- gradient optimization
- Макаров: градиентная оптимизация, оптимизация градиентным методом
Универсальный англо-русский словарь. Академик.ру. 2011.
gradient optimization
Смотреть что такое "gradient optimization" в других словарях:
Optimization (mathematics) — In mathematics, the term optimization, or mathematical programming, refers to the study of problems in which one seeks to minimize or maximize a real function by systematically choosing the values of real or integer variables from within an… … Wikipedia
Gradient descent — For the analytical method called steepest descent see Method of steepest descent. Gradient descent is an optimization algorithm. To find a local minimum of a function using gradient descent, one takes steps proportional to the negative of the… … Wikipedia
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Newton's method in optimization — A comparison of gradient descent (green) and Newton s method (red) for minimizing a function (with small step sizes). Newton s method uses curvature information to take a more direct route. In mathematics, Newton s method is an iterative method… … Wikipedia
Shape optimization — is part of the field of optimal control theory. The typical problem is to find the shape which is optimal in that it minimizes a certain cost functional while satisfying given constraints. In many cases, the functional being solved depends on the … Wikipedia
Nonlinear conjugate gradient method — In numerical optimization, the nonlinear conjugate gradient method generalizes the conjugate gradient method to nonlinear optimization. For a quadratic function : The minimum of f is obtained when the gradient is 0: . Whereas linear conjugate… … Wikipedia
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Algorithme du gradient — L algorithme du gradient désigne un algorithme d optimisation différentiable. Il est par conséquent destiné à minimiser une fonction réelle différentiable définie sur un espace euclidien (par exemple, , l espace des n uplets de nombres réels,… … Wikipédia en Français
Ant Colony Optimization — Algorithme de colonies de fourmis Les algorithmes de colonies de fourmis sont des algorithmes inspirés du comportement des fourmis et qui constituent une famille de métaheuristiques d’optimisation. Initialement proposé par Marco Dorigo et al.… … Wikipédia en Français
