CONVERGENCE OF SOME GRADIENT-LIKE METHODS FOR CONSTRAINED MINIMIZATION.
WISCONSIN UNIV MADISON DEPT OF COMPUTER SCIENCES
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Some step-length algorithms are analyzed and convergence proved for a general class of feasible direction algorithms for constrained minimization. Applications are given to the conditional gradient and variable metric projected gradient methods. Author
- Operations Research