Zoekresultaten - (( does optimization (algorithm OR algorithms) ) OR ( one optimization (algorithm OR algorithms) ))

Alternatieven:

  1. Multi-Sensor Information Fusion door Gao, Yuan, Jin, Xue-Bo

    Gepubliceerd in 2021
    Onderwerpen: “…TA1-2040…”
    Volledige tekst
    Online
  2. Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications door Huber, Marco

    Gepubliceerd in 2021
    “…By restricting to Gaussian distributions, the optimal Bayesian filtering problem can be transformed into an algebraically simple form, which allows for computationally efficient algorithms. …”
    Volledige tekst
    Online
  3. Optimization in Control Applications door Francisco Ronay López-Estrada (Ed.), Guillermo Valencia-Palomo (Ed.)

    Gepubliceerd in 2021
    “…Nevertheless, real-world control systems need to comply with several conditions and constraints that have to be taken into account in the problem formulation—these represent challenges in the application of the optimization algorithms. The aim of this Special Issue is to offer the state-of-the-art of the most advanced optimization techniques (online and offline) and their applications in control engineering.]…”
    Volledige tekst
    Online
  4. Optimization Methods Applied to Power Systems: Volume 1 door Montoya, Francisco G., Baños Navarro, Raúl

    Gepubliceerd in 2021
    Onderwerpen: “…multi-objective particle swarm optimization algorithm…”
    Volledige tekst
    Online
  5. Optimization Methods Applied to Power Systems: Volume 2 door Montoya, Francisco G., Baños Navarro, Raúl

    Gepubliceerd in 2021
    Onderwerpen: “…multi-objective particle swarm optimization algorithm…”
    Volledige tekst
    Online
  6. Quantitative Biology: Dynamics of Living Systems door Noriko Hiroi, Douglas B. Murray, Viji M. Draviam, Chun-Biu Li, Hiroaki Takagi, Ziya Kalay, Tetsuya J. Kobayashi, Akira Funahashi, Akatsuki Kimura, Rinshi S. Kasai, Naoki A. Irie, Jason Edward Shoemaker

    Gepubliceerd in 2021
    “…This research topic is organized on two aspects of technological advances which are the backbone of Quantitative Biology: (i) visualization of biomolecules, their dynamics and function, and (ii) generic technologies of model optimization and numeric integration. …”
    Volledige tekst
    Online