Methods of optimization

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Wiley, Jan 1, 1975 - Mathematics - 200 pages
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Nonlinear programming. Kuhn-tucker necessary conditions. Saddle-point property of the lagrangian functions. The constraint qualification. Search methods for unconstrained optimization. Grild search. Hooke and jeeves' method. Spendley, hext and himsworth's method. Nelder and mead's method. Gradient methods for unconstrained optimization. Method of steepest descent. The newton-raphson method. The davidon-fletcher-powell method. Constrained optimization. Hemstitching. The gradient projection method. Penalty functions. Dynamic programming The allocation problem. Oriented networks. The farmer's problem.

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Contents

Introduction
1
Nonlinear Programming
35
Search Methods for Unconstrained Optimization
74
Copyright

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