Orthogonal polynomials | Polynomials | Special hypergeometric functions

Laguerre polynomials

In mathematics, the Laguerre polynomials, named after Edmond Laguerre (1834–1886), are solutions of Laguerre's equation: which is a second-order linear differential equation. This equation has nonsingular solutions only if n is a non-negative integer. Sometimes the name Laguerre polynomials is used for solutions of where n is still a non-negative integer.Then they are also named generalized Laguerre polynomials, as will be done here (alternatively associated Laguerre polynomials or, rarely, Sonine polynomials, after their inventor Nikolay Yakovlevich Sonin). More generally, a Laguerre function is a solution when n is not necessarily a non-negative integer. The Laguerre polynomials are also used for Gaussian quadrature to numerically compute integrals of the form These polynomials, usually denoted L0, L1, …, are a polynomial sequence which may be defined by the Rodrigues formula, reducing to the closed form of a following section. They are orthogonal polynomials with respect to an inner product The sequence of Laguerre polynomials n! Ln is a Sheffer sequence, The rook polynomials in combinatorics are more or less the same as Laguerre polynomials, up to elementary changes of variables. Further see the Tricomi–Carlitz polynomials. The Laguerre polynomials arise in quantum mechanics, in the radial part of the solution of the Schrödinger equation for a one-electron atom. They also describe the static Wigner functions of oscillator systems in quantum mechanics in phase space. They further enter in the quantum mechanics of the Morse potential and of the 3D isotropic harmonic oscillator. Physicists sometimes use a definition for the Laguerre polynomials that is larger by a factor of n! than the definition used here. (Likewise, some physicists may use somewhat different definitions of the so-called associated Laguerre polynomials.) (Wikipedia).

Laguerre polynomials
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Laguerre's Method

Laguerre's method for finding real and complex roots of polynomials. Includes history, derivation, examples, and discussion of the order of convergence as well as visualizations of convergence behavior. Example code available on github https://www.github.com/osveliz/numerical-veliz Chapte

From playlist Root Finding

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Lagrange Polynomials

Lagrange Polynomials for function approximation including simple examples. Chapters 0:00 Intro 0:08 Lagrange Polynomials 0:51 Visualizing L2 1:00 Numeric Example 1:11 Example Visualized 1:27 Why Lagrange Works 1:47 Lagrange Accuracy 2:12 Error 2:59 Error Visualized 3:20 Error Bounds 4:08

From playlist Numerical Methods

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A09 The Hamiltonian

Moving on from Lagrange's equation, I show you how to derive Hamilton's equation.

From playlist Physics ONE

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Ch04n2: Integrals over Infinite Intervals, Gauss Laguerre, Gauss Hermite

Integrals over Infinite Intervals. Gauss Laguerre, Gauss Hermite Numerical Computation, chapter 4, additional video no 2. To be viewed after the video ch04n1. Wen Shen, Penn State University, 2018.

From playlist CMPSC/MATH 451 Videos. Wen Shen, Penn State University

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Calculus BC - Unit 5 Lesson 2: Lagrange Error Bound

Calculus BC - Taylor's Remainder Theorem and the Lagrange Error Bound

From playlist AP Calculus BC

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Number Theory | Lagrange's Theorem of Polynomials

We prove Lagrange's Theorem of Polynomials which is related to the number of solutions to polynomial congruences modulo a prime.

From playlist Number Theory

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Aberth-Ehrlich Method

The Aberth-Ehrlich Method for solving all roots of a polynomial simultaneously including history, methodology, examples, and order as well as comparison to Durand-Kerner. Example code github: http://github.com/osveliz/numerical-veliz Chapters 0:00 Intro 0:19 History 0:41 Methodology 0:59

From playlist Root Finding

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Lagrange Multipliers Maximum of f(x, y, z) = xyz subject to x + y + z - 3 = 0

Lagrange Multipliers Maximum of f(x, y, z) = xyz subject to x + y + z - 3 = 0

From playlist Calculus 3

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Halley's Method

Halley's Method (the method of tangent hyperbolas) for finding roots including history, derivation, examples, and fractals. Also discusses Taylor's Theorem relating to Halley's Method as well as Halley's Comet. Sample code and images available on GitHub https://www.github.com/osveliz/numer

From playlist Root Finding

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Multivariable Calculus | Lagrange multipliers

We give a description of the method of Lagrange multipliers and provide some examples -- including the arithmetic/geometric mean inequality. http://www.michael-penn.net http://www.randolphcollege.edu/mathematics/

From playlist Multivariable Calculus

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Lagrange Multipiers: Find the Max and Min of a Function of Two Variables

This video explains how to use Lagrange Multipliers to maximum and minimum a function under a given constraint. The results are shown in using level curves. http://mathispower4u.com

From playlist Lagrange Multipliers

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Energy levels and diagram for hydrogen

MIT 8.04 Quantum Physics I, Spring 2016 View the complete course: http://ocw.mit.edu/8-04S16 Instructor: Barton Zwiebach License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 8.04 Quantum Physics I, Spring 2016

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Horner's Method

Horner's Method (Ruffini-Horner Scheme) for evaluating polynomials including a brief history, examples, Ruffini's Rule with derivatives, and root finding using Newton-Horner. Example code on GitHub https://github.com/osveliz/numerical-veliz Chapters 0:00 Intro 0:11 - History 1:33 - TLDR 1

From playlist Root Finding

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Gaussian Quadrature | Lecture 40 | Numerical Methods for Engineers

An explanation of Gaussian quadrature. An example of how to calculate the weights and nodes for two-point Legendre-Gauss quadrature. Join me on Coursera: https://www.coursera.org/learn/numerical-methods-engineers Lecture notes at http://www.math.ust.hk/~machas/numerical-methods-for-engi

From playlist Numerical Methods for Engineers

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Householder's Method

Householder's Method for finding roots of equations including history, derivation, examples, and fractals. Example code is available on GitHub https://github.com/osveliz/numerical-veliz Chapters 0:00 Intro 0:25 Derivation 1:58 History 2:34 Householder's Method 4:07 Householder's Method Ex

From playlist Root Finding

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Exact solution of a left-permeable open ASEP by Arvind Ayyer

Indian Statistical Physics Community Meeting 2018 DATE:16 February 2018 to 18 February 2018 VENUE:Ramanujan Lecture Hall, ICTS Bangalore This is an annual discussion meeting of the Indian statistical physics community which is attended by scientists, postdoctoral fellows, and graduate s

From playlist Indian Statistical Physics Community Meeting 2018

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Lagrange multipliers example

Download the free PDF from http://tinyurl.com/EngMathYT This video shows how to apply the method of Lagrange multipliers to a max/min problem. Such ideas are seen in university mathematics.

From playlist Lagrange multipliers

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Maximize a Function of Two Variable Under a Constraint Using Lagrange Multipliers

This video explains how to use Lagrange Multipliers to maximize a function under a given constraint. The results are shown in 3D.

From playlist Lagrange Multipliers

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Sparsification of graphs and matrices - Daniel Spielman

Daniel Spielman Yale University November 3, 2014 Random graphs and expander graphs can be viewed as sparse approximations of complete graphs, with Ramanujan expanders providing the best possible approximations. We formalize this notion of approximation and ask how well an arbitrary graph

From playlist Mathematics

Related pages

Tricomi–Carlitz polynomials | Confluent hypergeometric function | Schrödinger equation | Quantum harmonic oscillator | Coefficient | Bessel polynomials | Bessel function | Denisyuk polynomials | Gaussian quadrature | Antiderivative | Nikolay Yakovlevich Sonin | Monomial | Turán's inequalities | Charlier polynomials | Sheffer sequence | Angelescu polynomials | Hypergeometric function | Hydrogen atom | Rook polynomial | Polynomial sequence | Generalized hypergeometric function | Binomial coefficient | Mathematics | Sturm–Liouville theory | Mehler kernel | Root of a function | Real number | Partial fraction decomposition | Incomplete gamma function | Constant term | Morse potential | Integral | Hilbert space | Interval (mathematics) | Lp space | Orthogonal polynomials | Christoffel–Darboux formula | Multiplication theorem | Linear differential equation | Generating function