Keyword: Scientific computing, continuous, unconstrained, constrained optimization, with Matlab and Julia
This webpage is for SUPAERO's MAE Students. This cheatsheet is really helpfull https://cheatsheets.quantecon.org
Nice blog, really helpful: https://nhigham.com/category/what-is/
Let's start with SVD exercice
What about Gradient, Jacobian and Hessian ?
Have a look to some functions (2D) and saddle points, max or min (local)
On a simple unconstrained problem with descent direction and newton
https://github.com/JuliaLang/IJulia.jl
https://mitmath.github.io/1806/
https://docs.julialang.org/en/v1/stdlib/Pkg/index.html