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Titlebook: Advances in Optimization and Approximation; Ding-Zhu Du,Jie Sun Book 19941st edition Kluwer Academic Publishers 1994 algorithms.Approximat

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G. Isac,V. A. Bulavsky,V. V. Kalashnikovt each iteration the predictor-corrector method requires solving two linear systems, thus making it a two-step quadratically convergent method. In this paper, we propose a variant of the .(√.)-iteration interior point algorthm for linear programming. Unlike the predictor-corrector method, the varian
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G. Isac,V. A. Bulavsky,V. V. Kalashnikove three-dimensional assignment poly tope is linear-time and its complexity is best possible. In [1] and [12], linear-time separation algorithms were given for four classes of facets. In this paper, we introduce a new class of facet-defining inequalities, with coefficients equal to 0 or 1 find right-
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G. Isac,V. A. Bulavsky,V. V. Kalashnikovuadratic programs of box-diagonal form. The algorithm converges to an exact solution in finitely many iterations and can be thought of as an extension of the simplex method for convex programming and the active set method for quadratic programming. Pivoting operations and line searches are used to r
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1571-568X Overview: 978-1-4613-3631-0978-1-4613-3629-7Series ISSN 1571-568X
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