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Using this definition, the negative of a non-zero gradient is always a ...all with differing merits, such as [[gradient descent]] or the [[conjugate gradient method]]. ...

...rst order]]. However under certain conditions it's possible to recover the gradient at certain locations within each element to [[Second order approximation|se ...2=R. D. | title=On the supraconvergence of elliptic finite difference methods | journal=Applied Numerical Mathematics | volume=28 | pages=275–292 | year= ...

* [[Stochastic gradient descent]] [[Category:Optimization algorithms and methods]] ...

* [[Newtonianism]], the philosophical principle of applying Newton's methods in a variety of fields ...like water—its shear stress is linearly proportional to the velocity gradient in the direction perpendicular to the plane of shear ...

...s]], more specifically in [[numerical linear algebra]], the '''biconjugate gradient method''' is an [[algorithm]] to solve [[system of linear equations|systems Unlike the [[conjugate gradient method]], this algorithm does not require the [[matrix (mathematics)|matrix ...

==Active-set methods== Methods that can be described as '''active-set methods''' include:<ref>{{harvnb|Nocedal|Wright|2006|pp=467–480}}</ref> ...

...| last1 = Wolfe | first1 = P. | title = Convergence Conditions for Ascent Methods. II: Some Corrections | doi = 10.1137/1013035 | journal = [[SIAM Review]] | In these methods the idea is to find ...

...o generate an effect which can be measured using several [[spectroscopic]] methods, such as [[nuclear magnetic resonance]] (NMR), [[microwave spectroscopy]], ...up>2</sup>. [[Density functional theory]] has become an important tool for methods of [[nuclear spectroscopy]] to calculate EFGs and provide a deeper understa ...

...ction. The descent direction can be computed by various methods, such as [[gradient descent]] or [[quasi-Newton method]]. The step size can be determined eithe === Zero-order methods === ...

...ics | volume = 6 | issue = 5 | pages = 1 | year = 1966 }}</ref> '''reduced gradient algorithm''' and the '''convex combination algorithm''', the method was ori While competing methods such as [[gradient descent]] for constrained optimization require a [[Projection (mathematics) ...

...f the crucible, in vertical Bridgman method allows for a small temperature gradient only near the liquid-solid interface.<ref>https://books.google.com.pa/books ...n of the Bridgman technique allows for better control over the temperature gradient at the melt/crystal interface. ...

...e observed negative [[Hessian matrix]] with the [[outer product]] of the [[gradient]]. This approximation is based on the [[Fisher information|information matr ...'Econometric Modelling with Time Series'', Chapter 3 'Numerical Estimation Methods'. Cambridge University Press, 2015. ...

* [[Geothermal gradient]], down which heat flows within the Earth * [[Geothermal heating]], methods of heating and cooling a building using underground heat ...

...erential expression that corresponds to the second-order derivative in the gradient direction (both of these operations preceded by a Gaussian smoothing step). ...

...rative method is usually performed; however, [[heuristic]]-based iterative methods are also common. ...nvolving many variables (sometimes on the order of millions), where direct methods would be prohibitively expensive (and in some cases impossible) even with t ...

'''Ordination''' or '''gradient analysis''', in [[multivariate analysis]], is a method complementary to [[d == Methods == ...

...is governed by the [[Mass diffusivity|diffusivity]] and the concentration gradient. ...t of atoms) is always in the opposite direction of the [[concentration]] [[gradient]].]] ...

...an explicit representation of <math>A</math>, giving rise to [[Matrix-free methods]]. ...endence|linearly dependent]] due to the properties of [[power iteration]], methods relying on Krylov subspace frequently involve some [[orthogonalization]] sc ...

| class="mw-no-invert" style={{Linear-gradient background|#{{Color temperature|15000|hexval}}|#{{Color temperature|27000|h | class="mw-no-invert" style={{Linear-gradient background|#{{Color temperature|10000|hexval}}|#{{Color temperature|12000|h ...

The '''Understeer Gradient (U)''' is the rate of change of the understeer angle with respect to latera ...understeer gradient is negative, and '''Neutral steer''' if the understeer gradient is zero. ...