Successive approximation by quadratic fitting as applied to optimization problems
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An investigation of a technique of solving optimization problems by expanding the original functional about an approximating function to obtain a quadratic function, which can then be solved exactly using dynamic programming. Applications and numerical results are given for a one-dimensional example, a two-point problem, and approximations over a grid of points. 32 pp.
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