Quasi-newton optimizationCovers gradient line search methods and optimization techniques with an emphasis on Wolfe conditions and positive definiteness.
Optimization BasicsIntroduces optimization basics, covering logistic regression, derivatives, convex functions, gradient descent, and second-order methods.
Nonlinear OptimizationCovers line search, Newton's method, BFGS, and conjugate gradient in nonlinear optimization.
