Constructible universe

Results: 1309



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1Wavelets and Image Compression  Bradley J. Lucier Abstract. In this paper we present certain results about the compression of images using wavelets. We concentrate on the simplest case of the Haar decomposition and compr

Wavelets and Image Compression Bradley J. Lucier Abstract. In this paper we present certain results about the compression of images using wavelets. We concentrate on the simplest case of the Haar decomposition and compr

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Source URL: www.math.purdue.edu

Language: English - Date: 2015-10-07 14:27:16
2275  Documenta Math. The Chow-Witt ring Jean Fasel

275 Documenta Math. The Chow-Witt ring Jean Fasel

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Source URL: www.math.uiuc.edu

Language: English - Date: 2007-07-13 03:18:10
3Constrained Minimisation1  1 Here we investigate the different ways of writing a constrained minimisation problem. Just to remind you, minimising f (x) is equivalent to maximising −f (x). In a lagrange type formulation

Constrained Minimisation1 1 Here we investigate the different ways of writing a constrained minimisation problem. Just to remind you, minimising f (x) is equivalent to maximising −f (x). In a lagrange type formulation

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Source URL: dl.dropboxusercontent.com

Language: English
4P1: JSN/VSK  P2: JSN International Journal of Computer Vision

P1: JSN/VSK P2: JSN International Journal of Computer Vision

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Source URL: www.stat.ucla.edu

Language: English - Date: 2001-02-25 14:00:10
5How Euler Did It by Ed Sandifer Formal Sums and Products July 2006 Two weeks ago at our MAA Section meeting, George Andrews gave a nice talk about the delicate and beautiful relations among infinite sums, infinite produc

How Euler Did It by Ed Sandifer Formal Sums and Products July 2006 Two weeks ago at our MAA Section meeting, George Andrews gave a nice talk about the delicate and beautiful relations among infinite sums, infinite produc

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Source URL: eulerarchive.maa.org

Language: English - Date: 2013-11-04 12:20:24
6Exercises 3: unconstrained maximization Let’s investigate Fact 1 from Daniel Wilhelm’s lecture notes. Fact 1: 1. if f has a local max (min) at point x∗ , then Df (x∗ ) = 0 and D2 f (x∗ ) is negative (positive)

Exercises 3: unconstrained maximization Let’s investigate Fact 1 from Daniel Wilhelm’s lecture notes. Fact 1: 1. if f has a local max (min) at point x∗ , then Df (x∗ ) = 0 and D2 f (x∗ ) is negative (positive)

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Source URL: dl.dropboxusercontent.com

Language: English
7Electronic Journal of Differential Equations, Monograph 06, 2004, (142 pages). ISSN: URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu (login: ftp) PALAIS-SMALE APPROACHES

Electronic Journal of Differential Equations, Monograph 06, 2004, (142 pages). ISSN: URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu (login: ftp) PALAIS-SMALE APPROACHES

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Source URL: ejde.math.unt.edu

Language: English - Date: 2016-04-22 14:45:21
8Mizar Hands-on Tutorial Adam Naumowicz Artur Kornilowicz  Adam Grabowski

Mizar Hands-on Tutorial Adam Naumowicz Artur Kornilowicz Adam Grabowski

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Source URL: mizar.auburn.edu

Language: English - Date: 2016-07-29 01:16:07
9Self-similarity in a General Aggregation-Fragmentation Problem ; Application to Fitness Analysis Vincent Calvez ∗

Self-similarity in a General Aggregation-Fragmentation Problem ; Application to Fitness Analysis Vincent Calvez ∗

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Source URL: www.rocq.inria.fr

Language: English - Date: 2011-09-22 13:58:37
10Structural approximation Boris Zilber University of Oxford March 5,

Structural approximation Boris Zilber University of Oxford March 5,

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Source URL: people.maths.ox.ac.uk

Language: English - Date: 2010-03-05 10:02:06