Permutation patterns

Layered permutation

In the mathematics of permutations, a layered permutation is a permutation that reverses contiguous blocks of elements. Equivalently, it is the direct sum of decreasing permutations. One of the earlier works establishing the significance of layered permutations was , which established the Stanley–Wilf conjecture for classes of permutations forbidding a layered permutation, before the conjecture was proven more generally. (Wikipedia).

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301.5C Definition and "Stack Notation" for Permutations

What are permutations? They're *bijective functions* from a finite set to itself. They form a group under function composition, and we use "stack notation" to denote them in this video.

From playlist Modern Algebra - Chapter 16 (permutations)

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Ex: Evaluate a Combination and a Permutation - (n,r)

This video explains how to evaluate a combination and a permutation with the same value of n and r. Site: http://mathispower4u.com

From playlist Permutations and Combinations

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Chapter 16 - Permutations

This project was created with Explain Everything™ Interactive Whiteboard for iPad.

From playlist Modern Algebra - Chapter 16 (permutations)

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Ex: Evaluate a Combination and a Permutation - (n,1)

This video explains how to evaluate a combination and a permutation with the same value of n and r = 1. Site: http://mathispower4u.com

From playlist Permutations and Combinations

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Permutation matrices | Lecture 9 | Matrix Algebra for Engineers

What is a permutation matrix? Define 2x2 and 3x3 permutation matrices. Join me on Coursera: https://www.coursera.org/learn/matrix-algebra-engineers Lecture notes at http://www.math.ust.hk/~machas/matrix-algebra-for-engineers.pdf Subscribe to my channel: http://www.youtube.com/user/jch

From playlist Matrix Algebra for Engineers

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Percolation

Bond percolation on a square lattice. Each edge of the lattice is open with probability p, independently of all others. p is varied from 0 to 1. For more details on the simulations, see http://www.univ-orleans.fr/mapmo/membres/berglund/ressim.html

From playlist Percolation

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Ex 2: Determine the Number of Permutations With Repeated Items

This video explains how to determine the number of permutations when there are indistinguishable or repeated items. Site: http://mathispower4u.com

From playlist Permutations and Combinations

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Permutation Groups and Symmetric Groups | Abstract Algebra

We introduce permutation groups and symmetric groups. We cover some permutation notation, composition of permutations, composition of functions in general, and prove that the permutations of a set make a group (with certain details omitted). #abstractalgebra #grouptheory We will see the

From playlist Abstract Algebra

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PERMUTATION | PERMUTATION SERIES | CREATA CLASSES

This is the 3rd video under the PERMUTATION series. This video covers the concept of Permutation in full detail using Animation & Visual Tools. Visit our website: https://creataclasses.com/ For a full-length course on PERMUTATION, COMBINATION & PROBABILITY: https://creataclasses.com/cou

From playlist PERMUTATION

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AMMI Course "Geometric Deep Learning" - Lecture 5 (Graphs & Sets I) - Petar Veličković

Video recording of the course "Geometric Deep Learning" taught in the African Master in Machine Intelligence in July-August 2021 by Michael Bronstein (Imperial College/Twitter), Joan Bruna (NYU), Taco Cohen (Qualcomm), and Petar Veličković (DeepMind) Lecture 5: Learning on sets • Permutat

From playlist AMMI Geometric Deep Learning Course - First Edition (2021)

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Alejandro Morales: "Asymptotics of principal evaluations of Schubert polynomials"

Asymptotic Algebraic Combinatorics 2020 "Asymptotics of principal evaluations of Schubert polynomials" Alejandro Morales - University of California, Los Angeles (UCLA) Abstract: Denote by u(n) the largest principal specialization of the Schubert polynomial of a permutation of size n. Sta

From playlist Asymptotic Algebraic Combinatorics 2020

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AMMI 2022 Course "Geometric Deep Learning" - Lecture 5 (Graphs & Sets) - Petar Veličković

Video recording of the course "Geometric Deep Learning" taught in the African Master in Machine Intelligence in July 2022 by Michael Bronstein (Oxford), Joan Bruna (NYU), Taco Cohen (Qualcomm), and Petar Veličković (DeepMind) Lecture 5: Learning on sets • Permutations • Permutation invari

From playlist AMMI Geometric Deep Learning Course - Second Edition (2022)

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Stanley-Wilf limits are typically exponential - Jacob Fox

Jacob Fox Massachusetts Institute of Technology October 7, 2013 For a permutation p, let Sn(p) be the number of permutations on n letters avoiding p. Stanley and Wilf conjectured that, for each permutation p, Sn(p)1/n tends to a finite limit L(p). Marcus and Tardos proved the Stanley-Wilf

From playlist Mathematics

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DETR: End-to-End Object Detection with Transformers | Paper Explained

❤️ Become The AI Epiphany Patreon ❤️ ► https://www.patreon.com/theaiepiphany In this video I cover DETR, an end-to-end object detection pipeline with transformers. The main 2 ideas are: * Using transformers instead of specialized vision architectures * Using Hungarian matching and loss t

From playlist Computer Vision

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The Tame Algebra - Yuval Flicker

Yuval Flicker The Ohio State University December 7, 2009 For more videos, visit http://video.ias.edu

From playlist Mathematics

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Soledad Villar: "Graph neural networks for combinatorial optimization problems"

Machine Learning for Physics and the Physics of Learning 2019 Workshop IV: Using Physical Insights for Machine Learning "Graph neural networks for combinatorial optimization problems" Soledad Villar - New York University Abstract: Graph neural networks are natural objects to express fu

From playlist Machine Learning for Physics and the Physics of Learning 2019

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Permutation-based statistics

Introduction to non-parametric permutation testing, and implementation in a within-subjects (cross-trial) analysis. The video uses files you can download from https://github.com/mikexcohen/ANTS_youtube_videos For more online courses about programming, data analysis, linear algebra, and s

From playlist OLD ANTS #8) Statistics

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GraphSAGE to GraphBERT - Theory of Graph Neural Networks

You start w/ differentiable aggregator functions of GraphSAGE to permutation invariance of graphs, plus a mathematical presentation of convolutional, attentional and message passing Neural Networks. Resulting in Transformers applied on Graphs, via Laplacian EigenVectors as positional enco

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

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PERMUTATION: CLUBBING OF ITEMS | PERMUTATION SERIES | CREATA CLASSES

This is the 5th video under the PERMUTATION series. This video covers the concept of Permutation of Clubbing of objects or items in full detail using Animation & Visual Tools. Visit our website: https://creataclasses.com/ For a full-length course on PERMUTATION, COMBINATION & PROBABILIT

From playlist PERMUTATION

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Kaggle Reading Group: XLNet (Part 2) | Kaggle

This week we're starting a new paper in the Kaggle reading group: XLNet: Generalized Autoregressive Pretraining for Language Understanding (Yang et al, unpublished). You can read the paper here: https://arxiv.org/abs/1906.08237 SUBSCRIBE: https://www.youtube.com/c/kaggle?sub_... About K

From playlist Kaggle Reading Group | Kaggle

Related pages

Permutation | Superpattern | Stanley–Wilf conjecture | Skew and direct sums of permutations | Separable permutation | Sorting number | Permutation pattern | Insertion sort | Wilf equivalence | Involution (mathematics) | Stack-sortable permutation