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Regularized Symmetric Indefinite Systems in Interior Point Methods for Linear and Quadratic OptimizationOptimization Methods and Software, Vol. 11 (1999), pp. 275-302.
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AbstractThis paper presents linear algebra techniques used in the implementation of an interior point method for solving linear programs and convex quadratic programs with linear constraints. New regularization techniques for Newton systems applicable to both symmetric positive definite and symmetric indefinite systems are described. They transform the latter to quasidefinite systems known to be strongly factorizable to a form of Cholesky-like factorization. Two different regularization techniques,...
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