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pro vyhledávání: '"Janet E. Rogers"'
Publikováno v:
Annals of Operations Research. 62:419-437
In this paper, we present an interior point algorithm for solving both convex and nonconvex quadratic programs. The method, which is an extension of our interior point work on linear programming problems efficiently solves a wide class of largescale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::593c6eb0bb07e7e01d903f6e977b69c2
https://doi.org/10.1007/bf02206825
https://doi.org/10.1007/bf02206825
Publikováno v:
Linear Algebra and its Applications. 152:315-342
Interior-point algorithms for solving linear programming problems are considered. A three-dimensional method is developed that, at each iteration, solves a subproblem based on minimizing the cost function on low-dimensional cross sections of the feas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce591d6f31524ceb22d98565690ce774
Autor:
Paul T. Boggs, Janet E. Rogers
Publikováno v:
Statistical Analysis of Measurement Error Models and Applications. :183-194
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ef8d53d48f15c617629e268ba3fe1cc
https://doi.org/10.1090/conm/112/1087109
https://doi.org/10.1090/conm/112/1087109
Conference
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