"Gauss–Newton" and "conjugate gradient" methods use derivatives. When Mathematica cannot compute symbolic derivatives, finite differences will be used. Computing derivatives ...
When derivatives cannot be computed symbolically, "Newton's" method will be used, but with a finite difference approximation to the Jacobian. This can have costs in terms of ...
CUDAImageAdd[img, x] adds an amount x to each channel value in img.CUDAImageAdd[mem, x] adds an amount x to each channel value in mem.CUDAImageAdd[img 1, img 2] gives an ...
CUDAImageMultiply[img, x] multiplies an amount x to each channel value in img.CUDAImageMultiply[mem, x] multiplies an amount x to each channel value in ...
SQLCreateTable creates a new table in a database. An alternative, using raw SQL, is described in "Creating Tables with Raw SQL". If you find that the examples in this ...
The raw SQL command CREATE TABLE creates tables in a database. An alternative is to use the Mathematica command SQLCreateTable, described in "Creating Tables". If you find ...
The raw SQL command DELETE deletes data from a database. An alternative is to use the Mathematica command SQLDelete, described in "Deleting Data". If you find that the ...
The raw SQL command UPDATE updates data in a database. An alternative is to use the Mathematica command SQLUpdate, described in "Updating Data". If you find that the examples ...
ArrayPad[array, m] gives an array with m 0s of padding on every side. ArrayPad[array, m, padding] uses the specified padding.ArrayPad[array, {m, n}, ...] pads with m elements ...
BenktanderWeibullDistribution[a, b] represents a Benktander distribution of type II with parameters a and b.