Nelder-Mead Method: Simplex Algorithm, Optimization (Mathematics), Numerical Analysis, Unimodal Function, Heuristic, John Nelder, Simplex, Polytope - Softcover

 
9786130331382: Nelder-Mead Method: Simplex Algorithm, Optimization (Mathematics), Numerical Analysis, Unimodal Function, Heuristic, John Nelder, Simplex, Polytope

Inhaltsangabe

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The Nelder-Mead method or downhill simplex method or amoeba method is a commonly used nonlinear optimization technique, which is a well-defined numerical method for twice differentiable and unimodal problems. However, the Nelder-Mead technique is only a heuristic, since it can converge to non-stationary points on problems that can be solved by alternative methods. The Nelder-Mead technique was proposed by John Nelder & R. Mead (1965) and is a technique for minimizing an objective function in a many-dimensional space.

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Reseña del editor

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The Nelder-Mead method or downhill simplex method or amoeba method is a commonly used nonlinear optimization technique, which is a well-defined numerical method for twice differentiable and unimodal problems. However, the Nelder-Mead technique is only a heuristic, since it can converge to non-stationary points on problems that can be solved by alternative methods. The Nelder-Mead technique was proposed by John Nelder & R. Mead (1965) and is a technique for minimizing an objective function in a many-dimensional space.

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