Broyden’s algorithm is a quasi-Newton method used to solve systems of nonlinear equations. Unlike Newton’s method, which requires the computation of the Jacobian matrix at each iteration, Broyden’s method approximates the Jacobian (or its inverse) to reduce computational cost. This makes it particularly useful for high-dimensional problems where computing the exact Jacobian is expensive.