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TuxRiders @UC7tFIxB0O2Uhf9afEi_DISw@youtube.com

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TuxRiders is about helping you learn open-source scientific


16:45
Compiling and installing ParaView Plugins [On Demand 16]
15:52
Building ParaView from source codes [On Demand 15]
22:06
Parallel 3D transient heat diffusion using FreeFEM | Mini-Project 1
13:05
Generate multi-body multi-volume mesh geometries in SALOME with mesh refinement [On Demand 14]
19:17
Lattice Boltzmann simulation of multiphase flow in porous media using Palabos [On Demand 13]
19:15
Getting started with Palabos, parallel lattice Boltzmann simulation code [On Demand 12]
21:49
[FreeFEM 11] Domain decomposition and high-performance finite element simulations
40:39
[FreeFEM 10] Parallel programming and Message Passing Interface (MPI)
22:09
[FreeFEM 9] Solvers and preconditioners for the linear system of equations: PETSc, MUMPS, & UMFPACK
22:36
[FreeFEM 8] Regions and sub-domains to define variable material properties and initial conditions
18:06
[FreeFEM 7] Visualization and input/output (IO) operations in FreeFEM
20:41
[FreeFEM 6] Adaptive mesh generation in FreeFEM
21:14
[FreeFEM 5] Implementing weak formulation to solve partial differential equations in FreeFEM
22:41
[FreeFEM 4] Finite element spaces and function approximation in FreeFEM
24:00
[FreeFEM 3] 3D mesh generation and handling in FreeFEM
23:28
[FreeFEM 2] 2D mesh generation in FreeFEM
28:52
[FreeFEM 1] Introduction to FreeFEM: language syntax and environment
03:00
Parabolic PDEs and Reaction-Diffusion-Advection equation
04:26
Partial differential equations (PDEs) in engineering mathematics: introduction and classification
28:37
All you need to know from finite element theory | Part 3 | time dependent and nonlinear problems
27:00
All you need to know from finite element theory | Part 2 | variational and weak formulation of PDEs
41:46
All you need to know from finite element theory | Part 1 | approximation using basis functions
21:24
Using Matplotlib inside ParaView Python View to plot graphs, charts, and histograms [On Demand 11]
19:08
Developing FreeFEM plugins in C++ to link external codes [On Demand 10]
15:37
Making cool videos in ParaView by moving/rotating the camera and animating properties [On Demand 9]
27:36
[Finite Element 11] Introducing some of the most powerful and well-known open-source solvers
36:45
[Finite Element 10] Transient and steady-state heat transfer simulation in Code Aster & Salome-Meca
22:25
[Finite Element 9] Transient heat transfer simulation in OpenFOAM
24:10
[Environment Setup 15] Install OpenFOAM computational fluid dynamics (CFD) toolbox and run a sample
23:16
[Finite Element 8] Transient heat transfer (diffusion) simulation in Elmer Multiphysics
16:18
[Finite Element 7] Compare FreeFEM and FEniCS for the transient diffusion problem
20:57
[Finite Element 6] Transient heat transfer (diffusion) in FEniCS: weak formulation & implementation
17:44
[Finite Element 5] Installing FEniCS and importing the mesh into it
29:57
[Finite Element 4] Transient heat transfer (diffusion) in FreeFEM: weak formulation & implementation
11:53
[Finite Element 3] Prepare the geometry: Create the helical shape in FreeCAD and mesh it in SALOME
14:01
[Finite Element 2] Prepare the geometry: create a helical spring shape in SALOME and mesh it
10:24
[Finite Element 1] Transient heat transfer in helical heat exchangers: introducing the video series
25:55
Getting started with OpenLB, lattice Boltzmann simulation code [On Demand 8]
27:10
Use MSYS and MinGW to compile Linux programs for Windows: run CGAL natively on Windows [On Demand 7]
15:39
Build CGAL computational geometry programs on Windows using WSL [On Demand 6]
16:50
Install and use Windows Subsystem for Linux to run Linux programs [On Demand 5]
17:45
[Numerical Modeling 16] Iterative solution of differential equations using finite difference method
28:17
[Numerical Modeling 15] Finite difference solution of the diffusion equation
14:14
[Numerical Modeling 14] Stability condition and higher-order methods for numerical solution of PDEs
19:58
[Numerical Modeling 13] Finite difference method for solving partial differential equations (PDEs)
31:05
[Numerical Modeling 12] Finite difference method for (nonlinear) ordinary differential equations
12:10
[Numerical Modeling 11] Why numerical methods matter? Why we need them for computer simulations?
18:45
ParaView Glance, visualize your 3D data inside a web browser and on the web [On Demand 4]
09:38
ParaView map, resample, and combine different datasets [On Demand 3]
12:55
SALOME mesh generation and labeling for exporting it to other programs [On Demand 2]
05:35
Introducing “On Demand” series of videos [On Demand 1]
19:27
[Numerical Modeling 10] A short Git tutorial; introducing version control systems
19:42
[Numerical Modeling 9] High-performance computing and parallel programming in Python
12:35
[Numerical Modeling 8] Use SymPy for solving ordinary differential equations in Python
15:36
[Numerical Modeling 7] A quick look at SymPy for symbolic computation in Python
14:25
[Numerical Modeling 6] Essential Matplotlib, data plotting library for Python
15:37
[Numerical Modeling 5] SciPy in a nutshell, the library of scientific algorithms for Python
20:26
[Numerical Modeling 4] A short tutorial on NumPy, multi-dimensional arrays and matrices library
23:56
[Numerical Modeling 3] A quick overview of Python programming language
10:08
[Numerical Modeling 2] Introduction to Jupyter notebooks