ViewTube

Optimization Methods for Machine Learning and Engineering (KIT Winter Term 20/21) Slides and errata are available here: ...

Multiobjective optimization is somewhat of a misnomer -- you actually have to have predefined weightings for each of the ...

Optimization Methods for Machine Learning and Engineering (KIT Winter Term 20/21) Slides and errata are available here: ...

Introduction to Linear Programming, Examples from Graphical Solution and Simultaneous Equations.

In OpenMDAO terms, your nonlinear system is your model or governing system of equations. Your linear system is a ...

Show an introduction to sensitivity analysis using the matrix form of the simplex method.

Optimization Methods for Machine Learning and Engineering (KIT Winter Term 20/21) Slides and errata are available here: ...

Solving Linear Programming Problem : Graphical Method - Minimization Problem.

Right here I'm going to show how to compute the solution to a linear programming problem using excels solver and so linear ...

This video demonstrates the usage of Python package PuLP with Linear Programming Problem (LPP). You can also watch the ...

Linear programming (LP, also called linear optimization) is a method to achieve the best outcome (such as maximum profit or ...

This video demonstrates the usage of Excel Solver Add-in for solving Linear Programming Programming Problem. The problem ...

Introduction to Linear Programming.

Introduction to inequality-constrained optimization within a course on "Optimal and robust control" (B3M35ORR, BE3M35ORR) ...

I discuss one of the two standard formulations of the shortest path problem as a linear program. There is a counter-intuitive aspect, ...

Dynamic Programming : Solving Linear Programming Problem.

Here are two examples of linear programming problems. This one here is a minimization problem and this one here is a ...

This example is taken from Versatile Mathematics, an OER textbook created at Frederick Community College. The book can be ...