Search results
Results from the WOW.Com Content Network
That is, the Jacobian of a composite function is the product of the Jacobians of the composed functions (evaluated at the appropriate points). The higher-dimensional chain rule is a generalization of the one-dimensional chain rule. If k, m, and n are 1, so that f : R → R and g : R → R, then the Jacobian matrices of f and g are 1 × 1.
In probability theory, the chain rule [1] (also called the general product rule [2] [3]) describes how to calculate the probability of the intersection of, not necessarily independent, events or the joint distribution of random variables respectively, using conditional probabilities.
2.5 Chain rule. 2.6 ... The Laplacian is a measure of how much a function is changing over a small sphere centered at the point. ... Similar rules apply to algebraic ...
The chain rule [citation needed] for Kolmogorov complexity is an analogue of the chain rule for information entropy, which states: (,) = + (|)That is, the combined randomness of two sequences X and Y is the sum of the randomness of X plus whatever randomness is left in Y once we know X.
The chain rule applies in some of the cases, but unfortunately does not apply in matrix-by-scalar derivatives or scalar-by-matrix derivatives (in the latter case, mostly involving the trace operator applied to matrices). In the latter case, the product rule can't quite be applied directly, either, but the equivalent can be done with a bit more ...
Define p 2 as the point at time t whose x-coordinate matches that of p̄ 1, and define p̄ 2 to be the corresponding point of p 2 as shown in the figure on the right. The distance Δx between p 1 and p̄ 1 is the same as the distance between p 2 and p̄ 2 (green lines), and dividing this distance by Δt yields the speed of the wave.
The partial derivative of f with respect to x does not give the true rate of change of f with respect to changing x because changing x necessarily changes y. However, the chain rule for the total derivative takes such dependencies into account. Write () = (, ()). Then, the chain rule says
The derivatives are then computed in sync with the evaluation steps and combined with other derivatives via the chain rule. Using the chain rule, if has predecessors in the computational graph: ˙ = {} ˙ Figure 2: Example of forward accumulation with computational graph