Rosenbrock methods refers to either of two distinct ideas in numerical computation, both named for Howard H. Rosenbrock.

It has been suggested that this article should be split into multiple articles. (discuss) (July 2023)

Rosenbrock methods for stiff differential equations are a family of single-step methods for solving ordinary differential equations.^[1][2] They are related to the implicit Runge–Kutta methods^[3] and are also known as Kaps–Rentrop methods.^[4]

Rosenbrock search is a numerical optimization algorithm applicable to optimization problems in which the objective function is inexpensive to compute and the derivative either does not exist or cannot be computed efficiently.^[5] The idea of Rosenbrock search is also used to initialize some root-finding routines, such as fzero (based on Brent's method) in Matlab. Rosenbrock search is a form of derivative-free search but may perform better on functions with sharp ridges.^[6] The method often identifies such a ridge which, in many applications, leads to a solution.^[7]

• Rosenbrock function
• Adaptive coordinate descent