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Gradient Based

См. также в других словарях:

  • 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

  • Gradient-related — A gradient related direction is a term encountered in multivariable calculus. A gradient related direction is usually encountered in the gradient based iterative optimisation of a function f. At each iteration k our current vector is x^k and we… …   Wikipedia

  • Gradient Analytics — Gradient Analytics, Inc., founded in 1996 by Donn Vickrey and Dr. Carr Bettis as Camelback Research Alliance, Inc. and based in Scottsdale, Arizona, is an independent equity research company. [ [http://investing.businessweek.com/research/stocks/pr… …   Wikipedia

  • Descente De Gradient — Traduction à relire Gradient descent → …   Wikipédia en Français

  • Descente de gradient — Traduction à relire Gradient descent → …   Wikipédia en Français

  • 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

  • Wind gradient — In common usage, wind gradient, more specifically wind speed gradientcite book | last = Hadlock | first = Charles | title = Mathematical Modeling in the Environment | publisher = Mathematical Association of America | location = Washington | year …   Wikipedia

  • Temperature gradient gel electrophoresis — (TGGE) and Denaturing Gradient Gel Electrophoresis (DGGE) are forms of electrophoresis which use either a temperature or chemical gradient to denature the sample as it moves across an acrylamide gel. TGGE and DGGE can be applied to nucleic acids… …   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

  • Multicolumn countercurrent solvent gradient purification — (MCSGP) is a form of chromatography that is used to separate or purify biomolecules from complex mixtures. It was developed at the Swiss Federal Institute of Technology Zürich by Aumann and Morbidelli.[1] The process consists of three to six… …   Wikipedia

  • Color gradient — In computer graphics, a color gradient (sometimes called a color ramp or color progression) specifies a range of position dependent colors, usually used to fill a region.[1] For example, many window managers allow the screen background to be… …   Wikipedia

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