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  2. Stanford Research Institute Problem Solver - Wikipedia

    en.wikipedia.org/wiki/Stanford_Research...

    The Stanford Research Institute Problem Solver, known by its acronym STRIPS, is an automated planner developed by Richard Fikes and Nils Nilsson in 1971 at SRI International. [1] The same name was later used to refer to the formal language of the inputs to this planner. This language is the base for most of the languages for expressing ...

  3. List of finite element software packages - Wikipedia

    en.wikipedia.org/wiki/List_of_finite_element...

    GOMA is an open-source, parallel, and scalable multiphysics software package for modeling and simulation of real-life physical processes, with a basis in computational fluid dynamics for problems with evolving geometry. A generic finite element library written in C++ with interfaces for Python, Matlab and Scilab.

  4. Computational physics - Wikipedia

    en.wikipedia.org/wiki/Computational_physics

    t. e. Computational physics is the study and implementation of numerical analysis to solve problems in physics. [1] Historically, computational physics was the first application of modern computers in science, and is now a subset of computational science. It is sometimes regarded as a subdiscipline (or offshoot) of theoretical physics, but ...

  5. Monte Carlo method - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_method

    The approximation of a normal distribution with a Monte Carlo method. Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle.

  6. To Improve Cognitive Function Try Aerobics - Healthline

    www.healthline.com/health-news/want-to-be-a...

    A new study found that aerobic exercise helped improve cognitive function in young and middle-aged people. The researchers found the study participants' problem-solving skills improved after they ...

  7. Physics-informed neural networks - Wikipedia

    en.wikipedia.org/wiki/Physics-informed_neural...

    Physics-informed neural networks for solving Navier–Stokes equations. Physics-informed neural networks (PINNs), also referred to as Theory-Trained Neural Networks (TTNs), are a type of universal function approximators that can embed the knowledge of any physical laws that govern a given data-set in the learning process, and can be described by partial differential equations (PDEs).They ...

  8. Conway's Game of Life - Wikipedia

    en.wikipedia.org/wiki/Conway's_Game_of_Life

    Conway's Game of Life. The Game of Life, also known simply as Life, is a cellular automaton devised by the British mathematician John Horton Conway in 1970. [1] It is a zero-player game, [2] [3] meaning that its evolution is determined by its initial state, requiring no further input.

  9. Smoothed-particle hydrodynamics - Wikipedia

    en.wikipedia.org/wiki/Smoothed-particle...

    See [1] for similar simulations. Smoothed-particle hydrodynamics ( SPH) is a computational method used for simulating the mechanics of continuum media, such as solid mechanics and fluid flows. It was developed by Gingold and Monaghan [2] and Lucy [3] in 1977, initially for astrophysical problems. It has been used in many fields of research ...

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