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  2. Rosenbrock function - Wikipedia

    en.wikipedia.org/wiki/Rosenbrock_function

    Plot of the Rosenbrock function of two variables. Here a = 1 , b = 100 {\displaystyle a=1,b=100} , and the minimum value of zero is at ( 1 , 1 ) {\displaystyle (1,1)} . 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 ...

  3. 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]

  4. MCS algorithm - Wikipedia

    en.wikipedia.org/wiki/MCS_algorithm

    For mathematical optimization, Multilevel Coordinate Search (MCS) is an efficient [1] algorithm for bound constrained global optimization using function values only. [2] To do so, the n-dimensional search space is represented by a set of non-intersecting hypercubes (boxes). The boxes are then iteratively split along an axis plane according to ...

  5. Test functions for optimization - Wikipedia

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

    Just a general form of the equation, a plot of the objective function, boundaries of the object variables and the coordinates of global minima are given herein. Test functions for single-objective optimization

  6. Rosenbrock system matrix - Wikipedia

    en.wikipedia.org/wiki/Rosenbrock_system_matrix

    An interpretation of the Rosenbrock System Matrix as a Linear Fractional Transformation can be found in. [4] One of the first applications of the Rosenbrock form was the development of an efficient computational method for Kalman decomposition , which is based on the pivot element method.

  7. Mesocosm - Wikipedia

    en.wikipedia.org/wiki/Mesocosm

    Mesocosm experiments also tend to include replication of different treatment levels. Manipulating something can give an idea as to what to expect if something were to occur in that ecosystem or environment. [2] For indoor mesocosms, growth chambers grant greater control over the experiment. [2]

  8. Trajectory optimization - Wikipedia

    en.wikipedia.org/wiki/Trajectory_optimization

    Depending on the configuration, open-chain robotic manipulators require a degree of trajectory optimization. For instance, a robotic arm with 7 joints and 7 links (7-DOF) is a redundant system where one cartesian position of an end-effector can correspond to an infinite number of joint angle positions, thus this redundancy can be used to optimize a trajectory to, for example, avoid any ...

  9. 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.