Almost Linear Time Algorithms for Max-flow and More - Sushant Sachdeva
Computer Science/Discrete Mathematics Seminar II Topic: Almost Linear Time Algorithms for Max-flow and More Speaker: Sushant Sachdeva Affiliation: University of Toronto Date: October 18, 2022 We give the first almost-linear time algorithm for computing exact maximum flows and minimum-cos
From playlist Mathematics
Bound-preserving numerical solutions of variable density two-phase flows
Date and Time: Thursday, November 11, 12:00pm Eastern time zone Speaker: Beatrice Riviere, Rice University Abstract: Modeling pore-scale flows modeling is important for many applications relevant to energy and environment. Phase-field models are popular models because they implicitly tra
From playlist SIAM Geosciences Webinar Series
Machine Learning for Computational Fluid Dynamics
Machine learning is rapidly becoming a core technology for scientific computing, with numerous opportunities to advance the field of computational fluid dynamics. This paper highlights some of the areas of highest potential impact, including to accelerate direct numerical simulations, to i
From playlist Data Driven Fluid Dynamics
How To Determine The VOLUME Flow Rate In Fluid Mechanics!! #Mechanical #Engineering #Fluids #Physics #NicholasGKK #Shorts
From playlist Mechanical Engineering
Bartosz Protas: "Max Amplification of Enstrophy in Navier-Stokes Flows & the Hydrodynamic Blow-U..."
Transport and Mixing in Complex and Turbulent Flows 2021 "Maximum Amplification of Enstrophy in Navier-Stokes Flows and the Hydrodynamic Blow-Up Problem" Bartosz Protas - McMaster University Abstract: This investigation concerns a systematic search for potentially singular behavior in 3D
From playlist Transport and Mixing in Complex and Turbulent Flows 2021
Enhancing Computational Fluid Dynamics with Machine Learning
Research abstract by Ricardo Vinuesa (@Ricardo Vinuesa) from KTH!! Twitter: @ricardovinuesa In this video we discuss the recent article published in Nature Computational Science by Ricardo Vinuesa and Steve Brunton, where the potential of machine learning (ML) to improve numerical simulat
From playlist Research Abstracts from Brunton Lab
Gradients and flows: Continuous optimization approaches to Maximum Flow Problem – A. Mądry – ICM2018
Mathematical Aspects of Computer Science Invited Lecture 14.1 Gradients and flows: Continuous optimization approaches to the Maximum Flow Problem Aleksander Mądry Abstract: We use the lens of the maximum flow problem, one of the most fundamental problems in algorithmic graph theory, to d
From playlist Mathematical Aspects of Computer Science
Giada Basile: A gradient flow approach to kinetic equations
The lecture was held within the framework of the Hausdorff Trimester Program: Kinetic Theory Abstract: I will present some results obtained together with D. Benedetto and L. Bertini on a gradient flow formulation of linear kinetic equations, in terms of an entropy dissipation inequality.
From playlist Workshop: Probabilistic and variational methods in kinetic theory
Small deformations of biomembranes
Charlie Elliott University of Warwick, UK
From playlist 2018 Modeling and Simulation of Interface Dynamics in Fluids/Solids and Their Applications
Advanced Hydraulics by Dr. Suresh A Kartha,Department of Civil Engineering,IIT Guwahati.For more details on NPTEL visit http://nptel.iitm.ac.in
From playlist IIT Guwahati: Advanced Hydraulics | CosmoLearning.org Civil Engineering
Amir Tabatabai Mining the Surface: Proof mining in the bounded world
The lecture was held within the framework of the Hausdorff Trimester Program: Types, Sets and Constructions. Abstract: A computational flow is a pair consisting of a sequence of computational problems of a certain sort and a sequence of computational reductions among them. In this talk we
From playlist Workshop: "Proofs and Computation"
Astrophysical fluid dynamics - James Stone
Members’ Seminar Topic: Astrophysical fluid dynamics Speaker: James Stone Affiliation: Professor, School of Natural Sciences Date: February 22, 2021 For more video please visit http://video.ias.edu
From playlist Mathematics
Advanced Hydraulics by Dr. Suresh A Kartha,Department of Civil Engineering,IIT Guwahati.For more details on NPTEL visit http://nptel.iitm.ac.in
From playlist IIT Guwahati: Advanced Hydraulics | CosmoLearning.org Civil Engineering
In visual computing, point locations are often optimized using a "repulsive" energy, to obtain a nice uniform distribution for tasks ranging from image stippling to mesh generation to fluid simulation. But how do you perform this same kind of repulsive optimization on curves and surfaces?
From playlist Repulsive Videos
Flow classifications velocity distribution
Advanced Hydraulics by Dr. Suresh A Kartha,Department of Civil Engineering,IIT Guwahati.For more details on NPTEL visit http://nptel.iitm.ac.in
From playlist IIT Guwahati: Advanced Hydraulics | CosmoLearning.org Civil Engineering
Recent advances in Geometric Analysis - 6 June 2018
http://crm.sns.it/event/435 Centro di Ricerca Matematica Ennio De Giorgi The aim of the workshop is to bring together experts working on different sides of Geometric Analysis: PDE aspects, minimal or constant mean curvature surfaces, geometric inequalities, applications to general relativ
From playlist Centro di Ricerca Matematica Ennio De Giorgi
FFT based spectral Ewald methods as an alternative to multipole methods – A.-K. Tornberg – ICM2018
Numerical Analysis and Scientific Computing Invited Lecture 15.5 FFT based spectral Ewald methods as an alternative to fast multipole methods Anna-Karin Tornberg Abstract: In this paper, we review a set of fast and spectrally accurate methods for rapid evaluation of three dimensional ele
From playlist Numerical Analysis and Scientific Computing
The Discrete Charm of Geometry by Alexander Bobenko
Kaapi with Kuriosity The Discrete Charm of Geometry Speaker: Alexander Bobenko (Technical University of Berlin) When: 4pm to 6pm Sunday, 22 July 2018 Where: J. N. Planetarium, Sri T. Chowdaiah Road, High Grounds, Bangalore Discrete geometric structures (points, lines, triangles, recta
From playlist Kaapi With Kuriosity (A Monthly Public Lecture Series)
Tobias COLDING - Optimal regularity for geometric flows
Many physical phenomema lead to tracking moving fronts whose speed depends on the curvature. The level set method has been tremendously succesful for this, but the solutions are typically only continuous. We will discuss results that show that the level set flow has twice differe
From playlist Riemannian Geometry Past, Present and Future: an homage to Marcel Berger