Lecture
Optimization Problems
Related lectures (31)
Stationary Points and Saddle Points
Explores stationary points, saddle points, symmetric matrices, and orthogonal properties in optimization.
Optimization with Inequalities
Explores optimization with inequality constraints, emphasizing finding extreme values and stationary points.
Directional Derivatives
Explores directional derivatives in two-variable functions and extremum points.
Optimization with Constraints: KKT Conditions
Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.
Extreme Values and Optimization
Covers extreme values, optimization conditions, feasible sets, and partition formation for optimization.
Local Extrema of Multivariable Functions
Revisits local and absolute extrema of multivariable functions, discussing their properties and identification conditions.
Extrema lies: terminology and examples
Explores the terminology of extrema lies and optimization problems with constraints.
Optimisation in Energy Systems
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Efficient GPU Join Optimization
Discusses efficient GPU-accelerated join optimization for complex queries, aiming to improve optimization times and heuristic plan quality.
Simulation & Optimization: Poisson Process & Random Numbers
Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.