Description: Basics of numerical optimization: problem formulation, conditions of optimality, search direction and step length. Calculus-based techniques for univariate and multivariate optimization.

Studies linear and nonlinear programming, the simplex method, duality, sensitivity, transportation and network flow problems, some constrained and unconstrained optimization theory, and the ...

Constrained quantization for a Borel probability measure refers to the idea of estimating a given probability by a discrete probability with a finite number of supporting points lying on a specific ...

This is a preview. Log in through your library . Abstract We propose a new algorithm for the nonlinear inequality constrained minimization problem, and prove that it generates a sequence converging to ...

This course is compulsory on the Master of Public Administration. This course is not available as an outside option. Also available to other MPhil/PhD students with the agreement of the course tutor.

This is a preview. Log in through your library . Abstract The trust region approach has been extended to solving nonlinear constrained optimization. Most of these extensions consider only equality ...