In this paper we present a trust region method of conic model for linearly constrained optimization problems. We discuss trust region approaches with conic model subproblems. Some equivalent variation ...

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

SIAM Journal on Numerical Analysis, Vol. 22, No. 3 (Jun., 1985), pp. 575-591 (17 pages) In unconstrained minimization, trust region algorithms use directions that are a combination of the quasi-Newton ...

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 ...

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