Operations Research · 1967 · 69 citations · 3 references
Natural SciencesComputer ScienceMathematicsAlgorithmic DesignAlgorithmsOptimizationDiscrete OptimizationInteger ProgrammingLinear ProgrammingMathematical ProgrammingOptimization TheoryQuadratic ProgrammingSemidefinite Programming
This paper presents a simplex algorithm for finding a nonnegative solution (or demonstrating the inconsistency) of y = a + Ax where A is positive semi-definite. Linear and quadratic programming problems are of this form. The function exhibited in the proof of finiteness does not appear in other algorithms. If a primal feasible solution is available in the linear programming case, the actual choice of pivot rows is exactly that made in the usual lexicographic simplex method.
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The Simplex Method for Quadratic Programming
Philip Wolfe · Econometrica · 1960 · 510 citations