Successive parabolic interpolation is a technique for finding the extremum (minimum or maximum) of a continuous unimodal function by successively fitting parabolas (polynomials of degree two) to a function of one variable at three unique points or, in general, a function of n variables at 1+n(n+3)/2 points, and at each iteration replacing the "oldest" point with the extremum of the fitted parabola.
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Successiveparabolicinterpolation is a technique for finding the extremum (minimum or maximum) of a continuous unimodal function by successively fitting...
Interpolating f instead of the inverse of f gives Muller's method. Successiveparabolicinterpolation is a related method that uses parabolas to find extrema rather...
point of view, Dijkstra's algorithm for the shortest path problem is a successive approximation scheme that solves the dynamic programming functional equation...
Successive Linear Programming (SLP), also known as Sequential Linear Programming, is an optimization technique for approximately solving nonlinear optimization...
Univariate optimization: Golden section search Successiveparabolicinterpolation — based on quadratic interpolation through the last three iterates General...
(\omega \neq 0)} Gauss–Seidel method: M := D + L {\displaystyle M:=D+L} Successive over-relaxation method (SOR): M := 1 ω D + L ( ω ≠ 0 ) {\displaystyle...
by a canonical tableau. The simplex algorithm proceeds by performing successive pivot operations each of which give an improved basic feasible solution;...
finite differences, in which case a gradient-based method can be used. Interpolation methods Pattern search methods, which have better convergence properties...
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