Constraint (mathematics)

Related lectures (32)

Page 3 of 4

Covers the basics of linear optimization, including equations, polyhedrons, feasible directions, and optimal solutions.

Explores the cutset formulation for the MST Problem and Gomory Cutting Planes method.

Discusses gradient descent for optimization with equality constraints and iterative convergence criteria.

Covers the application of optimal control in parameter identification and the trade-off between the model and measurements.

Explores linear programming duality, covering constraints, variables, solutions, and the relationship between primal and dual LP.

Explores solving strategies for energy system optimization problems and different types of optimization approaches.

Explores finding the initial Basic Feasible Solution (BFS) in a linear program.

Covers the theory and applications of optimization with constraints, including key concepts and numerical methods.

Explores optimization on convex sets, including KKT points and tangent cones.

Explores the theory of constraints in molecular dynamics simulations, including the SHAKE algorithm.