Mesh generators | Triangulation (geometry) | Mesh generation | Computational fluid dynamics | Numerical differential equations | Numerical analysis | Mesh generation people | Geometric algorithms

Mesh generation

Mesh generation is the practice of creating a mesh, a subdivision of a continuous geometric space into discrete geometric and topological cells.Often these cells form a simplicial complex.Usually the cells partition the geometric input domain.Mesh cells are used as discrete local approximations of the larger domain. Meshes are created by computer algorithms, often with human guidance through a GUI , depending on the complexity of the domain and the type of mesh desired.A typical goal is to create a mesh that accurately captures the input domain geometry, with high-quality (well-shaped) cells, and without so many cells as to make subsequent calculations intractable.The mesh should also be fine (have small elements) in areas that are important for the subsequent calculations. Meshes are used for rendering to a computer screen and for physical simulation such as finite element analysis or computational fluid dynamics. Meshes are composed of simple cells like triangles because, e.g., we know how to perform operations such as finite element calculations (engineering) or ray tracing (computer graphics) on triangles, but we do not know how to perform these operations directly on complicated spaces and shapes such as a roadway bridge. We can simulate the strength of the bridge, or draw it on a computer screen, by performing calculations on each triangle and calculating the interactions between triangles. A major distinction is between structured and unstructured meshing. In structured meshing the mesh is a regular lattice, such as an array, with implied connectivity between elements. In unstructured meshing, elements may be connected to each other in irregular patterns, and more complicated domains can be captured. This page is primarily about unstructured meshes.While a mesh may be a triangulation, the process of meshing is distinguished from point set triangulation in that meshing includes the freedom to add vertices not present in the input. "Facetting" (triangulating) CAD models for drafting has the same freedom to add vertices, but the goal is to represent the shape accurately using as few triangles as possible and the shape of individual triangles is not important. Computer graphics renderings of textures and realistic lighting conditions use meshes instead. Many mesh generation software is coupled to a CAD system defining its input, and simulation software for taking its output. The input can vary greatly but common forms are Solid modeling, Geometric modeling, NURBS, B-rep, STL or a point cloud. (Wikipedia).

Mesh generation
Video thumbnail

Pseudorandom Number Generation and Stream Ciphers

Fundamental concepts of Pseudorandom Number Generation are discussed. Pseudorandom Number Generation using a Block Cipher is explained. Stream Cipher & RC4 are presented.

From playlist Network Security

Video thumbnail

PCB Wall

What to do with all those old PCBs from stuff you've taken apart...

From playlist Projects & Installations

Video thumbnail

The visual evolution of the Internet

The Internet has changed a lot over the past few decades. Here's a look at some of the ways the Web has evolved—from the first Web site to dial-up connections to modern day social networking sites.

From playlist The Internet

Video thumbnail

Awesome Number Pattern 1

Exploring an amazing pattern that forms when we multiply numbers built only with the one digit

From playlist Number Patterns

Video thumbnail

Lecture 2A: What is a "Mesh?" (Discrete Differential Geometry)

Full playlist: https://www.youtube.com/playlist?list=PL9_jI1bdZmz0hIrNCMQW1YmZysAiIYSSS For more information see http://geometry.cs.cmu.edu/ddg

From playlist Discrete Differential Geometry - CMU 15-458/858

Video thumbnail

1 Vectors

A short refresher on vectors. Before I introduce vector-based functions, it's important to look at vectors themselves and how they are represented in python™ and the IPython Notebook using SymPy.

From playlist Life Science Math: Vectors

Video thumbnail

Particle Physics 1: Introduction

Part 1 of a series: covering introduction to Quantum Field Theory, creation and annihilation operators, fields and particles.

From playlist Particle Physics

Video thumbnail

PDE Modeling: Live with the R&D team

Begins at 1:37 In this stream, Oliver Ruebenkoenig gives an overview of PDE modeling capabilities based on the Finite Element Method. The presentation will cover geometry generation, mesh generation, PDE model and boundary condition setup and solving the PDEs. Stay up-to-date on future

From playlist Live with the R&D Team

Video thumbnail

Live CEOing Ep 506: Design Review for Graphs, Geometry & Graphics

In this episode of Live CEOing, Stephen Wolfram discusses upcoming improvements and features to the Wolfram Language. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channel of Stephen Wolfram

From playlist Behind the Scenes in Real-Life Software Design

Video thumbnail

Create An Interactive Procedural Mesh In Unreal Engine | Session 04 | #gamedev

Don’t forget to subscribe! In this project series, you will learn to create an interactive procedural mesh in Unreal Engine. This series is a special guide that will teach you the basic and complete usage of the Unreal Engine. You will learn how you can create an interactive procedural

From playlist Create An Interactive Procedural Mesh In Unreal Engine

Video thumbnail

Collisionless Dynamics and Smoothed Particle Hydrodynamics, Part 5 - Volker Springel

Collisionless Dynamics and Smoothed Particle Hydrodynamics, Part 5 Volker Springel Max Planck Institute for Astrophysics July 23, 2009

From playlist PiTP 2009

Video thumbnail

A Laplacian for Nonmanifold Triangle Meshes - SGP 2020

Authors: Nicholas Sharp and Keenan Crane presented at SGP 2020 https://sgp2020.sites.uu.nl https://github.com/nmwsharp/nonmanifold-laplacian Abstract: We describe a discrete Laplacian suitable for any triangle mesh, including those that are nonmanifold or nonorientable (with or without b

From playlist Research

Video thumbnail

Xin Xing - Finite-size error and its correction in energy calculations for periodic systems

Recorded 02 May 2022. Xin Xing of the University of California, Berkeley, Mathematics, presents "Finite-size error and its correction in energy calculations for periodic systems" at IPAM's Large-Scale Certified Numerical Methods in Quantum Mechanics Workshop. Abstract: Despite decades of p

From playlist 2022 Large-Scale Certified Numerical Methods in Quantum Mechanics

Video thumbnail

SGP 2020 Graduate School: Geometric computing in geometry-central

This talk gives a basic introduction to geometry-central (http://geometry-central.net), a C++ library with data structures and algorithms for geometry processing. We cover the basic motivations and design of the library, as well as some examples of it in action. Part of the SGP 2020 Grad

From playlist Research

Video thumbnail

Lecture 11: Digital Geometry Processing (CMU 15-462/662)

Full playlist: https://www.youtube.com/playlist?list=PL9_jI1bdZmz2emSh0UQ5iOdT2xRHFHL7E Course information: http://15462.courses.cs.cmu.edu/

From playlist Computer Graphics (CMU 15-462/662)

Video thumbnail

Eigenvalues of Elliptical Operators over Arbitrary Regions

For the latest information, please visit: http://www.wolfram.com Speaker: Richard Gass Mathematica 10 introduces powerful functions for region-based computation. NDSolve solves PDEs over arbitrary regions, but current built-in methods cannot solve elliptical eigenvalue problems over arbi

From playlist Wolfram Technology Conference 2014

Video thumbnail

Create An Interactive Procedural Mesh In Unreal Engine | Session 07 | #gamedev

Don’t forget to subscribe! In this project series, you will learn to create an interactive procedural mesh in Unreal Engine. This series is a special guide that will teach you the basic and complete usage of the Unreal Engine. You will learn how you can create an interactive procedural

From playlist Create An Interactive Procedural Mesh In Unreal Engine

Video thumbnail

Concept of a vector

This shows an small game that illustrates the concept of a vector. The clip is from the book "Immersive Linear Algebra" at http://www.immersivemath.com

From playlist Chapter 2 - Vectors

Related pages

Curl (mathematics) | Hexahedron | Dual graph | Computational fluid dynamics | ANSA Pre-processor | Differential equation | Multigrid method | Parallel mesh generation | Jacobian matrix and determinant | Unstructured grid | Symposium on Computational Geometry | Hodge star operator | Boundary layer | String theory | Computational Geometry (journal) | CW complex | CGAL | Finite volume method | Regular grid | Point cloud | Three-dimensional space | Spatial twist continuum | Divergence | Laplace's equation | Flux | Polycube | Density | Solid modeling | Voronoi diagram | CD-adapco | Adaptive mesh refinement | Delaunay triangulation | Fortune's algorithm | Pyramid (geometry) | Simplex | TetGen | Tetrahedron | Polygon mesh | Triangulation (geometry) | Graph theory | Elliptic partial differential equation | Octree | Geometric modeling | Mathematics | Overflow (software) | Principles of grid generation | Prism (geometry) | Meshfree methods | MSC Software | Polygon | Polyhedron | Tessellation (computer graphics) | Orthogonality | Harmonic function | Grid classification | Numerical analysis | Tetragonal trapezohedron | Computational geometry | Gmsh | Hyperbolic partial differential equation | Poisson's equation | Lattice graph | Simplicial complex | Marching cubes | Stretched grid method | Types of mesh | Isogeometric analysis | Partial differential equation | Finite difference method