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  2. OpenLB - Wikipedia

    en.wikipedia.org/wiki/OpenLB

    The source code uses the concepts of interfaces and templates, so that efficient, direct and intuitive implementations of the LBM become possible. [4] The efficiency and scalability has been checked and proved by code reviews. [5] A user manual and a source code documentation by DoxyGen are available on the project page.

  3. Lattice Boltzmann methods for solids - Wikipedia

    en.wikipedia.org/wiki/Lattice_Boltzmann_methods...

    The Lattice Boltzmann methods for solids (LBMS) are a set of methods for solving partial differential equations (PDE) in solid mechanics. The methods use a discretization of the Boltzmann equation(BM), and their use is known as the lattice Boltzmann methods for solids. LBMS methods are categorized by their reliance on: Vectorial distributions [1]

  4. Scatchard equation - Wikipedia

    en.wikipedia.org/wiki/Scatchard_equation

    Mathematically, the Scatchard equation is related to Eadie-Hofstee method, which is used to infer kinetic properties from enzyme reaction data. Many modern methods for measuring binding such as surface plasmon resonance and isothermal titration calorimetry provide additional binding parameters that are globally fit by computer-based iterative ...

  5. Sight reduction - Wikipedia

    en.wikipedia.org/wiki/Sight_reduction

    The first approach of a compact and concise method was published by R. Doniol in 1955 [4] and involved haversines. The altitude is derived from sin ⁡ ( H c ) = n − a ⋅ ( m + n ) {\displaystyle \sin(Hc)=n-a\cdot (m+n)} , in which n = cos ⁡ ( L a t − D e c ) {\displaystyle n=\cos(Lat-Dec)} , m = cos ⁡ ( L a t + D e c ) {\displaystyle ...

  6. Ackermann's formula - Wikipedia

    en.wikipedia.org/wiki/Ackermann's_Formula

    The matrices A, B, C, however, may represent physical parameters of a system that cannot be altered. Thus, one approach to this problem might be to create a feedback loop with a gain k that will feed the state variable x into the input u .

  7. Robotics Toolbox for MATLAB - Wikipedia

    en.wikipedia.org/wiki/Robotics_Toolbox_for_MATLAB

    The Robotics Toolbox for Python is a reimplementation of the Robotics Toolbox for MATLAB for Python 3. [7] [8] Its functionality is a superset of the Robotics Toolbox for MATLAB, the programming model is similar, and it supports additional methods to define a serial link manipulator including URDF and elementary transform sequences.

  8. Menter's Shear Stress Transport - Wikipedia

    en.wikipedia.org/wiki/Menter's_Shear_Stress...

    Menter's Shear Stress Transport turbulence model, or SST, is a widely used and robust two-equation eddy-viscosity turbulence model used in Computational Fluid Dynamics.The model combines the k-omega turbulence model and K-epsilon turbulence model such that the k-omega is used in the inner region of the boundary layer and switches to the k-epsilon in the free shear flow.

  9. Scilab - Wikipedia

    en.wikipedia.org/wiki/Scilab

    Scilab is a free and open-source, cross-platform numerical computational package and a high-level, numerically oriented programming language.It can be used for signal processing, statistical analysis, image enhancement, fluid dynamics simulations, numerical optimization, and modeling, simulation of explicit and implicit dynamical systems and (if the corresponding toolbox is installed) symbolic ...