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Nonlinear OptimizationCovers line search, Newton's method, BFGS, and conjugate gradient in nonlinear optimization.
Quasi-newton optimizationCovers gradient line search methods and optimization techniques with an emphasis on Wolfe conditions and positive definiteness.
Convergence of the methodCovers the convergence of the method and the importance of adapting time steps for accurate approximations.
Optimization MethodsCovers optimization methods without constraints, including gradient and line search in the quadratic case.
Matrix CalculusCovers the definition and basic operations of matrices, including addition, scalar multiplication, and matrix multiplication.
Optimization MethodsCovers unconstrained and constrained optimization, optimal control, neural networks, and global optimization methods.
Matrix CalculusCovers matrix calculus, including determinants, matrix inversion, and solutions to systems of linear equations.