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  2. Non-linear sigma model - Wikipedia

    en.wikipedia.org/wiki/Non-linear_sigma_model

    The non-linear σ-model was introduced by Gell-Mann & Lévy (1960, §6), who named it after a field corresponding to a spinless meson called σ in their model. [1] This article deals primarily with the quantization of the non-linear sigma model; please refer to the base article on the sigma model for general definitions and classical (non ...

  3. SNOPT - Wikipedia

    en.wikipedia.org/wiki/SNOPT

    SNOPT, for Sparse Nonlinear OPTimizer, is a software package for solving large-scale nonlinear optimization problems written by Philip Gill, Walter Murray and Michael Saunders. SNOPT is mainly written in Fortran , but interfaces to C , C++ , Python and MATLAB are available.

  4. Sigma model - Wikipedia

    en.wikipedia.org/wiki/Sigma_model

    In physics, a sigma model is a field theory that describes the field as a point particle confined to move on a fixed manifold. This manifold can be taken to be any Riemannian manifold, although it is most commonly taken to be either a Lie group or a symmetric space.

  5. Model predictive control - Wikipedia

    en.wikipedia.org/wiki/Model_predictive_control

    acados - Open-source framework for (nonlinear) model predictive control providing fast and embedded solvers for nonlinear optimization. (C, MATLAB and Python interface available) μAO-MPC - Open Source Software package that generates tailored code for model predictive controllers on embedded systems in highly portable C code.

  6. Non-linear mixed-effects modeling software - Wikipedia

    en.wikipedia.org/wiki/Non-linear_mixed-effects...

    Nonlinear mixed-effects models are a special case of regression analysis for which a range of different software solutions are available. The statistical properties of nonlinear mixed-effects models make direct estimation by a BLUE estimator impossible. Nonlinear mixed effects models are therefore estimated according to Maximum Likelihood ...

  7. Volterra series - Wikipedia

    en.wikipedia.org/wiki/Volterra_series

    The Volterra series is a model for non-linear behavior similar to the Taylor series.It differs from the Taylor series in its ability to capture "memory" effects. The Taylor series can be used for approximating the response of a nonlinear system to a given input if the output of the system depends strictly on the input at that particular time.

  8. Nonlinear programming - Wikipedia

    en.wikipedia.org/wiki/Nonlinear_programming

    SciPy (de facto standard for scientific Python) has scipy.optimize solver, which includes several nonlinear programming algorithms (zero-order, first order and second order ones). IPOPT (C++ implementation, with numerous interfaces including C, Fortran, Java, AMPL, R, Python, etc.) is an interior point method solver (zero-order, and optionally ...

  9. Artelys Knitro - Wikipedia

    en.wikipedia.org/wiki/Artelys_Knitro

    Artelys Knitro is a commercial software package for solving large scale nonlinear mathematical optimization problems. KNITRO – (the original solver name) short for " N onlinear I nterior point T rust R egion O ptimization" (the "K" is silent) – was co-created by Richard Waltz, Jorge Nocedal , Todd Plantenga and Richard Byrd.