Quasi-newton optimizationCovers gradient line search methods and optimization techniques with an emphasis on Wolfe conditions and positive definiteness.
Optimization MethodsCovers unconstrained and constrained optimization, optimal control, neural networks, and global optimization methods.
Numerical analysisCovers advanced numerical analysis topics including deep neural networks and optimization methods.
Runge Kutta MethodCovers the Runge Kutta method and its application to optimal control and neural networks.
Optimization methodsCovers optimization methods, focusing on gradient methods and line search techniques.
Nonlinear OptimizationCovers line search, Newton's method, BFGS, and conjugate gradient in nonlinear optimization.
Finite Element ModelingCovers the derivation of the equation of motion, interpolation, Newton's equation, and energy conservation in finite element modeling.