Constraint (mathematics)

Related lectures (32)

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Explores optimization with inequality constraints, emphasizing finding extreme values and stationary points.

Explores extremum of a function under constraints and finding candidate points in practice.

Introduces linear programming, optimization, and duality concepts with a focus on the simplex method and practical examples.

Covers necessary optimality conditions for optimization with constraints and discusses cones and polar sets.

Covers linear constraints in standard form, including equality constraints, rank, and redundant constraints.

Covers the simplex algorithm applied to the simple case of inequality constraints.

Covers the concept of hedging for Linear Programs and the simplex method, focusing on minimizing costs and finding optimal solutions.

Covers an optimization framework with inequality constraints and Karush-Kahn Tucker conditions.

Covers variational methods, equilibrium shape of a bent beam, Euler's Elastica, and numerical and analytical methods.

Explores optimization methods in engineering, covering decision variables, constraints, and various solving techniques.