JacobianMatrix
Generated from the engine's own definition: compute-engine's symbol, which we neither extend nor document by hand. No examples yet — the crosswalk is the reason it has a page.
JacobianMatrix(fs, vars): the matrix of partial derivatives ∂fᵢ/∂xⱼ, one row per function and one column per variable. `fs` is a list of expressions. A single (non-list) expression is the gradient case: the result is the flat vector [∂f/∂x₁, …, ∂f/∂xₙ]. `vars` is a list of symbols and may be omitted, in which case the free variables of `fs` are used, in lexicographic order. Example: JacobianMatrix([x^2 y, x + z], [x, y, z]).
JacobianMatrix(any, any?) -> valueas compute-engine declares it