Simplex noise is the result of an n-dimensional noise function comparable to Perlin noise ("classic" noise) but with fewer directional artifacts and, in higher dimensions, a lower computational overhead. Ken Perlin designed the algorithm in 2001 to address the limitations of his classic noise function, especially in higher dimensions. The advantages of simplex noise over Perlin noise: * Simplex noise has lower computational complexity and requires fewer multiplications. * Simplex noise scales to higher dimensions (4D, 5D) with much less computational cost: the complexity is for dimensions instead of the of classic noise. * Simplex noise has no noticeable directional artifacts (is visually isotropic), though noise generated for different dimensions is visually distinct (e.g. 2D noise has a different look than 2D slices of 3D noise, and it looks increasingly worse for higher dimensions). * Simplex noise has a well-defined and continuous gradient (almost) everywhere that can be computed quite cheaply. * Simplex noise is easy to implement in hardware. Whereas classical noise interpolates between the gradients at the surrounding hypergrid end points (i.e., northeast, northwest, southeast and southwest in 2D), simplex noise divides the space into simplices (i.e., -dimensional triangles). This reduces the number of data points. While a hypercube in dimensions has corners, a simplex in dimensions has only corners. The triangles are equilateral in 2D, but in higher dimensions the simplices are only approximately regular. For example, the tiling in the 3D case of the function is an orientation of the tetragonal disphenoid honeycomb. Simplex noise is useful for computer graphics applications, where noise is usually computed over 2, 3, 4, or possibly 5 dimensions. For higher dimensions, n-spheres around n-simplex corners are not densely enough packed, reducing the support of the function and making it zero in large portions of space. (Wikipedia).
I.7 : What is OpenSimplex Noise?
Simplex Noise (2001) is an improvement on "classic" Perlin noise (1983). I discuss a bit of the history of noise algorithms and show how to use the Java source code for Open Simplex Noise in Processing. 🎥Next Video: Random Walker Coding Challenge: https://youtu.be/l__fEY1xanY Links discu
From playlist 13: What is Perlin Noise?
Sound vs. Noise: What’s the Actual Difference? (Part 1 of 3)
Noise and sound are not the same thing… really, they aren’t! What exactly is noise? Part 2 of 3 - https://youtu.be/XhFhK97hrdY Part 3 of 3 - https://youtu.be/yTyYZFcxGGQ Read More: Signal-to-Noise Ratio and Why It Matters https://www.lifewire.com/signal-to-noise-ratio-3134701 “You
From playlist Seeker Plus
Warning: may cause headaches, nausea, abject terror, uncontrollable laughing. About shepard tones, in shepard tones. Soundtrack is free here: https://soundcloud.com/vihartvihart/shepard-tones-soundtrack This video is CC-by, feel free to re-use for any purpose with attribution.
From playlist Mathemusician Stuff
What is Sound? - Quickly Discover What Sound Really Is
What is Sound? This simple demonstration visually shows how sound waves are produced from a vibrating surface. A frequency generator is hooked up to a power amplifier, and the resultant signal is used to drive a loudspeaker. The signal is also sent to an oscilloscope. After listen
From playlist Physics Demonstrations
One of the loudest underwater sounds is made by an animal you wouldn’t expect
Here’s a hint: It has something to do with mating Keep reading: http://scim.ag/2CE1DuQ
From playlist Animals
Resonance and the Sounds of Music
Resonance and the Sounds of Music
From playlist 1 hour Special Talks
Jonathan defines what white noise actually is and how it's used to mask other annoying sounds. Learn more at HowStuffWorks.com: http://science.howstuffworks.com/question47.htm Share on Facebook: http://goo.gl/n7YNrZ Share on Twitter: http://goo.gl/Fq9InS Subscribe: http://goo.gl/ZYI7Gt V
From playlist Episodes hosted by Jonathan
Live Stream #181: Processing Library + Tic Tac Toe
To learn more about Brilliant, go to https://brilliant.org/CodingTrain and sign up for free. The first 200 people that go to that link will get 20% off the annual Premium subscription. 💻 https://thecodingtrain.com/CodingChallenges/ 💻 https://editor.p5js.org/codingtrain/sketches/ 🚂 Websit
From playlist Live Stream Archive
Live Stream #170: 4D OpenSimplexNoise Loops and ES6 Inheritance
In this live stream: Inheritance and polymorphism in ES6 JavaScript, and OpenSimplex Noise in Processing(Java) 💻 https://thecodingtrain.com/CodingChallenges/137-4d-opensimplex-noise-loop 🔗 Perlin Noise: https://en.wikipedia.org/wiki/Perlin_noise 🔗 http://web.archive.org/web/2016053012423
From playlist Live Stream Archive
Stuff They Don't Want You To Know - The Hum
In certain parts of the world, groups of people from all walks of life claim to hear a continuous hum. Yet not everyone can hear this noise, and there's no hard proof of its existence. Tune in and learn more about the mysterious hum in this episode. http://howstuffworks.com http://faceboo
From playlist Stuff They Don't Want You To Know
Coding in the Cabana 5: Marching Squares
In the fifth episode of Coding in the Cabana, Gloria Pickle and I investigate the Marching Squares algorithm and apply it to Open Simplex Noise in Processing. 💻 https://thecodingtrain.com/challenges/coding-in-the-cabana/005-marching-squares.html 🔗 Marching cubes: A high resolution 3D sur
From playlist Coding in the Cabana
Coding Challenge #137: 4D OpenSimplex Noise Loop
It's groundhog day on the coding train as I demonstrate another noise loop GIF technique, this time with 4D Open Simple Noise in Processing (Java). 💻 Code: https://thecodingtrain.com/CodingChallenges/137-4d-opensimplex-noise-loop Links discussed in this video: 🔗 OpenSimplexNoise.java by
From playlist 13: What is Perlin Noise?
Daniel Dadush: Probabilistic analysis of the simpler method and polytope diameter
In this talk, I will overview progress in our probabilistic understanding of the (shadow vertex) simplex method in three different settings: smoothed polytopes (whose data is randomly perturbed), well-conditioned polytopes (e.g., TU systems), and random polytopes with constraints drawn uni
From playlist Workshop: Tropical geometry and the geometry of linear programming
Show Me Some Science! Speed Of Sound
Sound is a wave which travels through the air at about 330 m/s. The Little Shop of Physics Crew dances to the music together. When spread out along the track, it takes about a third of a second for the sound to travel from the first person to the last. The crew is blindfolded, so there are
From playlist Show Me Some Science!
From playlist Contributed talks One World Symposium 2020
Yusu Wang (4/25/18): Graph reconstruction via discrete Morse theory
Graphs form one of the most important types of data in various applications across science and engineering. They could be geometric in nature, such as road networks in GIS, or relational and abstract, such as protein-protein interaction networks. A fundamental problem is to reconstruct a h
From playlist AATRN 2018
Lets Code A Voxel Game in C++ and OpenGL - World Generation I
Welcome back all!! In this video we explore how to use noise to create a nice little terrain generation thing ENJOY :) ========= SOURCE CODE: https://github.com/Hopson97/open-builder ========= RESOURCES: Height map image function - https://www.michaelfogleman.com/projects/hmm/ Unders
From playlist Creating MineCraft in C++ and OpenGL
Programming Perlin-like Noise (C++)
NOTE! This is an approximation of Perlin Noise! :-S Noise is at the root of most procedurally generated content. However, just choosing random numbers alone is insufficient. Perlin noise adds local coherence over different scales to generate natural looking formations, which can be furthe
From playlist Interesting Programming
Dmitriy Morozov (01/18/2023): Topological Optimization with Big Steps
Abstract: Using persistent homology to guide optimization has emerged as a novel application of topological data analysis. Existing methods treat persistence calculation as a black box and backpropagate gradients only onto the simplices involved in particular pairs. We show how the cycles
From playlist AATRN 2023