14 мар. 2018 г. · I have two functions scalar functions of vector x, f(x) and g(x). I know the gradient of f(x) (i.e. ▽f(x)) and I want to find the gradient of f( ... |
7 мар. 2015 г. · This question shows research effort; it is useful and clear 2 What happens when you multiply two gradients of two scalar fields together? |
1 июл. 2016 г. · The gradient of a scalar z with respect to C is given by G. The matrix multiplication operation is responsible for defining two back-propagation rules. |
21 июл. 2018 г. · It is the difference between the derivative and the gradient. It is the same for 'ordinary' functions f:Rn→R. |
11 мая 2018 г. · Using the product rule, the gradient of (M⋅c)i=Mijcj satisfies (∇(M⋅c))ik=Mij,kcj+Mijcj,k=(c⋅∇(M⊤)+M⋅∇c)ik. |
11 янв. 2020 г. · Therefore the gradient must be the term in parentheses − or its transpose depending upon your preferred layout convention. |
31 авг. 2015 г. · Two possible meanings. If there is no dot-product between → ∇ and a→v then you are taking the gradient of a vector-field. This is answered here. |
29 сент. 2020 г. · The gradient should be vector-valued, not scalar-valued. It seems as if you're trying to differentiate with respect to all xi's at once when ... |
8 дек. 2017 г. · The gradient of a matrix with respect to a matrix is a 4th order tensor, so it's best to use index notation. |
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