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-65%Optimization Theory for Large Systems—
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Important text examines most significant algorithms for optimizing large systems and clarifying relations between optimization procedures. Much data appear as charts and graphs and will be highly valuable to readers in selecting a method and estimating computer time and cost in problem-solving. Initial chapter on linear and nonlinear programming presents all necessary background for subjects covered in rest of book. Second chapter illustrates how large-scale mathematical programs arise from real-world problems. Appendixes. List of Symbols.
Reprint of the Macmillan Company, New York, 1970 edition.
advanced mathematics; game theory; applied science and math; scientific exploration; significant algorithms; optimizing systems; clarifying relations between optimized procedures; selecting methods; estimating computer time; cost in problem solving; linear and nonlinear programming; large scale mathematical programs; real world problems; nonlinear programming; clarifying relations; advanced undergraduate studies; graduate level; college math; Optimization Theory; Large Systems; Linear and Nonlinear Programming; Dantzig-Wolfe Decomposition; Partition ProceduresDescription
Important text examines most significant algorithms for optimizing large systems and clarifying relations between optimization procedures. Much data appear as charts and graphs and will be highly valuable to readers in selecting a method and estimating computer time and cost in problem-solving. Initial chapter on linear and nonlinear programming presents all necessary background for subjects covered in rest of book. Second chapter illustrates how large-scale mathematical programs arise from real-world problems. Appendixes. List of Symbols.
Reprint of the Macmillan Company, New York, 1970 edition.
advanced mathematics; game theory; applied science and math; scientific exploration; significant algorithms; optimizing systems; clarifying relations between optimized procedures; selecting methods; estimating computer time; cost in problem solving; linear and nonlinear programming; large scale mathematical programs; real world problems; nonlinear programming; clarifying relations; advanced undergraduate studies; graduate level; college math; Optimization Theory; Large Systems; Linear and Nonlinear Programming; Dantzig-Wolfe Decomposition; Partition Procedures
