'Lexicographic order' diaporamas de présentation

Priority Queues

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Discrete Structure

Discrete Structure. Li Tak Sing( ??? ) Lectures 20-22. Section 4.3.3 Well-founded orders. Well-founded A poset is said to be well-founded if every descending chain of elements is finite. In this case, the partial order is called a well-founded order. Examples of well-founded poset.

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Chapter 3 (Part 1): The Fundamentals: Algorithms, the Integers & Matrices

Chapter 3 (Part 1): The Fundamentals: Algorithms, the Integers & Matrices. Algorithms (Section 3.1) The Growth of Functions (Section 3.2) Complexity of Algorithms (Section 3.3). Algorithms (3.1). Some Applications: Use of number theory to make message secret

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Why Study the Theory of Computation?

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Suffix Trees Come of Age in Bioinformatics

Suffix Trees Come of Age in Bioinformatics. Algorithms, Applications and Implementations Dan Gusfield, U.C. Davis. 1 2 3 4 5 6. AABAAB. S =. Suffix Tree. B. A. A. A. B. $. B. A. 3. $. $. B. A. 5. 6. A. $. 4. B. A. $. A. 2. B.

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Harmonic Bounding ?

Harmonic Bounding ?. Alan Prince,Vieri Samek-Lodovici, Paul Smolensky. Here Comes Everybody. Alternatives . Come in multitudes. But many rankings produce the same optima. Not all constraints conflict Extreme formal symmetry to produce all possible optima Not often encountered ecologically!.

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Construction of Aho Corasick automaton in Linear time for Integer Alphabets

Construction of Aho Corasick automaton in Linear time for Integer Alphabets. Shiri Dori & Gad M. Landau University of Haifa. Overview. Classic Aho Corasick Our algorithm Goto Function Failure Function Combining the two Queries in O(m log| ? |). Set Pattern Matching Problem.

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Load Balancing, Multicast routing, Price of Anarchy and Strong Equilibrium

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8.6 Partial Orderings

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Line Continuation, Output Formatting, and Decision Structures

Line Continuation, Output Formatting, and Decision Structures. CS303E: Elements of Computers and Programming. Line Continuation. What do you do if your line of Python code is too long? Use the line continuation character! the backslash character Place at the very end of the line

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Suffix tree and suffix array techniques for pattern analysis in strings

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New Algorithms for Enumerating All Maximal Cliques

New Algorithms for Enumerating All Maximal Cliques. Kazuhisa Makino Takeaki Uno Osaka University National Institute of JAPAN Informatics, JAPAN 9/Jul/2004 SWAT 2004. Background.

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MA/CSSE 473 Day 13

MA/CSSE 473 Day 13. Finish Topological Sort Permutation Generation. MA/CSSE 473 Day 13. Student Questions Finish Topological Sort Permutation generation. Recap: Topologically sort a DAG. DAG = Directed Aclyclic Graph

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Equivalence Relations. Partial Ordering Relations

Equivalence Relations. Partial Ordering Relations. Equivalence Relation and Partition. Every equivalence relation on S gives rise to a partition of S by taking the family of subsets in the partition to be the equivalence classes of the equivalence relation.

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Chapter 5: Counting

Chapter 5: Counting. Discrete Mathematics and Its Applications. Lingma Acheson (linglu@iupui.edu) Department of Computer and Information Science, IUPUI. 5.1 The Basics of Counting. Basic Counting Principles. Examples

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Overview of NOAA/NESDIS GOES-R Hyperspectral Sounder Data Compression Study

Overview of NOAA/NESDIS GOES-R Hyperspectral Sounder Data Compression Study. Bormin Huang, Allen Huang, Alok Ahuja Cooperative Institute for Meteorological Satellite Studies University of Wisconsin-Madison 4th MURI Workshop, April 27-28. What is hyperspectral sounding data?

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Lecture 2 Theory of A UTOMATA

Lecture 2 Theory of A UTOMATA. Definition: Palindrome. Let us define a new language called Palindrome over the alphabet ? = { a, b } PALINDROME = { ? , and all strings x such that reverse(x) = x } If we want to list the elements in PALINDROME, we find

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Boolean Expressions

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Priority Queues

Priority Queues. A priority queue stores a collection of entries Each entry is a pair (key, value) Main methods of the Priority Queue ADT insert (k, x) inserts an entry with key k and value x removeMin () removes and returns the entry with smallest key. Additional methods

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