> For the complete documentation index, see [llms.txt](https://muhans-notebook.gitbook.io/computational-optimization/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://muhans-notebook.gitbook.io/computational-optimization/computational-optimization.md).

# Computational Optimization

Here is the outline for the notes:

[Basics](/computational-optimization/basics.md)

[QR Factorization](/computational-optimization/qr-factorization.md)

[Regularization](/computational-optimization/regularization.md)

[Gradients](/computational-optimization/gradients.md)

[Nonlinear Least-Squares](/computational-optimization/nonlinear-least-squares.md)

[Gradient Descent](/computational-optimization/gradient-descent.md)

[Descent Methods](/computational-optimization/descent-methods.md)

[Scaled Descent](/computational-optimization/scaled-descent.md)

[Cholesky Factorization](/computational-optimization/cholesky-factorization.md)

[Linear Constraints](/computational-optimization/linear-constraints.md)

[Convex Set](/computational-optimization/convex-set.md)

[Convex Functions](/computational-optimization/convex-functions.md)

[Global Optimal of Convex Optimization](/computational-optimization/global-optimal-of-convex-optimization.md)

[Optimality for Convex Optimization](/computational-optimization/optimality-for-convex-optimization.md)

[Projection Onto Convex Sets](/computational-optimization/projection-onto-convex-sets.md)

[Stochastic Gradient Descent (SGD)](/computational-optimization/stochastic-gradient-descent-sgd.md)