amnesia42

amnesia42's Stars

• frederic-santos/taoanalysissolutions

  Propositions of solutions to the exercises from Terence Tao's textbooks, Analysis I & II. Mirrored from https://gitlab.com/f-santos/taoanalysissolutions

  Language:TeX515

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python23.2k4.3k

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python61.4k10.9k

• saralenzi/rheoConvective

  Large time-step transient solver for incompressible, convective flow, using the PIMPLE (merged PISO-SIMPLE) algorithm. Boussinesq approximation is used. Author Sara Lenzi Written on the basis of convectivePrInf adding a (T,p) dependent viscosity .

  Language:C++1

• Ali-Zolfaghari/Lid-driven_Cavity_SIMPLE

  The lid-driven cavity is a well-known benchmark problem for viscous incompressible fluid flow. We are dealing with a square cavity consisting of three rigid walls with no-slip conditions and a lid moving with a tangential unit velocity. The lower left corner has a reference static pressure of 0. In computational fluid dynamics (CFD), the SIMPLE algorithm is a widely used numerical procedure to solve the Navier–Stokes equations. SIMPLE is an acronym for Semi-Implicit Method for Pressure Linked Equations. The algorithm is iterative. The basic steps in the solution update are as follows: Set the boundary conditions. Compute the gradients of velocity and pressure. Solve the discretized momentum equation to compute the intermediate velocity field. Compute the uncorrected mass fluxes at faces. Solve the pressure correction equation to produce cell values of the pressure correction. Update the pressure field: where urf is the under-relaxation factor for pressure. Update the boundary pressure corrections. Correct the face mass fluxes. Correct the cell velocities by the gradient of the pressure corrections and the vector of central coefficients for the discretized linear system representing the velocity equation and Vol is the cell volume. Update density due to pressure changes.

  Language:MATLAB62

• ztdepztdep/SIMPLE-_Collocated_2d_Cpp

  SIMPLE algorithm for incompressible flow with collocated grid system

  Language:C++2

• sumeetsa/CFM

  INCOMPRESSIBLE FLOW IN LID DRIVEN CAVITY FLOW USING SEMI IMPICIT METHOD FOR PRESSURE CORRECTION

  4

• ztdepztdep/SIMPLE-2D

  SIMPLE algorithm for the computation of incompressible flow

  Language:Fortran3

• huangmingchuan/Cpp_Primer_Answers

  《C++ Primer》第五版中文版习题答案

  Language:C++2.8k797

• PKUFlyingPig/cs-self-learning

  计算机自学指南

  Language:HTML55.6k6.7k

• taichi-dev/taichi

  Productive, portable, and performant GPU programming in Python.

  Language:C++25.4k2.3k

• portfoliocourses/c-example-code

  C Programming Language Example Code

  Language:C308118

• hyper0x/Programs.jl

  The examples for book `Julia Programming Basics`.

  Language:Julia225

• Roger-luo/Brochure.jl

  Julia编程指南

  Language:Julia27841

• johnnychen94/Julia_and_its_applications

  2021 年《Julia 语言及其应用》系列讲座的材料

  Language:Jupyter Notebook759

• hyper0x/JuliaBasics

  The open source version of book `Julia Programming Basics`

  47776

• esarradj/NumericalAcoustics

  Language:Jupyter Notebook31

• kashefy/mi1notes

  My notes for Prof. Klaus Obermayer's "Machine Intelligence 1 - Supervised Learning" course at the TU Berlin

  Language:TeX3010

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

  Language:HTML17.3k3.6k

• nndl/solutions

  《神经网络与深度学习》课后习题答案-分享讨论

  69579

• JY-112553/machine-learning

  Andrew Ng's machine learning programming assignments on Coursera

  Language:MATLAB11151