 Lecture 4: Note 1 Skip Lists and Treaps use random numbers to make decisions fast with high
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Supplemental reading in CLRS: Section 9 3; Chapter 1; Sections 4 3 and 4 5 1 1 The Course Hello, and welcome to 6 046 Design and Analysis of Algorithms
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MIT OpenCourseWare http://ocw mit edu 6 046J / 18 410J Design and Analysis of Algorithms Spring 2015 For information about citing these materials or our
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Lecture 1 Introduction and Document Distance 6 006 Spring 2008 Lecture 1: Introduction and Classic data structures and elementary algorithms (CLRS text)
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http://ocw mit edu 6 006 Introduction to Algorithms Fall 2011 For information about citing these materials or our Terms of Use, visit: http://ocw mit edu/terms
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Lecture 17: Approximation Algorithms • Definitions • Vertex Cover • Set Cover • Partition Approximation Algorithms and Schemes Let Copt be the cost of the
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Recall from Lecture 13 Algorithm: f [u, v] ← 0 for all u, v ∈ V while an augmenting path p in G wrt f See additional notes for L14 for Baseball For information about citing these materials or our Terms of Use, visit: http://ocw mit edu/terms
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Lecture Overview • Review • Shortest paths in DAGs • Shortest paths in graphs without negative edges • Dijkstra's Algorithm Readings CLRS, Sections 24 2-
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Lecture 9 Hashing II 6 006 Fall 2011 Lecture 9: Hashing II Lecture Overview Figure 3: Illustration of Simple Algorithm for the String Matching Problem
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Lecture 18: Fixed-Parameter Algorithms Fixed Parameter Algorithms are an alternative way to deal with NP-hard Note that we can have k
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