gradient

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gradient

 [gra´de-ent]
rate of increase or decrease of a variable value, or its representative curve.
edge gradient in radiology, the penumbra or partial shadow on a radiograph caused by the three-dimensional shape of an object.
electrochemical gradient the difference in ion concentration and electrical potential from one point to another, so that ions tend to move passively along it.

gra·di·ent

(grā'dē-ĕnt),
Rate of change of temperature, pressure, magnetic field, or other variable as a function of distance, time, or other continuously changing influence.

gradient

/gra·di·ent/ (gra´de-ent) rate of increase or decrease of a variable value, or its graphic representation.
electrochemical gradient  a difference in ion concentration between two points so that ions tend to move passively along it.

gradient

(grā′dē-ənt)
n. Abbr. grad.
1. A rate of inclination; a slope.
2. An ascending or descending part; an incline.
3. Physics The rate at which a physical quantity, such as temperature or pressure, changes in response to changes in a given variable, especially distance.
4. Biology A series of progressively increasing or decreasing differences in the growth rate, metabolism, or physiological activity of a cell, organ, or organism.

gradient

[grā′dē·ənt]
Etymology: L, gradus, step
1 the rate of increase or decrease of a measurable phenomenon, such as temperature or pressure.
2 a visual representation of the rate of change of a measurable phenomenon; a curve.

gra·di·ent

(grā'dē-ĕnt)
Rate of change of temperature, pressure, or other variable, as a function of factors of distance or time.

gra·di·ent

(grā'dē-ĕnt)
Rate of change of temperature, pressure, magnetic field, or other variable as a function of distance, time, or other continuously changing influence.

gradient

rate of increase or decrease of a variable value.
References in periodicals archive ?
The proposed mask for horizontal and vertical direction is convolved to the input image and then the magnitude of the gradient vector is obtained [11, 17].
Let (M,g) be a Riemannian manifold carrying a BC gradient vector field X with closed torse forming generative U.
Having fixed a certain direction, we should consider the scalar product of the unit vector of this direction and gradient vector [F'.
To make the final result relatively insensitive to the initial conditions, Xu and Prince 8,9] proposed the Gradient Vector Field (GVF) model, which allows for flexible initialization of the snake and helps convergence to boundary concavities.
One of the significant variables is the angular difference among the velocity vector and the gap thickness gradient vector.

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