'Previous theorem' diaporamas de présentation

Finding Minimum-Cost Circulation By Successive Approximation

Finding Minimum-Cost Circulation By Successive Approximation. Goldberg and Tarjan 1990. Advanced Algorithms Seminar Instructor: Prof. Haim Kaplan Presented by: Michal Segalov & Lior Litwak. Motivation. What is the minimum cost circulation problem?

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Reductions

Reductions. Problem is reduced to problem. If we can solve problem then we can solve problem. Definition:. Language is reduced to language There is a computable function ( reduction ) such that:. Recall:. Computable function : .

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The Geometry of Generalized Hyperbolic Random Field

Yarmouk University Faculty of Science . The Geometry of Generalized Hyperbolic Random Field. Hanadi M. Mansour. Supervisor: Dr. Mohammad AL-Odat. Abstract. Random Field Theory. The Generalized Hyperbolic Random Field. Simulation Study. Conclusions and Future Work. Abstract.

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Discrete Mathematics I Lectures Chapter 4

Discrete Mathematics I Lectures Chapter 4. Some material adapted from lecture notes provided by Dr. Chungsim Han and Dr. Sam Lomonaco. Dr. Adam Anthony Spring 2011. Section 4.1. Elementary Number Theory Basic Proof Technique: Direct Proof. Tying It All Together: Self-Quiz.

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Population Dynamics

Population Dynamics. Katja Goldring , Francesca Grogan, Garren Gaut , Advisor: Cymra Haskell. Iterative Mapping. We iterate over a function starting at an initial x Each iterate is a function of the previous iterate Two types of mappings Autonomous- non-time dependent

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Chapter 5 Properties of Whole Numbers

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Perfect Simulation and Stationarity of a Class of Mobility Models

Perfect Simulation and Stationarity of a Class of Mobility Models. Jean-Yves Le Boudec (EPFL) & Milan Vojnovic (Microsoft Research Cambridge). IEEE Infocom 05, Miami FL, March 2005. Examples. RWP: random waypoint (Johnson and Maltz, 1996). RWP on general connected domain.

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Compiler ( scalac , gcc )

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Chapter 9 Polynomial Functions

Chapter 9 Polynomial Functions. The last functions chapter. Section 9-1 Polynomial Models. A polynomial in x is an expression of the form where n is a nonnegative integer and The degree of the polynomial is n

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UNIT 1B LESSON 8

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Warm Up

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Composition of Functions

Composition of Functions. Lecture 39 Section 7.4 Mon, Apr 9, 2007. Composition of Functions. Given two functions, f : A ? B ? and g : B ? C , where B ? ? B , the composition of f and g is the function g ?? f : A ? C which is defined by ( g ? f )( x ) = g ( f ( x )).

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13.1 Antiderivatives and Indefinite Integrals

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CSI 3104 /Winter 2006: Introduction to Formal Languages Chapter 18: Decidability

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Learning Objectives for Section 13.1 Antiderivatives and Indefinite Integrals

Learning Objectives for Section 13.1 Antiderivatives and Indefinite Integrals. The student will be able to formulate problems involving antiderivatives. The student will be able to use the formulas and properties of antiderivatives and indefinite integrals.

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Perpendicular Lines

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Properties of the gcd

Properties of the gcd. Theorem: For any two integers a,b there exist integers x,y such that xa + yb = gcd(a,b).

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Section 2.4 The Angles of a Triangle

Section 2.4 The Angles of a Triangle. Def: A triangle ( ?) is the union of three segments that are determined by three noncolinear points. Terminology: Vertices: The noncolinear points Sides: Lines connecting the vertices Naming Convention: Named by the three points

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Fundamental Theorems of Calculus

Fundamental Theorems of Calculus. Basic Properties of Integrals Upper and Lower Estimates Intermediate Value Theorem for Integrals First Fundamental Theorem of Calculus Second Fundamental Theorem of Calculus. Basic Properties of Integrals .

314 views • 6 slides