C
Carmen Castillo
Researcher at University of Castilla–La Mancha
Publications - 40
Citations - 708
Carmen Castillo is an academic researcher from University of Castilla–La Mancha. The author has contributed to research in topics: Optimization problem & Sensitivity (control systems). The author has an hindex of 13, co-authored 40 publications receiving 631 citations. Previous affiliations of Carmen Castillo include University of Granada & University of Cantabria.
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Sensitivity analysis in optimization and reliability problems
TL;DR: The paper starts giving the main results that allow a sensitivity analysis to be performed in a general optimization problem, including sensitivities of the objective function, the primal and the dual variables with respect to data.
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Perturbation approach to sensitivity analysis in mathematical programming
TL;DR: In this article, a perturbation approach for performing sensitivity analysis of mathematical programming problems is presented, where the active constraints are not assumed to remain active if the problem data are perturbed, nor the partial derivatives are assumed to exist.
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A closed formula for local sensitivity analysis in mathematical programming
TL;DR: In this paper, a method for local sensitivity analysis based on the duality property of mathematical programming is presented. But the method is restricted to nonlinear programming problems and does not cover nonlinear problems with right-hand side parameters.
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An optimal engineering design method with failure rate constraints and sensitivity analysis. Application to composite breakwaters
TL;DR: A new approach to composite breakwater design based on minimizing initial/construction costs subject to yearly failure rate bounds for all failure modes is introduced, and a technique for sensitivity analysis is presented.
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An Orthogonally Based Pivoting Transformation of Matrices and Some Applications
TL;DR: The meaning of each sequential tableau appearing during the pivoting process is interpreted and it is shown that each tableau of the process corresponds to the inverse of a row modified matrix and contains the generators of the linear subspace orthogonal to a set of vectors and its complement.