'Lower bounds' diaporamas de présentation

Outline

Outline. Leader and MaxF for two processors. Theorem For the two processor network, Bit C(Leader) = Bit C( MaxF ) = 2[log 2 ((M + 2)/3.5)] and Bit C t (Leader) = Bit C t ( MaxF ) = 2[log 2 ((M + 1)/3)].

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Programming with Microsoft Visual Basic 2008 Fourth Edition

Programming with Microsoft Visual Basic 2008 Fourth Edition. Chapter Five More on the Selection Structure. Previewing the Math Practice Application. Open Math.exe file The Math Practice application will be used by 1 st and 2 nd grade students .

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Content-Based Image Retrieval

Content-Based Image Retrieval. Queries Commercial Systems Retrieval Features Indexing in the FIDS System Lead-in to Object Recognition. Content-based Image Retrieval (CBIR). Searching a large database for images that match a query: What kinds of databases? What kinds of queries?

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Maximum flow

Maximum flow. Network Algorithms 2005. Today. Maximum flow problem Applications Briefly: Ford-Fulkerson; min cut max flow theorem Preflow push algorithm Lift to front algorithm Variants. Problem. Variants in notation, e.g.: Write f(u,v) = -f(v,u). Directed graph G=( V,E )

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??????????????? Consider quantity discounts for joint replenishment problem

??????????????? Consider quantity discounts for joint replenishment problem. ??? : ??? ???? : ??? ??. Reporting process. Joint replenishment problem. The joint replenishment objective adjusts to the replenishment cycle between different products to avoid additional ordering costs.

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Zeros of Polynomial Functions

Zeros of Polynomial Functions. Advanced Math Section 3.4. Number of zeros. Any nth degree polynomial can have at most n real zeros Using complex numbers, every nth degree polynomial has precisely n zeros (real or imaginary). Fundamental Theorem of Algebra.

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Algorithms vs. Circuit Lower Bounds

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Quantification Using the SPAR-H HRA Method: A Simple Exercise

Quantification Using the SPAR-H HRA Method: A Simple Exercise. Ronald Laurids Boring, PhD Human Factors Scientist , Idaho National Laboratory Visiting Scientist , Halden Reactor Project Vinh Dang, PhD Head, Risk and Reliability Group Paul Scherrer Institute. Three Mile Island.

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Algorithms analysis and design

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8.6 Partial Orderings

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Algebraic P versus NP Lower Bounds and PIT

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Hawkes Learning Systems: College Algebra

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CSCI 3160 Design and Analysis of Algorithms Tutorial 6

CSCI 3160 Design and Analysis of Algorithms Tutorial 6. Fei Chen. Outline. Linear Programming Standard form Problem modeling Algorithm Duality Application. Linear Programming. Constraint Optimization Linear constraints Linear objective function Example. max. x 1 + 2x 2 + 3x 3.

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Adversary Arguments

Adversary Arguments. A method for obtaining lower bounds. What is an Adversary?. A Second Algorithm Which Intercepts Access to Data Structures Constructs the input data only as needed Attempts to make original algorithm work as hard as possible Analyze Adversary to obtain lower bound.

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Mathemagic : what happens at the intersection between magic and Math?

Mathemagic : what happens at the intersection between magic and Math?. Talk by: Kush Fanikiso Email: kf2@williams.edu Advised by: Professor Steven J. Miller. Key ideas. The mathematical basis of the trick is that for most orderings of the deck most secret numbers produce the same final key.

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Asymptotes: Why?

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Limits of Accuracy

Limits of Accuracy. What are they?. Any measurement we make is rounded to some degree of accuracy or other Nearest metre Nearest litre The degree of rounding gives the possible values of the measurement before rounding. For example. 77.

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Maurice Kugler HDRO

Maurice Kugler HDRO. 2 nd Conference on Measuring Human Progress 4-5 March 2013, New York. 2010 ADJUSTMENTS OF THE HDI The same dimensions but New indicators: Expected years of schooling, Mean years of schooling Gross national income New functional form Geometric mean

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