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  2. Rosenbrock function - Wikipedia

    en.wikipedia.org/wiki/Rosenbrock_function

    In mathematical optimization, the Rosenbrock function is a non-convex function, introduced by Howard H. Rosenbrock in 1960, which is used as a performance test problem for optimization algorithms. [1] It is also known as Rosenbrock's valley or Rosenbrock's banana function. The global minimum is inside a long, narrow, parabolic-shaped flat ...

  3. Test functions for optimization - Wikipedia

    en.wikipedia.org/wiki/Test_functions_for...

    The test functions used to evaluate the algorithms for MOP were taken from Deb, [4] Binh et al. [5] and Binh. [6] The software developed by Deb can be downloaded, [ 7 ] which implements the NSGA-II procedure with GAs, or the program posted on Internet, [ 8 ] which implements the NSGA-II procedure with ES.

  4. Rosenbrock methods - Wikipedia

    en.wikipedia.org/wiki/Rosenbrock_methods

    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]

  5. Rosenbrock system matrix - Wikipedia

    en.wikipedia.org/wiki/Rosenbrock_system_matrix

    In applied mathematics, the Rosenbrock system matrix or Rosenbrock's system matrix of a linear time-invariant system is a useful representation bridging state-space representation and transfer function matrix form. It was proposed in 1967 by Howard H. Rosenbrock. [1]

  6. Nelder–Mead method - Wikipedia

    en.wikipedia.org/wiki/Nelder–Mead_method

    Nelder–Mead (Downhill Simplex) explanation and 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 by the Matlab function fminsearch. Nelder-Mead optimization in Python in the SciPy library.

  7. MCS algorithm - Wikipedia

    en.wikipedia.org/wiki/MCS_algorithm

    Figure 1: MCS algorithm (without local search) applied to the two-dimensional Rosenbrock function. The global minimum = is located at (,) = (,). MCS identifies a position with within 21 function evaluations. After additional 21 evaluations the optimal value is not improved and the algorithm terminates.

  8. Howard Harry Rosenbrock - Wikipedia

    en.wikipedia.org/wiki/Howard_Harry_Rosenbrock

    Howard Harry Rosenbrock (16 December 1920 – 21 October 2010) was a leading figure in control theory and control engineering. He was born in Ilford , England in 1920, graduated in 1941 from University College London with a 1st class honors degree in Electrical Engineering.

  9. Category:Test functions for optimization - Wikipedia

    en.wikipedia.org/wiki/Category:Test_functions...

    Rosenbrock function; S. Shekel function This page was last edited on 29 December 2023, at 15:34 (UTC). Text is available under the Creative Commons Attribution ...