In vector calculus, the gradient of a scalar-valued differentiable function f {\displaystyle f} of several variables is the vector field (or vector-valued...
37 KB (5,689 words) - 00:23, 24 June 2025
Gradient descent is a method for unconstrained mathematical optimization. It is a first-order iterative algorithm for minimizing a differentiable multivariate...
39 KB (5,600 words) - 14:21, 20 June 2025
surface gradient is a vector differential operator that is similar to the conventional gradient. The distinction is that the surface gradient takes effect...
2 KB (190 words) - 04:21, 21 February 2025
Gradient boosting is a machine learning technique based on boosting in a functional space, where the target is pseudo-residuals instead of residuals as...
28 KB (4,259 words) - 23:39, 19 June 2025
rate. Gradient may also refer to: Gradient sro, a Czech aircraft manufacturer Image gradient, a gradual change or blending of color Color gradient, a range...
1 KB (176 words) - 00:58, 21 October 2024
In machine learning, the vanishing gradient problem is the problem of greatly diverging gradient magnitudes between earlier and later layers encountered...
24 KB (3,711 words) - 14:28, 9 July 2025
Geothermal gradient is the rate of change in temperature with respect to increasing depth in Earth's interior. As a general rule, the crust temperature...
28 KB (3,157 words) - 09:47, 12 May 2025
In hydrodynamics and hydrostatics, the pressure gradient (typically of air but more generally of any fluid) is a physical quantity that describes in which...
5 KB (581 words) - 22:30, 29 February 2024
Stochastic gradient descent (often abbreviated SGD) is an iterative method for optimizing an objective function with suitable smoothness properties (e...
53 KB (7,031 words) - 19:45, 12 July 2025
Texture gradient is the distortion in size which closer objects have compared to objects further away. It also involves groups of objects appearing denser...
3 KB (268 words) - 01:00, 21 October 2024
Backpropagation (section Second-order gradient descent)
In machine learning, backpropagation is a gradient computation method commonly used for training a neural network in computing parameter updates. It is...
55 KB (7,843 words) - 14:53, 20 June 2025
image gradient represents the derivative of an image, so the goal of gradient domain processing is to construct a new image by integrating the gradient, which...
7 KB (896 words) - 14:11, 16 May 2024
A temperature gradient is a physical quantity that describes in which direction and at what rate the temperature changes the most rapidly around a particular...
5 KB (479 words) - 23:09, 8 February 2025
Gradient-index (GRIN) optics is the branch of optics covering optical effects produced by a gradient of the refractive index of a material. Such gradual...
14 KB (1,864 words) - 04:26, 26 May 2025
Stream gradient (or stream slope) is the grade (or slope) of a stream. It is measured by the ratio of drop in elevation and horizontal distance. It is...
5 KB (647 words) - 17:42, 27 April 2025
The gradient theorem, also known as the fundamental theorem of calculus for line integrals, says that a line integral through a gradient field can be evaluated...
20 KB (3,012 words) - 14:30, 10 June 2025
In fluid mechanics, the pressure-gradient force is the force that results when there is a difference in pressure across a surface. In general, a pressure...
3 KB (451 words) - 05:00, 4 March 2024
Policy gradient methods are a class of reinforcement learning algorithms. Policy gradient methods are a sub-class of policy optimization methods. Unlike...
31 KB (6,297 words) - 20:12, 9 July 2025
geometry, the four-gradient (or 4-gradient) ∂ {\displaystyle {\boldsymbol {\partial }}} is the four-vector analogue of the gradient ∇ → {\displaystyle...
48 KB (8,619 words) - 21:49, 6 December 2024
mathematical morphology and digital image processing, a morphological gradient is the difference between the dilation and the erosion of a given image...
2 KB (340 words) - 16:28, 16 June 2025
In color science, a color gradient (also known as a color ramp or a color progression) specifies a range of position-dependent colors, usually used to...
13 KB (1,302 words) - 13:57, 2 June 2025
Reinforcement learning (redirect from Deep deterministic policy gradient)
The two approaches available are gradient-based and gradient-free methods. Gradient-based methods (policy gradient methods) start with a mapping from...
69 KB (8,200 words) - 16:29, 4 July 2025
An image gradient is a directional change in the intensity or color in an image. The gradient of the image is one of the fundamental building blocks in...
7 KB (874 words) - 03:37, 3 February 2025
electrochemical gradient is a gradient of electrochemical potential, usually for an ion that can move across a membrane. The gradient consists of two...
24 KB (2,768 words) - 12:29, 10 July 2025
environmental gradient, or climate gradient, is a change in abiotic (non-living) factors through space (or time). Environmental gradients can be related...
14 KB (1,460 words) - 21:41, 22 May 2025
Drainage gradient (DG) is a term in road design, defined as the combined slope due to road surface cross slope (CS) and longitudinal slope (hilliness)...
6 KB (724 words) - 12:00, 14 October 2023
In mathematics, the conjugate gradient method is an algorithm for the numerical solution of particular systems of linear equations, namely those whose...
51 KB (8,421 words) - 13:05, 20 June 2025
Temperature gradient gel electrophoresis (TGGE) and denaturing gradient gel electrophoresis (DGGE) are forms of electrophoresis which use either a temperature...
12 KB (1,732 words) - 14:05, 12 July 2025
Density gradient is a spatial variation in density over a region. The term is used in the natural sciences to describe varying density of matter, but can...
6 KB (598 words) - 18:23, 31 January 2025
wind gradient, more specifically wind speed gradient or wind velocity gradient, or alternatively shear wind, is the vertical component of the gradient of...
35 KB (4,299 words) - 12:16, 6 June 2025