• Rosenbrock methods refers to either of two distinct ideas in numerical computation, both named for Howard H. Rosenbrock. Rosenbrock methods for stiff...
    3 KB (295 words) - 13:12, 24 July 2024
  • the coefficients of the explicit exponential Rosenbrock methods together with their embedded methods can be represented by using the so-called reduced...
    20 KB (3,375 words) - 22:15, 8 July 2024
  • Thumbnail for 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...
    6 KB (765 words) - 01:13, 29 September 2024
  • optimization methods, both known as Rosenbrock methods. The Rosenbrock function is a benchmark test for numerical optimization algorithms. Rosenbrock function...
    4 KB (326 words) - 14:58, 12 January 2025
  • Thumbnail for Nelder–Mead method
    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...
    17 KB (2,379 words) - 16:52, 25 April 2025
  • In applied mathematics, the Rosenbrock system matrix or Rosenbrock's system matrix of a linear time-invariant system is a useful representation bridging...
    3 KB (420 words) - 21:07, 14 April 2025
  • "H-infinity") methods are used in control theory to synthesize controllers to achieve stabilization with guaranteed performance. To use H∞ methods, a control...
    9 KB (1,097 words) - 20:49, 2 July 2024
  • Nelder–Mead method Pattern search (optimization) Powell's method — based on conjugate gradient descent Rosenbrock methods — derivative-free method, similar...
    70 KB (8,327 words) - 09:12, 7 June 2025
  • methods for solving stochastic differential equations include the Euler–Maruyama method, Milstein method, Runge–Kutta method (SDE), Rosenbrock method...
    36 KB (5,634 words) - 11:32, 24 June 2025
  • Thumbnail for Metropolis–Hastings algorithm
    of the distribution to be sampled is high. As a result, MCMC methods are often the methods of choice for producing samples from hierarchical Bayesian models...
    30 KB (4,556 words) - 09:14, 9 March 2025
  • Thumbnail for Evolutionary algorithm
    search over a constrained Rosenbrock function with bounded global optimum A two-population EA search over a constrained Rosenbrock function. Global optimum...
    41 KB (4,553 words) - 23:21, 14 June 2025
  • bridging state space and transfer function methods was proposed by Howard H. Rosenbrock, and is known as the Rosenbrock system matrix. In imaging, transfer functions...
    15 KB (2,498 words) - 06:36, 5 May 2025
  • Thumbnail for Adaptive coordinate descent
    Adaptive coordinate descent (category Optimization algorithms and methods)
    space with static polygonal obstacles. Coordinate descent CMA-ES Rosenbrock methods Mathematical optimization Loshchilov, I.; M. Schoenauer; M. Sebag...
    4 KB (490 words) - 03:05, 5 October 2024
  • Livermore predictor-corrector method, the Rosenbrock methods or the 4th/5th-order Runge–Kutta method. The latter method is more efficient in terms of...
    31 KB (3,889 words) - 08:17, 14 September 2024
  • for solving ODEs. Rosenbrock methods: SAAM II employs typical Rosenbrock methods, which are a class of implicit Runge-Kutta methods suitable for stiff...
    10 KB (1,278 words) - 14:46, 22 June 2025
  • Thumbnail for MCS algorithm
    MCS algorithm (category Optimization algorithms and methods)
    recovered by tracing the history of a box back to the root (initial box). This method was suggested by the authors and used in their original implementation....
    6 KB (666 words) - 05:43, 27 May 2025
  • Thumbnail for Quasiconvex function
    for functions with multiple arguments. For example, the 2-dimensional Rosenbrock function is unimodal but not quasiconvex and functions with star-convex...
    12 KB (1,448 words) - 16:26, 16 September 2024
  • Thumbnail for Differential evolution
    differentiable, as is required by classic optimization methods such as gradient descent and quasi-newton methods. DE can therefore also be used on optimization...
    13 KB (1,589 words) - 04:27, 9 February 2025
  • differentiable as required by classic optimization methods such as gradient descent and quasi-newton methods. BBO can therefore be used on discontinuous functions...
    28 KB (3,458 words) - 15:02, 16 April 2025
  • Cross-disciplinary Project in Computer-aided Manufacturing". In Howard Rosenbrock (ed.). Human-centered systems. London: Springer-Verlag. ISBN 978-3-540-19567-2...
    24 KB (3,041 words) - 03:11, 26 May 2025
  • representation is commonly used for multiple-input, multiple-output systems. The Rosenbrock system matrix provides a bridge between the state-space representation...
    30 KB (4,759 words) - 13:27, 24 June 2025
  • representations Five pre-done vector application problem domains (sum, rosenbrock, sphere, step, noisy-quartic) Other Representations: NEAT Multiset-based...
    3 KB (371 words) - 04:14, 22 March 2024
  • 1016/0004-3702(95)00124-7. ISSN 0004-3702. Vanaret C. (2015) Hybridization of interval methods and evolutionary algorithms for solving difficult optimization problems...
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  • Hussein Zedan (category Formal methods people)
    Derwent Pryce and Hubert Schwetlick for a thesis entitled Modified Rosenbrock-Wanner methods for solving systems of stiff ordinary differential equations....
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  • Prize (1995), Richard E. Bellman Control Heritage Award (2003) Howard H. Rosenbrock University of Manchester Institute of Science and Technology British 1920–2010...
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  • PMID 21159728. Pekcec A, Schülert N, Stierstorfer B, Deiana S, Dorner-Ciossek C, Rosenbrock H (July 2018). "Targeting the dopamine D1 receptor or its downstream signalling...
    149 KB (15,936 words) - 13:38, 22 June 2025
  • Thumbnail for Interatomic potential
    Bibcode:2021EPJB...94..142B. doi:10.1140/epjb/s10051-021-00156-1. ISSN 1434-6036. Rosenbrock, Conrad W.; Gubaev, Konstantin; Shapeev, Alexander V.; Pártay, Livia B...
    60 KB (7,363 words) - 01:45, 24 June 2025