Linear Programming in Python

Optimization deals with selecting the best option among a number of possible choices that are feasible or don't violate constraints. Python can be used to optimize parameters in a model to best fit data, increase profitability of a potential engineering design, or meet some other type of objective that can be described mathematically with variables and equations.
Mathematical optimization problems may include equality constraints, inequality constraints, objective functions, algebraic equations, differential equations, continuous variables, discrete or integer variables, etc.

[aashishaashish]

Landed on your video second time in same day with generic google search. You must be real good :)

[akankshaaggarwal]

The code provided for 'Method 2b: Dense Matrices (Gekko)' gives incorrect results. This is because the matrix A = [[3, 6], [8, 4]] has not been defined properly. It should be A = [[3, 8], [6, 4]].

[leilaazzoune]

Hello, great video😁
What about artificial constraint methods with python, i need help I'm stuck with it

[sofiag]

How can we fill the feasible region on contour plot with python?

[upifnzh]

Hey is there any method by which we can print all corner points in LPP?

[daniel.mhmudi]

how can i add gekko library in vscode?