further exploitation of the rb framework
play

Further exploitation of the RB framework Yvon Maday, Laboratoire - PowerPoint PPT Presentation

Apr 20, 2023 •156 likes •931 views

Further exploitation of the RB framework Yvon Maday, Laboratoire Jacques-Louis Lions Sorbonne Universit, Paris, Roscoff, France, Institut Universitaire de France Providence February 2020 Mathematics of Reduced Order Models Reduced Basis

  1. Further exploitation of the RB framework Yvon Maday, Laboratoire Jacques-Louis Lions Sorbonne Université, Paris, Roscoff, France, Institut Universitaire de France Providence — February 2020 Mathematics of Reduced Order Models

  2. Reduced Basis Methods is one of the way for Model Reduction

  3. Vague Statements The idea is to use the fact that the « state » we are interested in is described by a quantity u ( x, t ; µ ) that is a function depending on space (and time) and a parameter µ

  4. Parametric model manifold we introduce the set of all solutions to the mathematical model and assume it has a small Kolmogorov n-width

  5. small Kolmogorov n-width means that there exists a small set of functions in or in Span { } such that, any u in is well approximated by a linear combination of these few functions

  6. an example

  7. Kolmogorov n-width Definition Let X be a normed linear space, S be a subset of X and X n be a generic n -dimensional subspace of X . The deviation of S from X n is E ( S ; X n ) = sup v n ∈ X n k u � v n k X . inf u ∈ S The Kolmogorov n -width of S in X is given by d n ( S , X ) = inf X n sup v n ∈ X n k u � v n k X inf u ∈ S The n -width of S thus measures the extent to which S may be approximated by a n -dimensional subspace of X .

  8. How to get the Kolmogorov best space X n ??

  9. How to get the Kolmogorov best space X n ?? X n optimal space is not attainable : an approximation can be given by PCA/SVD … based on some orthogonal decomposition another way is through greedy approach

  10. <latexit sha1_base64="tzgXEMTARup4IKe9u1o/cyvdQtQ=">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</latexit> <latexit sha1_base64="j1pQvRUbV7OCaYQRxUkAWyWMy1M=">AC2nicjVHLSsNAFD3Gd31VxZWb0EZQFEnd6LoxqWCtYVGSpKOdWheJDNiKW7ciVt/wK1+kPQP9C+8M03B6ITkpw5954zc+/1koBnwrYHY8b4xOTU9MxsYW5+YXGpuLxynsUy9VnNj4M4bXhuxgIesZrgImCNJGVu6AWs7nWPVLx+zdKMx9GZ6CXsInQ7Eb/kviuIahXLEtu3rT4jila3R3TCeWZRVaxbK9a+tl/gSVHJSrJWf7cVDtncTFVzhoI4YPiRAMEQThAC4yepqowEZC3AX6xKWEuI4z3KJAWklZjDJcYrv07dCumbMR7ZVnptU+nRLQm5LSxAZpYspLCavTB2X2lmxv3n3tae6W4/+Xu4VEitwRexfulHmf3WqFoFLHOgaONWUaEZV5+cuUndF3dz8VJUgh4Q4hdsUTwn7Wjnqs6k1ma5d9dbV8TedqVi19/NciXd1Sxpw5fs4f4Lzvd0K4VOa9CGawbrKGT5rmPKo5xghp59/GEZ7wYjnFn3BsPw1RjLNes4syHj8AWnmYvQ=</latexit> <latexit sha1_base64="j1pQvRUbV7OCaYQRxUkAWyWMy1M=">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</latexit> <latexit sha1_base64="rHF0abh+71EBtN7lt/MqzAqRho=">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</latexit> Vague Statements u ( x, t ; µ ) In order to determine : what do we have at end ? u ( x i , t k , µ ) a) possibly measures, either pointwize

  11. <latexit sha1_base64="tzgXEMTARup4IKe9u1o/cyvdQtQ=">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</latexit> <latexit sha1_base64="j1pQvRUbV7OCaYQRxUkAWyWMy1M=">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</latexit> <latexit sha1_base64="j1pQvRUbV7OCaYQRxUkAWyWMy1M=">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</latexit> <latexit sha1_base64="rHF0abh+71EBtN7lt/MqzAqRho=">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</latexit> <latexit sha1_base64="2ghF3uPcfuKDZN1SH9XMHcW8Mo=">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</latexit> <latexit sha1_base64="S+sGdEU40Rdmz6g68nGPFyvcjw=">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</latexit> <latexit sha1_base64="S+sGdEU40Rdmz6g68nGPFyvcjw=">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</latexit> <latexit sha1_base64="vqrdpqStU5GzB3uiEnstyZkX5zE=">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</latexit> Vague Statements u ( x, t ; µ ) In order to determine : what do we have at end ? u ( x i , t k , µ ) a) possibly measures, either pointwize R ϕ i,k ( x, t ) u ( x, t, µ ) dxdt or moments

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

! Current State of Exploitation ! Return-Oriented Exploitation ! Mac OS X x86 Return-Oriented

! Current State of Exploitation ! Return-Oriented Exploitation ! Mac OS X x86 Return-Oriented

! Current State of Exploitation ! Return-Oriented Exploitation ! Mac OS X x86 Return-Oriented Exploitation ! Techniques ! Demo ! Mac OS X x86_64 ! Conclusion ! Morris Worm (November 1988) ! Exploited a stack buffer overflow in BSD in.fingerd on VAX

1.02k views • 80 slides
A Recareering Framework @fuzzing_panda A Recareering Framework 1. Framework a. Recon b.

A Recareering Framework @fuzzing_panda A Recareering Framework 1. Framework a. Recon b.

A Recareering Framework @fuzzing_panda A Recareering Framework 1. Framework a. Recon b. Vulnerability Analysis c. Exploitation 2. Life Hack 3. A word to the wise history | grep -v infosec history | grep -v infosec How did I recareer into

697 views • 21 slides
Weird Machines on Little Robots Intro to binary exploitation on Android smartphones @f0rki

Weird Machines on Little Robots Intro to binary exploitation on Android smartphones @f0rki

Weird Machines on Little Robots Intro to binary exploitation on Android smartphones @f0rki 2013-06-06 Agenda Motivation ARM Primer Exploitation 101 Science, Bitches! Vulnerability classes Exploitation Defenses &amp; Mitigation Techniques

899 views • 51 slides
Using Guided Missiles in Drive-bys Automatic browser fingerprinting and exploitation with the

Using Guided Missiles in Drive-bys Automatic browser fingerprinting and exploitation with the

Using Guided Missiles in Drive-bys Automatic browser fingerprinting and exploitation with the Metasploit Framework James Lee # whoami James Lee egypt Developer, Metasploit Project Co-Founder, Teardrop Security Member,

738 views • 35 slides
An Introduction to Elder Abuse for Professionals: Financial Exploitation NCEA Financial

An Introduction to Elder Abuse for Professionals: Financial Exploitation NCEA Financial

An Introduction to Elder Abuse for Professionals: Financial Exploitation NCEA Financial Exploitation 1 Learning Objectives At the end of this presentation, you will be able to: Define and describe financial exploitation Identify

386 views • 34 slides
Components Supporting the Open Data Exploitation Andrea Maurino University of Milano Bicocca

Components Supporting the Open Data Exploitation Andrea Maurino University of Milano Bicocca

Components Supporting the Open Data Exploitation Andrea Maurino University of Milano Bicocca maurino@disco.unimib.it The COMSODE project has received funding from the Seventh Framework Programme of the European Union in the grant agreement

494 views • 14 slides
exploitation initiatives Monday, 10 December 2018 Biowaste treatment and exploitation SYMBIOSIS

exploitation initiatives Monday, 10 December 2018 Biowaste treatment and exploitation SYMBIOSIS

CluBE and biowaste exploitation initiatives Monday, 10 December 2018 Biowaste treatment and exploitation SYMBIOSIS Sensitization Event Nikolaos Ntavos Cluster Manager n.ntavos@clube.gr Cluster of Bioenergy &amp; Environment Formally

632 views • 37 slides
WiFi Exploitation: How passive interception leads to active exploitation SecTor Canada Solomon

WiFi Exploitation: How passive interception leads to active exploitation SecTor Canada Solomon

WiFi Exploitation: How passive interception leads to active exploitation SecTor Canada Solomon Sonya @Carpenter1010 The problem always seems to become more tractable when presented with the solution Solomon Sonya @Carpenter1010 What to

680 views • 63 slides
CS-527 Software Security Exploitation Asst. Prof. Mathias Payer Department of Computer Science

CS-527 Software Security Exploitation Asst. Prof. Mathias Payer Department of Computer Science

CS-527 Software Security Exploitation Asst. Prof. Mathias Payer Department of Computer Science Purdue University TA: Kyriakos Ispoglou https://nebelwelt.net/teaching/17-527-SoftSec/ Spring 2017 Exploitation: Context/Disclaimer In this module

411 views • 37 slides
Bypassing Memory Protections: The Future of Exploitation Alexander Sotirov alex@sotirov.net

Bypassing Memory Protections: The Future of Exploitation Alexander Sotirov alex@sotirov.net

Bypassing Memory Protections: The Future of Exploitation Alexander Sotirov alex@sotirov.net About me Exploit development since 1999 Research into reliable exploitation techniques: Heap Feng Shui in JavaScript Bypassing browser

1.1k views • 48 slides
Exploitation techniques for NT kernel Introduction General concepts Internals Adrien

Exploitation techniques for NT kernel Introduction General concepts Internals Adrien

Exploitation techniques for NT kernel Adrien Adr1 Garin Exploitation techniques for NT kernel Introduction General concepts Internals Adrien Adr1 Garin Exploitation Stack overflow Integer overflow Write What Where EPITA

623 views • 47 slides
Organizational Structure, Exploration, and Exploitation on the ELICIT Experimental Platform Allan

Organizational Structure, Exploration, and Exploitation on the ELICIT Experimental Platform Allan

Organizational Structure, Exploration, and Exploitation on the ELICIT Experimental Platform Allan Friedman Ethan Bernstein David Lazer Harvard ELICIT Outline Exploration &amp; Exploitation ELICIT overview Extensions to ELICIT

585 views • 29 slides
Tactical Exploitation Tactical Exploitation the other way to pen-test the other way to

Tactical Exploitation Tactical Exploitation the other way to pen-test the other way to

Tactical Exploitation Tactical Exploitation the other way to pen-test the other way to pen-test hdm / valsmith hdm / valsmith Black Hat USA 2007 Black Hat USA 2007 Las Vegas August 2007 who are we ? who are we ? H D

1.02k views • 79 slides
Spotting Red Flags of Elder Financial Exploitation in your Institution October 27, 2016 ACAMS

Spotting Red Flags of Elder Financial Exploitation in your Institution October 27, 2016 ACAMS

Spotting Red Flags of Elder Financial Exploitation in your Institution October 27, 2016 ACAMS Greater Philadelphia Chapter AGENDA Evolution of Elder Abuse/Financial Exploitation Recommendations Red Flags Case Scenarios

271 views • 16 slides
Java Card Applet Firewall Java Card Applet Firewall Exploration and Exploitation Exploration and

Java Card Applet Firewall Java Card Applet Firewall Exploration and Exploitation Exploration and

Java Card Applet Firewall Java Card Applet Firewall Exploration and Exploitation Exploration and Exploitation Wojciech Mostowski and Erik Poll Digital Security Radboud University Nijmegen The Netherlands http://www.cs.ru.nl/~{woj,erikpoll}/

818 views • 42 slides
Israels Exploitation of Palestinian Natural Resources Suha Jarrar Environmental Policy

Israels Exploitation of Palestinian Natural Resources Suha Jarrar Environmental Policy

Israels Exploitation of Palestinian Natural Resources Suha Jarrar Environmental Policy Researcher Al-Haq 2018 How exploitation of natural resources drives the illegal occupation The Occupied Palestinian Territory (OPT) is rich in

1.12k views • 13 slides
Random Oracles in a Quantum World Dan Boneh 1 ur Dagdelen 2 Marc Fischlin 2 Ozg Anja Lehmann

Random Oracles in a Quantum World Dan Boneh 1 ur Dagdelen 2 Marc Fischlin 2 Ozg Anja Lehmann

Introduction Positive Results Conclusion Random Oracles in a Quantum World Dan Boneh 1 ur Dagdelen 2 Marc Fischlin 2 Ozg Anja Lehmann 3 Christian Schaffner 4 Mark Zhandry 1 1 Stanford University, USA 2 CASED &amp; Darmstadt University of

768 views • 65 slides
Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions

Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions

Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions Alekh Agarwal Microsoft Research Joint work with Sahand Negahban and Martin Wainwright Workshop on Optimization and Statistical Learning 2013, Les

695 views • 42 slides
Optimality and Support Projection Algorithm for Sparsity Constrained Minimization Lili Pan

Optimality and Support Projection Algorithm for Sparsity Constrained Minimization Lili Pan

Optimality and Support Projection Algorithm for Sparsity Constrained Minimization Lili Pan , Naihua Xiu , Shenglong Zhou Department of Applied Mathematics, Beijing Jiaotong University School of Science, Shandong University of

849 views • 38 slides
Optimal Approximation of Queries Using Tractable Propositional Languages Robert Fink and Dan

Optimal Approximation of Queries Using Tractable Propositional Languages Robert Fink and Dan

Optimal Approximation of Queries Using Tractable Propositional Languages Robert Fink and Dan Olteanu (ICDT 2011) Oxford University Department of Computer Science DAHU Seminar ENS Cachan February 2012 Motivation for approximation in

703 views • 45 slides
Some Approaches to Complexity Reduction: Application to Computational Chemistry Yvon Maday,

Some Approaches to Complexity Reduction: Application to Computational Chemistry Yvon Maday,

Some Approaches to Complexity Reduction: Application to Computational Chemistry Yvon Maday, Laboratoire Jacques-Louis Lions Universit Pierre et Marie Curie, Paris, Roscoff, Institut Universitaire de France and January 2020 ICODE workshop on

1.71k views • 150 slides
Sea earch of E threshold in 70 70 Ni E1 1 strenght around th Ni O.Wieland, A.Bracco, R.

Sea earch of E threshold in 70 70 Ni E1 1 strenght around th Ni O.Wieland, A.Bracco, R.

Sea earch of E threshold in 70 70 Ni E1 1 strenght around th Ni O.Wieland, A.Bracco, R. Avigo, F. Camera, H. Baba, N. Nakatsuka, Y. Togano et al. INFN sez. Milano, RIKEN-RIBF, Kyoto Uni., Tokyo IT, et al. Goal: Search and Measurement of

479 views • 15 slides
Chapter 5: Probability models 1. Random variables: a) Idea. b) Discrete and continuous

Chapter 5: Probability models 1. Random variables: a) Idea. b) Discrete and continuous

Applied Statistics Chapter 5: Probability models 1. Random variables: a) Idea. b) Discrete and continuous variables. c) The probability function (density) and the distribution function. d) Mean and variance of a random variable. 2. Probability

644 views • 25 slides
Introduction to R John Fox McMaster University ICPSR 2010 John Fox (McMaster University)

Introduction to R John Fox McMaster University ICPSR 2010 John Fox (McMaster University)

Introduction to R John Fox McMaster University ICPSR 2010 John Fox (McMaster University) Introduction to R ICPSR 2010 1 / 34 Outline Getting Started with R Statistical Models in R Data in R R Programming R Graphics Building R packages

463 views • 17 slides

More recommend