Concept
Boundary layer
Related lectures (344)
Optimization with Constraints: KKT Conditions
Covers optimization with constraints using KKT conditions and matrix invertibility in numerical analysis.
Flow Instabilities: Understanding Unstable Flows
Explores various flow instabilities, methods to solve the Rayleigh equation, and the influence of viscosity on Kelvin-Helmholtz instability.
Nonlinear Optimization
Covers line search, Newton's method, BFGS, and conjugate gradient in nonlinear optimization.
Convergence of the method
Covers the convergence of the method and the importance of adapting time steps for accurate approximations.
Numerical methods: runge-kutta
Covers the Runge-Kutta method and its variations, discussing error minimization and stability in non-linear systems.
Quasi-newton optimization
Covers gradient line search methods and optimization techniques with an emphasis on Wolfe conditions and positive definiteness.
Optimal Control: Unconstrained and Constrained Problems
Explores optimal control in unconstrained and constrained problems, emphasizing the importance of sparsity.
Optimization with Constraints
Covers the optimization with constraints and the KKT theorem.
Symmetry Operations in Quantum Mechanics
Explores symmetry operations in quantum mechanics, emphasizing the preservation of state properties.
Optimization Methods
Covers unconstrained and constrained optimization, optimal control, neural networks, and global optimization methods.