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

the coefficients of the explicit exponential Rosenbrock methods together with their embedded methods can be represented by using the so-called reduced...

In mathematical optimization, the Rosenbrock function is a non-convex function, introduced by Howard H. Rosenbrock in 1960, which is used as a performance...

In applied mathematics, the Rosenbrock system matrix or Rosenbrock's system matrix of a linear time-invariant system is a useful representation bridging...

visualization with the Rosenbrock banana function John Burkardt: Nelder–Mead code in Matlab - note that a variation of the Nelder–Mead method is also implemented...

Nelder–Mead method Pattern search (optimization) Powell's method — based on conjugate gradient descent Rosenbrock methods — derivative-free method, similar...

"H-infinity") methods are used in control theory to synthesize controllers to achieve stabilization with guaranteed performance. To use H∞ methods, a control...

optimization methods, both known as Rosenbrock methods. The Rosenbrock function is a benchmark test for numerical optimization algorithms. Rosenbrock function...

Livermore predictor-corrector method, the Rosenbrock methods or the 4th/5th-order Runge–Kutta method. The latter method is more efficient in terms of...

methods for solving stochastic differential equations include the Euler–Maruyama method, Milstein method, Runge–Kutta method (SDE), Rosenbrock method...