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- ∇The symbol for gradient is ∇12345. In calculus, the gradient is a differential operator applied to a three-dimensional vector-valued function to generate a vector2. The gradient of a function f is represented by "∇f"2. The gradient symbol is usually an upside-down delta and called "del"3. The gradient is a derivative for each variable of a function3. The gradient is one of three distinct differential operators, along with the divergence and the curl5.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.The symbol for gradient is ∇. Thus, the gradient of a function f, written grad f or ∇ f, is ∇ f = i fx + j fy + k fz where fx, fy, and fz are the first partial derivatives of f and the vectors i, j, and k are the unit vectors of the vector space. If in physics, for example, f is a temperature field (giving the ...www.britannica.com/science/gradient-mathematicsIn Calculus, a gradient is a term used for the differential operator, which is applied to the three-dimensional vector-valued function to generate a vector. The symbol used to represent the gradient is ∇ (nabla). For example, if “f” is a function, then the gradient of a function is represented by “∇f”.byjus.com/maths/gradient/Mathematics We know the definition of the gradient: a derivative for each variable of a function. The gradient symbol is usually an upside-down delta, and called “del” (this makes a bit of sense – delta indicates change in one variable, and the gradient is the change in for all variables).betterexplained.com/articles/vector-calculus-under…The shortest way to write (and easiest way to remember) gradient, divergence and curl uses the symbol “ ⇀ ∇ ” which is a differential operator like ∂ ∂x. It is defined by ⇀ ∇ = ^ ıı ∂ ∂x + ^ ȷȷ ∂ ∂y + ˆk ∂ ∂z and is called “del” or “nabla”. Here are the definitions. Definition 4.1.1 The gradient of a scalar-valued function ...math.libretexts.org/Bookshelves/Calculus/CLP-4_V…
The 'nabla' is used in vector calculusas part of the names of three distinct differential operators: the gradient(∇), the divergence(∇⋅), and the curl(∇×). The last of these uses the cross productand thus makes sense only in three dimensions; the first two are fully general. They were all originally studied in the context of the ...
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