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- Dictionarygradient/ˈɡreɪdɪənt/
noun
- 1. an inclined part of a road or railway; a slope: "fail-safe brakes for use on steep gradients" Similar
- 2. an increase or decrease in the magnitude of a property (e.g. temperature, pressure, or concentration) observed in passing from one point or moment to another.
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Learn what is a gradient, how to calculate it for lines and curves, and how to use it to find directional derivatives. Explore the properties and examples of gradients with interactive visualizers and solved problems.
Gradient. The gradient, represented by the blue arrows, denotes the direction of greatest change of a scalar function. The values of the function are represented in greyscale and increase in value from white (low) to dark (high). In vector calculus, the gradient of a scalar-valued differentiable function of several variables is the vector field ...
Learn what is the gradient of a function, a vector field that represents the rate of change of a function in different directions. Find out how to calculate the gradient of a function in two and three dimensions, and see solved examples.
- The gradient of a function is a vector field. In other words, the gradient is a differential operator applied to the three-dimensional vector value...
- The gradient is represented by the symbol ∇ (nabla).
- The gradient of a function can be found by applying the vector operator to the scalar function. I.e., ∇f (x, y).
Learn the meaning of gradient as a noun, with synonyms, examples, and word history. Gradient can refer to a slope, a rate of change, or a vector sum of partial derivatives.
Gradient is a noun that means how steep a slope is or a measure of a change between different quantities of something. Learn more about the meaning, usage and examples of gradient from Cambridge Dictionary.
Gradient definition: the degree of inclination, or the rate of ascent or descent, in a highway, railroad, etc.. See examples of GRADIENT used in a sentence.
Gradient is a differential operator that yields a vector whose components are partial derivatives of a 3-D vector function. Learn how gradient is used in physics, mathematics, and vector analysis with examples and diagrams.
