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Week 8 : Lecture 38 : Links and Stars.

Welcome to 'July 2019 Game Theory' course ! This lecture introduces the Lemke Howson Algorithm, a combinatorial approach for ...

Week 6: Lecture 11C: Examples of Linear Programming.

Lecture 3: Can we predict if a metal corrodes? (Part-II)

Dynamic Data Assimilation: an introduction by Prof S. Lakshmivarahan,School of Computer Science,University of Oklahoma.

Week 10: Lecture 19B: Wolfe conditions.

Lecture 2 : Introduction to Online Learning –II.

Welcome to 'Introduction to System Dynamics Modeling' course ! This lecture covers modeling non-linear relationships using ...

Week 12: Lecture 45: Application to DTMC.

Dynamic Data Assimilation: an introduction by Prof S. Lakshmivarahan,School of Computer Science,University of Oklahoma.

Week 9: Lecture 17A: Slater condition and Lagrangian Dual.

Week 6: Lecture 12C: Proof of strong duality (continued)

Compiler Design by Prof. Sanjeev K Aggarwal,Department of Computer Science and Engineering,IIT Kanpur.For more details on ...

Welcome to 'July 2019 Game Theory' course ! This lecture introduces another learning dynamic in game theory: Brown von ...

Welcome to 'July 2019 Game Theory' course ! This lecture delves into the concept of security levels (guaranteed minimum payoffs ...

Week 3: Lecture 6C: Least norm solution of underdetermined linear system.

Week 7: Lecture 14B: Proof of complementary slackness.

Week 6: Lecture 11A: Equivalence of extreme point and BFS.

Week 10: Lecture 20A: Steepest descent method and rate of convergence.

Welcome to 'July 2019 Game Theory' course ! This lecture explores properties of saddle point equilibria in zero sum games and ...