Search for tag: "rank"

"Fibonacci, congruent numbers and elliptic curves" - Winston Ko Public Lecture Series

Dr. Kenneth A. Ribet Professor Emeritus Department of Mathematics UC Berkeley The perfect squares (1, 4, 25, 36 and so forth) were studied extensively by Leonardo Fibonacci in his thirteenth…

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MATH168L9

Review of linear algebra in context of solving linear programs.

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mat180-2022-01-14

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2021-10-13: Stable set: Polyhedral combinatorics

Videos and all other materials are copyright 2021 Matthias Köppe and shared as Open Educational Resources subject to the Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)…

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ECS 153, Spring 2021; Discussion Section #4; April 26, 2021

ECS 153 Spring 2021. Computer Security. This is the first discussion section of the week of April 26. The video begins at 2:21 from the beginning.

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LP Polyhedra-Lec12

Dealing with initialization and degeneracy

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LP Polyhedra-Lec10

The simplex method

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'21 WINTER EAS88-HIS 9C PRERECORDED LECTURE #3- THREE KINGDOMS 1.19.21

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2020-12-07: Stable set problem, induced face dimension (MAT 168 Optimization)

Determining the dimension of the face induced by a valid inequality for the stable set problem: Cycle inequality, lifted cycle inequality, clique inequality, edge inequality. notes-2020-12-07.pdfThe…

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2020-11-02: Transportation, min-cost flow problems (MAT 168 Optimization)

Structure of the node-arc incidence matrix, rank deficiency. Generalizing the classic transportation problem to transportation problems with transshipment nodes, and to general (single commodity)…

From  Matthias Koeppe 0 likes 35 plays 0  

2020-10-12: LP dictionaries, basic solutions (MAT 168 Optimization)

Linear optimization problems in standard form. Linear algebra review: Rank of a matrix. Introducing slack variables. Dictionary, basic and nonbasic variables, basic solution. notes-2020-10-12.pdf …

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ESP168a - Video 3.4: Multi Criteria Analysis and Indicators and Indices

Multi Criteria Analysis Evaluation Methods

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BIS180L Lecture14 Networks part2

BIS180L Lecture introducing correlation and mutual rank gene expression networks.

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MADDD-VenkatChandrasekaran

05/12 presentation by Venkat Chandrasekaran (Caltech)Title: Fitting Convex Sets to DataAbstract: A number of problems in signal processing may be viewed conceptually as fitting a convex set to data.…

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Qualtrics for Merits & Promotions Voting - 4. Distribute Survey

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