Coding theory | Information theory | Finite fields

Triangular network coding

In coding theory, triangular network coding (TNC) is a network coding based packet coding scheme introduced by .Previously, packet coding for network coding was done using linear network coding (LNC). The drawback of LNC over large finite field is that it resulted in high encoding and decoding computational complexity. While linear encoding and decoding over GF(2) alleviates the concern of high computational complexity, coding over GF(2) comes at the tradeoff cost of degrading throughput performance. Triangular network coding therefore essentially addresses the high encoding and decoding computational complexity without degrading the throughput performance, with code rate comparable to that of linear network coding. (Wikipedia).

Triangular network coding
Video thumbnail

Square, Cube & Triangular Numbers | Numbers | Maths | FuseSchool

In this video we are going to look at square, cube and triangular numbers, what they are, how they can be useful and some of the patterns they form CREDITS Animation & Design: Jean -Pierre Louw (Behance.net/Jean-Pierre_Louw) Narration: Dale Bennett Script: Joe Lewis VISIT US Website: www

From playlist MATHS: Numbers

Video thumbnail

Trigonometry 4 The Area of a Triangle

Various ways of using trigonometry to determine the area of a triangle.

From playlist Trigonometry

Video thumbnail

Odd Squares as Difference of Triangular Numbers (visual proof)

This is a short, animated visual proof demonstrating how to visualize odd squares as the difference of two triangular numbers. #mathshorts​ #mathvideo​ #math​ #numbertheory #mtbos​ #manim​ #animation​ #theorem​ #pww​ #proofwithoutwords​ #visualproof​ #proof​ #iteachmath #squares #triangula

From playlist Triangular Numbers

Video thumbnail

Trigonometry 2 The Trigonometric Functions

Meet the 6 main trigonometric functions of right triangles and some of their identities.

From playlist Trigonometry

Video thumbnail

Cell Learning Theory - Seminar 2 - On AlphaFold

This seminar series is about computation and learning in cell. In this seminar David Li talks about AlphaFold, a neural network engineered by DeepMind to predict folding of proteins. The webpage for this seminar is https://metauni.org/posts/events/seminar-clt. You can join this seminar

From playlist Metauni

Video thumbnail

Let's build GPT: from scratch, in code, spelled out.

We build a Generatively Pretrained Transformer (GPT), following the paper "Attention is All You Need" and OpenAI's GPT-2 / GPT-3. We talk about connections to ChatGPT, which has taken the world by storm. We watch GitHub Copilot, itself a GPT, help us write a GPT (meta :D!) . I recommend pe

From playlist Neural Networks: Zero to Hero

Video thumbnail

Topological Message Passing on GNN | SIMPLICIAL COMPLEXES on CW Networks #ai

We go from Message Passing GNN (MPGNN) to TOPOLOGICAL Message Passing on CW Networks: Lifting a Graph to a higher topological space allows for high-dimensional interactions (greater than 2) given our higher-dim topological spaces. Computational Graph Neural Networks increase its complexiti

From playlist Learn Graph Neural Networks: code, examples and theory

Video thumbnail

Triangle tilings

(5,3,2) triangle tiling: http://shpws.me/NW2E (7,3,2) triangle tiling (small): http://shpws.me/NW3A (6,3,2) triangle tiling: http://shpws.me/NW3H (4,3,2) triangle tiling: http://shpws.me/NW3K (3,3,2) triangle tiling: http://shpws.me/NW3J (4,4,2) triangle tiling: http://shpws.me/NW3M

From playlist 3D printing

Video thumbnail

Wei Li: "Decoding Quantum Magnetism Genome by Thermal Tensor Networks"

Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021 Workshop II: Tensor Network States and Applications "Decoding Quantum Magnetism Genome by Thermal Tensor Networks" Wei Li - Beihang University Abstract: To explore the intriguing quantum states like spin liqu

From playlist Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021

Video thumbnail

Mod-01 Lec-24 Tutorial 3

Elementary Numerical Analysis by Prof. Rekha P. Kulkarni,Department of Mathematics,IIT Bombay.For more details on NPTEL visit http://nptel.ac.in

From playlist NPTEL: Elementary Numerical Analysis | CosmoLearning Mathematics

Video thumbnail

Blowing up Transformer Decoder architecture

ABOUT ME ⭕ Subscribe: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1 📚 Medium Blog: https://medium.com/@dataemporium 💻 Github: https://github.com/ajhalthor 👔 LinkedIn: https://www.linkedin.com/in/ajay-halthor-477974bb/ RESOURCES [ 1 🔎] Blowing up the encoder archtecture: https:

From playlist Transformers from scratch

Video thumbnail

An Introduction to Tensor Renormalization Group by Daisuke Kadoh

PROGRAM NONPERTURBATIVE AND NUMERICAL APPROACHES TO QUANTUM GRAVITY, STRING THEORY AND HOLOGRAPHY (HYBRID) ORGANIZERS: David Berenstein (University of California, Santa Barbara, USA), Simon Catterall (Syracuse University, USA), Masanori Hanada (University of Surrey, UK), Anosh Joseph (II

From playlist NUMSTRING 2022

Video thumbnail

“Triangular” Dvoretzky matrices and online coding by Piyush Srivastava

PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava DATE & TIME: 05 August 2019 to 17 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in resear

From playlist Advances in Applied Probability 2019

Video thumbnail

Coding Challenge #158: Shape Classifier Neural Network with ml5.js

In this challenge, I demonstrate the entire process of training and deploying a machine learning classification model in JavaScript -- data collection, model training, and prediction! 💻 Code: https://thecodingtrain.com/CodingChallenges/158-shape-classifier.html 🎥 ml5.js: DoodleNet: https:

From playlist Beginners Guide to Machine Learning in JavaScript

Video thumbnail

11/21/2019, Rémi Imbach

Rémi Imbach, New York University Title: Practical Advances in Complex Roots Clustering Abstract: We are interested in computing clusters of complex roots of polynomials and square polynomials systems. Root clustering differs of root isolation in that it can be performed softly, i.e. avoi

From playlist Fall 2019 Symbolic-Numeric Computing Seminar

Video thumbnail

Determining if a set of points makes a parallelogram or not

👉 Learn how to determine the figure given four points. A quadrilateral is a polygon with four sides. Some of the types of quadrilaterals are: parallelogram, square, rectangle, rhombus, kite, trapezoid, etc. Each of the types of quadrilateral has its properties. Given four points that repr

From playlist Quadrilaterals on a Coordinate Plane

Video thumbnail

Learn how to determine the surface area of a triangular pyramid

👉 Learn how to find the volume and the surface area of a pyramid. A pyramid is a 3-dimensional object having a polygon as its base and triangular surfaces converging at a single point called its apex. A pyramid derives its name from the shape of its base, i.e. a pyramid with a triangular b

From playlist Volume and Surface Area

Video thumbnail

Bourbaki - 21/03/15 - 2/3 - Sophie GRIVAUX

Espaces de Banach possédant très peu d'opérateurs [d'après S. Argyros et R. Haydon]

From playlist Bourbaki - 21 mars 2015

Video thumbnail

Linear Algebra 14TBD: The Determinant of a Triangular Matrix

https://bit.ly/PavelPatreon https://lem.ma/LA - Linear Algebra on Lemma http://bit.ly/ITCYTNew - Dr. Grinfeld's Tensor Calculus textbook https://lem.ma/prep - Complete SAT Math Prep

From playlist Part 2 Linear Algebra: An In-Depth Course with a Focus on Applications

Related pages

Big O notation | Coding theory | GF(2) | Triangular matrix | Finite field | Gaussian elimination | Code rate | Exclusive or