Generalization of Path Integration to a Complex Time-Slicing Index
via YouTube Capture.
Julian von Abele
Physics X: Complex Geometry (Towards Calabi-Yaus)
Lecture from an informal Spring 2019 seminar course on 10 topics chosen by the students. You can follow along at: ...
Alex Flournoy
Complex Analysis (MTH-CA) Lecture 1
MATHEMATICS Complex Analysis (MTH-CA) Z. Sjöström Dyrefelt MTH-CA_L01.mp4.
ICTP Postgraduate Diploma Programme
Complex variables and analysis: Examples of using Euler identity
Video series introducing the basic ideas behind complex numbers and analysis. Some excellent references are: (1) Feynman lecture on Physics: R.P. Feynman ...
Nitin Upadhyaya
Quantum Mathematics and the Fate of Space, Time and Matter - Robbert Dijkgraaf
The elementary particles that make up the bizarre quantum world not only represents a more fundamental description of nature, they also inspires a new realm ...
Stanford
Generalized Uncertainty Principle
We do a simple derivation of the Generalized Uncertainty Principle, and obtain the traditional Heisenberg position-momentum uncertainty principle as a special ...
Dr. Underwood's Physics YouTube Page
5. Beat Phenomena
MIT 8.03SC Physics III: Vibrations and Waves, Fall 2016 View the complete course: https://ocw.mit.edu/8-03SCF16 Instructor: Boleslaw Wyslouch Prof. Wyslouch ...
MIT OpenCourseWare
Applications of the theory of the ̄∂ equation (Lecture 2) by Vamsi Pingali
PROGRAM CAUCHY-RIEMANN EQUATIONS IN HIGHER DIMENSIONS ORGANIZERS: Sivaguru, Diganta Borah and Debraj Chakrabarti DATE: 15 July 2019 ...
International Centre for Theoretical Sciences
Lecture - 2 Introduction to linear vector spaces
Lecture Series on Quantum Physics by Prof.V.Balakrishnan, Department of Physics, IIT Madras. For more details on NPTEL visit http://nptel.ac.in.
nptelhrd
Understanding Deep Neural Networks: From Generalization to Interpretability - Gitta Kutyniok
Seminar on Theoretical Machine Learning Topic: Understanding Deep Neural Networks: From Generalization to Interpretability Speaker: Gitta Kutyniok ...
Institute for Advanced Study
Complex variables and analysis: Cauchy Riemann Equation for Z and its conjugate
Video series introducing the basic ideas behind complex numbers and analysis. Some excellent references are: (1) Feynman lecture on Physics: R.P. Feynman ...
Nitin Upadhyaya
Connecting physics and deep learning to generalize medical image analysis tasks
Abstract: Magnetic Resonance Imaging (MRI) can have multiple flavours: T1, T2, proton density, fMRI, diffusion MRI, etc. These so-called "Quantitative MRI" ...
PyData Montreal
16. Kinematic Approach to Finding Generalized Forces
MIT 2.003SC Engineering Dynamics, Fall 2011 View the complete course: http://ocw.mit.edu/2-003SCF11 Instructor: J. Kim Vandiver License: Creative ...
MIT OpenCourseWare
13. LCR Circuits—AC Voltage
For more information about Professor Shankar's book based on the lectures from this course, Fundamentals of Physics: Mechanics, Relativity, and ...
YaleCourses
Mod-03 Lec-07 Linear response; dispersion relations (Part I)
Selected Topics in Mathematical Physics by Prof. V. Balakrishnan,Department of Physics,IIT Madras.For more details on NPTEL visit http://nptel.ac.in.
nptelhrd
Complex geometry of Teichmuller domains (Lecture 1) by Harish Seshadri
PROGRAM CAUCHY-RIEMANN EQUATIONS IN HIGHER DIMENSIONS ORGANIZERS: Sivaguru, Diganta Borah and Debraj Chakrabarti DATE: 15 July 2019 ...
International Centre for Theoretical Sciences
Real life example of Eigen values and Eigen vectors
If you have been wondering why on earth did we learn Eigen values and Eigen vectors, here is one example out of many :) Eigen values / vectors finds ...
Solid Mechanics Classroom
Mod-01 Lec-07 Lagrangian formalism
Lecture Series on Classical Physics by Prof.V.Balakrishnan, Department of Physics, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in.
nptelhrd
Complex variables and analysis: The complex exponential and Euler's Identity
Video series introducing the basic ideas behind complex numbers and analysis. Some excellent references are: (1) Feynman lecture on Physics: R.P. Feynman ...
Nitin Upadhyaya
Tightening information-theoretic generalization bounds with data-dependent estimate... - Daniel Roy
Workshop on Theory of Deep Learning: Where next? Topic: Tightening information-theoretic generalization bounds with data-dependent estimates with an ...
Institute for Advanced Study
MIA: David Blei, Scaling & generalizing variational inference; David Benjamin, Variational inference
Models, Inference and Algorithms Broad Institute of MIT and Harvard Spring 2016 MIA Meeting: ...
Broad Institute
A tour of the Generalized Lotka-Volterra Model 1 0f 4
School on Community Ecology: from patterns to principles, January 20, 2020 January 20-25, 2020 speaker: Stefano Allesina (U. Chicago, USA): A tour of the ...
ICTP-SAIFR
Lecture 4 | The Fourier Transforms and its Applications
Lecture by Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications (EE 261). Professor Osgood wraps up the ...
Stanford
Complex Numbers, but Different - The Complex Conjugate [ Episode 3 ]
Help me create more free content! =) https://www.patreon.com/mathable Merch :v - https://teespring.com/de/stores/papaflammy ...
Flammable Maths
The Fourier Transform
This video will discuss the Fourier Transform, which is one of the most important coordinate transformations in all of science and engineering. Book Website: ...
Steve Brunton
Generalized Geometry for String Theory - B. Zwiebach - 12/10/2013
A conference celebrating the 50th anniversary of quarks honoring Murray Gell-Mann was held at Caltech on December 9-10, 2013. For more information, visit: ...
caltech
The Killer App for Complex Numbers (2)
Here I introduce the central motivating problem, a vibrating spring, and then back up to the most fundamental differential equation of all. Work through the PDF at ...
David Metzler
Quadrature domains in higher dimensions by Pranav Haridas
PROGRAM CAUCHY-RIEMANN EQUATIONS IN HIGHER DIMENSIONS ORGANIZERS: Sivaguru, Diganta Borah and Debraj Chakrabarti DATE: 15 July 2019 ...
International Centre for Theoretical Sciences
Yujiro Kawamata | Kunihiko Kodaira and complex manifolds
Throughout the 20-21 academic year, the CMSA will be hosting a lecture series on literature in the mathematical sciences, with a focus on significant ...
Harvard CMSA
Laplace Transforms and Differential Equations
This video describes how to use the Laplace transform to simplify differential equations. @eigensteve on Twitter Brunton Website: eigensteve.com Book ...
Steve Brunton
Beauty and Elegance in Physics, featuring Murray Gell-Mann, Ph.D.
The 2009 Harry Mullin, M.D., Memorial Lecture featured Murray Gell-Mann, Ph.D., winner of the 1969 Nobel Prize in Physics. The lecture, held on Oct. 15 in the ...
The University of Scranton
Stanford Seminar - Information Theory of Deep Learning
EE380: Computer Systems Colloquium Seminar Information Theory of Deep Learning Speaker: Naftali Tishby, Computer Science, Hebrew Univerisity I will ...
stanfordonline
#JEST2020 JEST 2020 Tricks to prepare for Exam Book's Name Physics Syllabus
in this video , jest 2020 syllabus and most important books discussed. for books visit my google drive link is given bellow ...
ASHUTOSH SHUKLA PHYSICS CHANNEL
Topology in statistical physics - 1 by Subhro Bhattacharjee
PROGRAM BANGALORE SCHOOL ON STATISTICAL PHYSICS - XI (ONLINE) ORGANIZERS: Abhishek Dhar and Sanjib Sabhapandit DATE: 29 June 2020 to ...
International Centre for Theoretical Sciences
Complete Statistical Theory of Learning (Vladimir Vapnik) | MIT Deep Learning Series
Lecture by Vladimir Vapnik in January 2020, part of the MIT Deep Learning Lecture Series. Slides: http://bit.ly/2ORVofC Associated podcast conversation: ...
Lex Fridman
Generalizing AI With Neural Task Programming | Two Minute Papers #206
The paper "Neural Task Programming: Learning to Generalize Across Hierarchical Tasks" is available here: https://stanfordvl.github.io/ntp/ We would like to ...
Two Minute Papers
SET 28 | 10 Solved Problems on Contour Integrals, Branch Cut, Branch Point etc| Complex Analysis
Complex_Analysis #SET_28 #PhysicsHub It consists of problems from “COMPLEX ANALYSIS” Section on the following topics: Cauchy Riemann condition, ...
Physics Hub
Riemann Zeta Function || Million doller problem ?
Riemann Zeta Function || Million dollar problem? which converges when the real part of s is greater than 1. More general representations of ζ(s) for all s are ...
MathGalaxy
Multi-Tensor Decompositions for Personalized Cancer Diagnostics, Prognostics, and Therapeutics
Join this webinar to learn about the development of novel, multi-tensor generalizations of the singular value decomposition and their use in the comparisons of ...
Amazon Web Services
Quantum Mechanics: Examples of Operators | Hermitian, Unitary etc.
In this video, I describe 4 types of important operators in Quantum Mechanics, which include the Inverse, Hermitian, Unitary, and Projection Operators. I also give ...
Faculty of Khan
From Deep Learning of Disentangled Representations to Higher-level Cognition
One of the main challenges for AI remains unsupervised learning, at which humans are much better than machines, and which we link to another challenge: ...
Microsoft Research
Many-Body Quantum Chaos III - Douglas Stanford
Prospects in Theoretical Physics 2018: From Qubits to Spacetime Topic: Many-Body Quantum Chaos III Speaker: Douglas Stanford Date: July 25, 2018 For more ...
Institute for Advanced Study
