Q-analogs | Theta functions

Q-theta function

In mathematics, the q-theta function (or modified Jacobi theta function) is a type of q-series which is used to define elliptic hypergeometric series. It is given by where one takes 0 ≤ |q| < 1. It obeys the identities It may also be expressed as: where is the q-Pochhammer symbol. (Wikipedia).

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Spherical Harmonics Example

We calculate the functional form of some example spherical harmonics, and discuss their angular dependence.

From playlist Quantum Mechanics Uploads

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Etale Theta - Part 02 - Properties of the Arithmetic Jacobi Theta Function

In this video we talk about Proposition 1.4 of Etale Theta. This came out of conversations with Emmanuel Lepage. Formal schemes in the Stacks Project: http://stacks.math.columbia.edu/tag/0AIL

From playlist Etale Theta

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What are the Inverse Trigonometric functions and what do they mean?

👉 Learn how to evaluate inverse trigonometric functions. The inverse trigonometric functions are used to obtain theta, the angle which yielded the trigonometric function value. It is usually helpful to use the calculator to calculate the inverse trigonometric functions, especially for non-

From playlist Evaluate Inverse Trigonometric Functions

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Bias in Machine Learning

#machinelearning #shorts

From playlist Quick Machine Learning Concepts

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Calculus - Find the limit of a function using epsilon and delta

This video shows how to use epsilon and delta to prove that the limit of a function is a certain value. This particular video uses a linear function to highlight the process and make it easier to understand. Later videos take care of more complicated functions and using epsilon and delta

From playlist Calculus

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PreCalculus - Trigonometry (6 of 54) The Trigonometry Function: Sine Explained

Visit http://ilectureonline.com for more math and science lectures! In this video I will explain the trigonometry function: What is the sine of an angle?

From playlist Michel van Biezen: Pre-Calculus 6-9 - Trigonometry Review

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Overview of Deep Reinforcement Learning Methods

This video gives an overview of methods for deep reinforcement learning, including deep Q-learning, actor-critic methods, deep policy networks, and policy gradient optimization algorithms. This is a lecture in a series on reinforcement learning, following the new Chapter 11 from the 2nd

From playlist Reinforcement Learning

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Supersymmetric gauge theories (Lecture - 02) by Shiraz Minwalla

Kavli Asian Winter School (KAWS) on Strings, Particles and Cosmology 2018 DATE:08 January 2018 to 18 January 2018 VENUE:Ramanujan Lecture Hall, ICTS Bangalore The Kavli Asian Winter School (KAWS) on Strings, Particles and Cosmology is a pan-Asian collaborative effort of high energy theori

From playlist Kavli Asian Winter School (KAWS) on Strings, Particles and Cosmology 2018

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(ML 16.12) The likelihood is nondecreasing under EM (part 2)

We show that in EM, the likelihood of the data (under the sequence of estimates produced by the algorithm) is nondecreasing.

From playlist Machine Learning

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(ML 16.11) The likelihood is nondecreasing under EM (part 1)

We show that in EM, the likelihood of the data (under the sequence of estimates produced by the algorithm) is nondecreasing.

From playlist Machine Learning

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DeepMind x UCL RL Lecture Series - Theoretical Fund. of Dynamic Programming Algorithms [4/13]

Research Scientist Diana Borsa explores dynamic programming algorithms as contraction mappings, looking at when and how they converge to the right solutions. Slides: https://dpmd.ai/dynamicprogramming Full video lecture series: https://dpmd.ai/DeepMindxUCL21

From playlist Learning resources

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Computing Euler Angles: Tracking Attitude Using Quaternions

In this video we continue our discussion on how to track the attitude of a body in space using quaternions. The quaternion method is similar to the Euler Kinematical Equations and Poisson’s Kinematical Equations in that it consumes rate gyro information to compute Euler angles. However,

From playlist Flight Mechanics

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Stanford CS229: Machine Learning | Summer 2019 | Lecture 20 - Variational Autoencoder

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Anand Avati Computer Science, PhD To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-summer2019.html

From playlist Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)

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Lecture 4 | Modern Physics: Classical Mechanics (Stanford)

Lecture 4 of Leonard Susskind's Modern Physics course concentrating on Classical Mechanics. Recorded November 5, 2007 at Stanford University. This Stanford Continuing Studies course is the first of a six-quarter sequence of classes exploring the essential theoretical foundations of mod

From playlist Course | Modern Physics: Classical Mechanics

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Stanford CS229: Machine Learning | Summer 2019 | Lecture 16 - K-means, GMM, and EM

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3njDenA Anand Avati Computer Science, PhD To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-summer2019.html

From playlist Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)

Related pages

Ramanujan theta function | Theta function | Mathematics | Elliptic hypergeometric series | Q-Pochhammer symbol