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Duality Theory is a powerful and widely used tool in applied mathematics for several reasons: -The dual problem is always convex ...

How do you turn a word problem into a mathematical function? In this video, we tackle a classic optimization problem: expressing ...

Private coding lessons, first lesson is free! - WhatsApp: https://wa.me/message/6KCOANOVW6MII1 or +48 730 081 874 - Mail: ...

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I solve a complete linear programming problem using the graphical method. PROBLEM OVERVIEW: A furniture company ...

The Core Constraints: Discover why flow is a global optimization problem governed by two rules: flow cannot exceed capacity, ...

Enhancement MIP Benders Coordinators The basic alternatives to speed up BT.'s behavior are: Modified Optimality Cuts: To ...

Time: October 1, 2025 Speaker: Jiawei Zhang (UW-Madison) Abstract: It is well known that for nonconvex unconstrained ...

Numerical optimization methods are the workhorses of quantitative trading - when you can't solve problems analytically, you solve ...

Why do so many real-world problems feel hard in the *same* way? In this mini-lecture, we explore the famous P vs NP question ...

Benders Decomposition Using Graph Modeling and Multi-Parametric Programming Benders Decomposition, BD, is a widely used ...

Convex optimization is the holy grail of optimization - problems where any local optimum is guaranteed to be a global optimum.

Due to major advances in algorithms for solving combinatorial optimization problems, these solvers can tackle real-world ...

In this video, we build optimization in machine learning from first principles and develop a deep intuition for gradient descent.

Inspired by the foraging behavior of ants, ACO is a powerful metaheuristic used for solving complex optimization problems.

In this video, we break down the logic behind score optimization problems. We'll explore why greedy approaches fail and how a ...

I'm an Ex-cosmologist turned data scientist with 20 years experience in solving challenging problems. I am motivated by ...

Benders Decomposition Using Graph Modeling and Multi-Parametric Programming Benders Decomposition, BD, is a widely used ...

What You'll Learn: What multi-objective optimization problems are Pareto optimality and Pareto frontiers Dominated vs ...

... Theorem | Optimization Problems | Related Rates Problems | Curve Sketching Using Derivatives | Differentiation in Physics and ...