Gradient enhanced NMR spectroscopy — Gradient enhanced NMR is a method for obtaining high resolution nuclear magnetic resonance spectra without the need for phase cycling . Gradient methodology is used extensively for two purposes, either rephasing (selection) or dephasing… … Wikipedia
Gradient copolymers — Copolymers are polymers that are synthesized with more than one kind of repeat unit (or monomer). A gradient copolymer has gradient in repeat units arranged from mostly monomer A to mostly monomer B along much or all of the copolymer… … 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
Methods to investigate protein–protein interactions — There are many methods to investigate protein–protein interactions. Each of the approaches has its own strengths and weaknesses, especially with regard to the sensitivity and specificity of the method. A high sensitivity means that many of the… … 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
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
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
Meshfree methods — are a particular class of numerical simulation algorithms for the simulation of physical phenomena. Traditional simulation algorithms relied on a grid or a mesh, meshfree methods in contrast use the geometry of the simulated object directly for… … Wikipedia
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
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
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
