step gradient
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Gradient — Gra di*ent, a. [L. gradiens, p. pr. of gradi to step, to go. See {Grade}.] 1. Moving by steps; walking; as, gradient automata. Wilkins. [1913 Webster] 2. Rising or descending by regular degrees of inclination; as, the gradient line of a railroad … The Collaborative International Dictionary of English
gradient — [grā′dē ənt] adj. [L gradiens (gen. gradientis), prp. of gradi, to step: see GRADE] ascending or descending with a uniform slope n. 1. a) a slope, as of a road or railroad b) the degree of such slope 2. Biol. a gradation in rate of growth,… … English World dictionary
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
Step potential — The Schrödinger equation for a one dimensional step potential is a model system in quantum mechanics and scattering theory. The problem consists of solving the time independent Schrödinger equation for a particle with a step like potential in one … Wikipedia
Equilibrium gradient centrifugation — Also called: isopycnic density gradient centrifugation, is a type of centrifugation procedure widely used in biochemistry to separate molecules based on their isopycnic point (Buoyant Density). By spinning biological (or other) preparations at… … Wikipedia
Conjugate gradient method — A comparison of the convergence of gradient descent with optimal step size (in green) and conjugate vector (in red) for minimizing a quadratic function associated with a given linear system. Conjugate gradient, assuming exact arithmetic,… … Wikipedia
Stochastic gradient descent — is a general optimization algorithm, but is typically used to fit the parameters of a machine learning model.In standard (or batch ) gradient descent, the true gradient is used to update the parameters of the model. The true gradient is usually… … 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
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
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
Derivation of the conjugate gradient method — In numerical linear algebra, the conjugate gradient method is an iterative method for numerically solving the linear system where is symmetric positive definite. The conjugate gradient method can be derived from several different perspectives,… … Wikipedia
