# Computational Optimization

Here is the outline for the notes:

[Basics](https://muhans-notebook.gitbook.io/computational-optimization/basics)

[QR Factorization](https://muhans-notebook.gitbook.io/computational-optimization/qr-factorization)

[Regularization](https://muhans-notebook.gitbook.io/computational-optimization/regularization)

[Gradients](https://muhans-notebook.gitbook.io/computational-optimization/gradients)

[Nonlinear Least-Squares](https://muhans-notebook.gitbook.io/computational-optimization/nonlinear-least-squares)

[Gradient Descent](https://muhans-notebook.gitbook.io/computational-optimization/gradient-descent)

[Descent Methods](https://muhans-notebook.gitbook.io/computational-optimization/descent-methods)

[Scaled Descent](https://muhans-notebook.gitbook.io/computational-optimization/scaled-descent)

[Cholesky Factorization](https://muhans-notebook.gitbook.io/computational-optimization/cholesky-factorization)

[Linear Constraints](https://muhans-notebook.gitbook.io/computational-optimization/linear-constraints)

[Convex Set](https://muhans-notebook.gitbook.io/computational-optimization/convex-set)

[Convex Functions](https://muhans-notebook.gitbook.io/computational-optimization/convex-functions)

[Global Optimal of Convex Optimization](https://muhans-notebook.gitbook.io/computational-optimization/global-optimal-of-convex-optimization)

[Optimality for Convex Optimization](https://muhans-notebook.gitbook.io/computational-optimization/optimality-for-convex-optimization)

[Projection Onto Convex Sets](https://muhans-notebook.gitbook.io/computational-optimization/projection-onto-convex-sets)

[Stochastic Gradient Descent (SGD)](https://muhans-notebook.gitbook.io/computational-optimization/stochastic-gradient-descent-sgd)