fast_jac: Fast Numerical Jacobian

In optimflex: Derivative-Based Optimization with User-Defined Convergence Criteria

Fast Numerical Jacobian

Description

Calculates the Jacobian matrix for a vector-valued function (e.g., residuals).

Usage

fast_jac(f_res, x, diff_method = c("forward", "central"), ...)

Arguments

f_res	Function. A function returning a vector of residuals.
x	Numeric vector. Parameters at which to evaluate the Jacobian.
diff_method	String. Differentiation method: "forward" or "central".
...	Additional arguments passed to f_res.

Value

A Jacobian matrix of dimension (m x n).

optimflex documentation built on April 11, 2026, 5:06 p.m.