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Chapter 9: Geometric Selection Theorems 11/01/2013

Chapter 9: Geometric Selection Theorems 11/01/2013

Chapter 9: Geometric Selection Theorems 11/01/2013. 9.1 A Point in Many Simplices: The 1 st Selection Lemma. definition.

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696 views • 63 slides
tree -decomposition

tree -decomposition

tree -decomposition. ? 5499016 ????? ? 5499023 ????. contents. 1,Introduction 2,Main Algorithm 3,yfiles 4,Construction of Tree-Decomposition 5,Analysis of Algorithm 6,From now on Target. Introduction. ~Purpose~. INPUT : G = (V,E). Output : Tree-decomposition ( T , X ). ?. ?.

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Chapter 9 Graphs

Chapter 9 Graphs

Chapter 9 Graphs. Simple Graph. A simple graph consists of a nonempty set of vertices (nodes) called V a set of edges (unordered pairs of distinct elements of ( V ) called E Notation: G = ( V , E ). Detroit. New York. San Francisco. Chicago. Denver. Washington. Los Angeles.

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Lecture 23 Greedy Strategy

Lecture 23 Greedy Strategy

Lecture 23 Greedy Strategy. What is a submodular function?. Consider a function f on all subsets of a set E . f is submodular if. Set-Cover.

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Some Definitions from 9.4

Some Definitions from 9.4

Some Definitions from 9.4.

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Chapters 10.1 and 10.2 Based on slides by Y. Peng University of Maryland

Chapters 10.1 and 10.2 Based on slides by Y. Peng University of Maryland

Chapters 10.1 and 10.2 Based on slides by Y. Peng University of Maryland. Graphs. Introduction to Graphs. Definition: A simple graph G = (V, E) consists of V, a nonempty set of vertices, and E, a set of unordered pairs of distinct elements of V called edges.

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301 views • 30 slides
Chapters 10.1 and 10.2 Based on slides by Y. Peng University of Maryland

Chapters 10.1 and 10.2 Based on slides by Y. Peng University of Maryland

Chapters 10.1 and 10.2 Based on slides by Y. Peng University of Maryland. Graphs. Introduction to Graphs. Definition: A simple graph G = (V, E) consists of V, a nonempty set of vertices, and E, a set of unordered pairs of distinct elements of V called edges.

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387 views • 28 slides
Chapters 10.1 and 10.2 Based on slides by Y. Peng University of Maryland

Chapters 10.1 and 10.2 Based on slides by Y. Peng University of Maryland

Chapters 10.1 and 10.2 Based on slides by Y. Peng University of Maryland. Graphs. Introduction to Graphs. Definition: A simple graph G = (V, E) consists of V, a nonempty set of vertices, and E, a set of unordered pairs of distinct elements of V called edges.

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285 views • 28 slides
Chapters 9.1 and 9.2 Based on slides by Y. Peng University of Maryland

Chapters 9.1 and 9.2 Based on slides by Y. Peng University of Maryland

Chapters 9.1 and 9.2 Based on slides by Y. Peng University of Maryland. Graphs. Introduction to Graphs. Definition: A simple graph G = (V, E) consists of V, a nonempty set of vertices, and E, a set of unordered pairs of distinct elements of V called edges.

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361 views • 25 slides
Chapters 9.1 and 9.2 Based on slides by Y. Peng University of Maryland

Chapters 9.1 and 9.2 Based on slides by Y. Peng University of Maryland

Chapters 9.1 and 9.2 Based on slides by Y. Peng University of Maryland. Graphs. Introduction to Graphs. Definition: A simple graph G = (V, E) consists of V, a nonempty set of vertices, and E, a set of unordered pairs of distinct elements of V called edges.

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255 views • 25 slides
Bart Jansen Vertex Cover Kernelization Revisited: Upper and Lower Bounds for a Refined Parameter

Bart Jansen Vertex Cover Kernelization Revisited: Upper and Lower Bounds for a Refined Parameter

Bart Jansen Vertex Cover Kernelization Revisited: Upper and Lower Bounds for a Refined Parameter. Joint work with Hans Bodlaender. STACS 2011, Dortmund March 10 th , 2011. Vertex Cover. Input: Graph G, integer k Question: Does G have a vertex cover of size ? k?.

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337 views • 24 slides
Joint work with Hans Bodlaender

Joint work with Hans Bodlaender

Bart Jansen Vertex Cover Kernelization Revisited: Upper and Lower Bounds for a Refined Parameter. Joint work with Hans Bodlaender. STACS 2011, Dortmund March 10 th , 2011. Vertex Cover. Input: Graph G, integer k Question: Does G have a vertex cover of size ? k?.

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332 views • 24 slides
???? Treedecomposition ??????????????????????????????

???? Treedecomposition ??????????????????????????????

???? Treedecomposition ??????????????????????????????. ????????. ??. Tree decomposition ??????? Tree decomposition ??????????????????????? ????????. Tree decomposition ???. ??? G=(V,E) ?????? T ? V ? G) ????? ??? X= ? X i |i ?V(T)} ??? T,X) ?????. ? ? ?????? ??????. ??. ? ?. ?. ? ?.

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349 views • 24 slides
Group 11,Part three, # 40

Group 11,Part three, # 40

Group 11,Part three, # 40. Omar Monroy Bianca Orozco Jeffrey Martinez. Definition:. v2.

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