Derivatives is an option to MiniMaxApproximation and GeneralMiniMaxApproximation that specifies an expression that evaluates to a list containing the function and its first ...

RidgeFilter[image] computes a measure for the presence of a ridge for each pixel in image.RidgeFilter[image, \[Sigma]] uses the specified ridge scale \[Sigma].

Derived distributions are modifications to existing distributions. There is a variety of ways in which you can arrive at modified distributions, including functions of random ...

BellY[n, k, {x_1, ..., x n - k + 1}] gives the partial Bell polynomial Y n, k (x_1, ..., x n - k + 1). BellY[n, k, m] gives the generalized partial Bell polynomial of a ...

There are many Mathematica packages that implement symbolic mathematical operations. Here are a few examples drawn from the standard set of packages distributed with ...

 

You can use the Mathematica function DSolve to find symbolic solutions to ordinary and partial differential equations. Solving a differential equation consists essentially in ...

Mathematica has fully integrated support for many of the tools used in classical and modern finance. These capabilities include financial instrument valuation, advanced time ...

LaplacianFilter[image, r] convolves image with a range r Laplacian kernel.LaplacianFilter[image, {r_1, r_2}] uses ranges r_i in the vertical and horizontal ...

LaplacianGaussianFilter[image, r] convolves image with a Laplacian-of-Gaussian kernel of pixel radius r.LaplacianGaussianFilter[image, {r, \[Sigma]}] convolves image with a ...