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The document discusses non-linear programming, focusing on indirect methods for multi-variable unconstrained optimization, particularly the Steepest Descent (Cauchy) method, which iteratively finds an optimum point using function derivatives. It also introduces the Frank-Wolf method for linearly constrained problems and outlines direct methods of constrained optimization, including the Generalized Reduced Gradient (GRG) method. Various convergence criteria and examples are provided to illustrate these optim

Author

w.mohammadtalaat

Language

EN