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MIT 18.200 Principles of Discrete Applied Mathematics, Spring 2024 Instructor: Peter Shor View the complete course: ...

This video explains the Assignment Problem, with Linear Programming formulation (to minimize costs or maximize efficiency), with ...

In this lecture: Using integer decision variables to incorporate piecewise-linear objective functions. Best viewed with 1080p ...

How should you position drones to optimally watch dozens of targets? The video shows 50 points, each with a required number of ...

In this lecture: Using integer programs to model covering, fixed-charge and either-or problems. Best viewed with 1080p resolution ...

In this lecture: What we mean by formulating a linear program; Excel's optimization solver. Best viewed with 1080p resolution and ...

In this lecture: A geometric method for solving linear programs. Best viewed with 1080p resolution and in full screen. == I regularly ...

In this lecture: Branch-and-bound method. Best viewed with 1080p resolution and in full screen. At 36:22, the optimal solution to ...

In this lecture: Linear programs with "less than or equal to", "greater than or equal to" and "equal to" constraints, as well as ...

In this lecture: Developing the simplex method from first principles. Best viewed with 1080p resolution and in full screen.

Bernardo Subercaseaux (CMU) https://simons.berkeley.edu/talks/bernardo-subercaseaux-cmu-2025-04-08 Simons Institute for ...

... longer unique) ✓ Using Mixed-Integer Programming (MIP) to test necessity of each clue ✓ How randomization ensures varied, ...

In this lecture: Economic interpretation of the dual problem to understand the value of a resource in a linear program. Best viewed ...

In this lecture: Linear algebra concepts useful for linear programming; inverting a matrix through row operations. Best viewed with ...

The fact that we can capture all the supply chain complexity in a linear equations is the reason why linear programming (#LP) and ...

Andrea Lodi (Cornell Tech) https://simons.berkeley.edu/talks/andrea-lodi-cornell-tech-2025-08-14 Graph Learning Meets ...

So that is the problem that we will be solving or formulating today, okay? So we will formulate this linear, programming problem.

Big M Method for LPP | Big M simplex method | Linear programming problem | LPP | 2025 | Query- Big M method in linear ...

In this lecture: Optimization under uncertainty over a scenario tree by using the linear programming framework. Best viewed with ...

In this lecture: Capacitated and uncapacitated facility location problem; dynamic driver assignment problem. Best viewed with ...

Lean 4 proof of the Rupert property for the triakis tetrahedron. Lean code: https://github.com/dwrensha/Rupert.lean Music: ...

OR Lecture 22 Aug 25.

Discover how enterprise-level optimization really works — from theory to large-scale, real-time impact. In this episode of the ...

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In this lecture: Viewing the assignment, shortest path and max-flow problems as special cases of the min-cost flow problem.