B22 Introduction to Substitutions
An overview of the three type of substitutions as a new method of solving linear, exact, and "almost" separable differential equations.
From playlist Differential Equations
What to do with all those old PCBs from stuff you've taken apart...
From playlist Projects & Installations
C07 Homogeneous linear differential equations with constant coefficients
An explanation of the method that will be used to solve for higher-order, linear, homogeneous ODE's with constant coefficients. Using the auxiliary equation and its roots.
From playlist Differential Equations
Measurements vs. Bits: Compressed Sensors and Info Theory
October 18, 2006 lecture by Dror Baron for the Stanford University Computer Systems Colloquium (EE 380). Dror Baron discusses the numerous rich insights information theory has to offer Compressed Sensing (CS), an emerging field based on the revelation that optimization routines can reco
From playlist Course | Computer Systems Laboratory Colloquium (2006-2007)
28th Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series Talk
Date: Wednesday, June 16, 2021, 10:00am Eastern Time Zone (US & Canada) Speaker: Yiqui Dong Title: Model Error Matters – CT reconstruction with uncertain view angles Abstract: Inverse problems are mathematical problems that arise when one wants to recover “hidden” information from indir
From playlist Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series
From shallow to deep learning for inverse imaging problems - Carola-Bibiane Schönlieb, Cambridge
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
Seminar on Applied Geometry and Algebra (SIAM SAGA): Rekha Thomas
Date: Tuesday, November 10 at 11:00am EST (5:00pm CET) Speaker: Rekha Thomas, University of Washington Title: When Two Cameras Meet a Cubic Surface Abstract: The set of images captured by an arrangement of pinhole cameras is usually modeled by the multiview variety. The true set is in f
From playlist Seminar on Applied Geometry and Algebra (SIAM SAGA)
Guillaume Bal: High-contrast high-resolution coupled physics imaging modalities
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Partial Differential Equations
Reconstruction in Algebraic Geometry - Peter Haine
Spring Opportunities Workshop 2023 Topic: Reconstruction in Algebraic Geometry Speaker: Peter Haine Affiliation: IAS Date: January 12, 2023 A classical theorem of Neukirch and Uchida says that number fields are completely determined by their absolute Galois groups. One might wonder abou
From playlist Spring Opportunities Workshop 2023
Live CEOing Ep 506: Design Review for Graphs, Geometry & Graphics
In this episode of Live CEOing, Stephen Wolfram discusses upcoming improvements and features to the Wolfram Language. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channel of Stephen Wolfram
From playlist Behind the Scenes in Real-Life Software Design
Autoencoders Tutorial | Autoencoders In Deep Learning | Tensorflow Training | Edureka
** AI & Deep Learning with Tensorflow Training: www.edureka.co/ai-deep-learning-with-tensorflow ** This Edureka video of "Autoencoders Tutorial" provides you with a brief introduction about autoencoders and how they compress unsupervised data. You will get detailed information on the diff
From playlist Introduction to Deep Learning
C26 Example problem finding the form of the particular solution
More examples problems using the annihilator approach.
From playlist Differential Equations
Deep learning for scientific computing: 2 stories on the gap between theory & practice - Ben Adcock
Deep learning is being increasingly used for challenging problems in scientific computing. Theoretically, such efforts are supported by a large and growing body of literature on existence of deep neural networks with favourable approximation properties. Yet, these results often say very li
From playlist Interpretability, safety, and security in AI