A method of feasible directions using function approximations, with applications to min max problems.
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Klessig, R.↗
Engineering topics
Publications and source records attributed to Klessig, R..
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This paper presents a gradient algorithm for unconstrained optimal control problems. The algorithm is stated in terms of numerical integration formulas, the precision of which is controlled adaptively by a test that ensures convergence. Empirical results show that this algorithm is considerably faster than its fixed precision counterpart.-
Polak-Ribiere conjugate gradient algorithm modifications to eliminate minimization at each iteration for efficient implementation with convergence