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- W1541877963 abstract "Abstract : Several algorithms for solving problems in linear, quadratic, and nonlinear programming, network flows, and facilities location were developed and analyzed. Results include: (1) The analysis of the computational complexity of the problem of determining an optimally sparse representation of the null space of a matrix, and the development of worst-case bounds for the shadow-vertex simplex algorithm and several heuristics for distance constrained discrete facility location problems and conditional covering problems; (2) The development of efficient algorithms for dense and sparse assignment problems, strictly convex quadratic programming problems, and a nonlinear programming problem that arises when maximizing a correlation coefficient subject to linear constraints; and (3) The application of iterative methods to large sparse equality-constraind quadratic programs and the development of multiple constraint deletion strategies for active-set algorithms for linearly consrained nonlinear programming problems. (Author)" @default.
- W1541877963 created "2016-06-24" @default.
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- W1541877963 date "1983-07-01" @default.
- W1541877963 modified "2023-09-23" @default.
- W1541877963 title "Algorithms for Nonlinear Programming." @default.
- W1541877963 doi "https://doi.org/10.21236/ada130903" @default.
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