Positive-definite matrix

Results: 90



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11MATRICES WITH PRESCRIBED ROW AND COLUMN SUMS Alexander Barvinok October 2010 Abstract. This is a survey of the recent progress and open questions on the structure of the sets of 0-1 and non-negative integer matrices wit

MATRICES WITH PRESCRIBED ROW AND COLUMN SUMS Alexander Barvinok October 2010 Abstract. This is a survey of the recent progress and open questions on the structure of the sets of 0-1 and non-negative integer matrices wit

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Source URL: www.math.lsa.umich.edu

Language: English - Date: 2010-10-27 10:36:40
12CONCENTRATION OF THE MIXED DISCRIMINANT OF WELL-CONDITIONED MATRICES Alexander Barvinok Abstract. We call an n-tuple Q1 , . . . , Qn of positive definite n × n real matrices α-conditioned for some α ≥ 1 if for the c

CONCENTRATION OF THE MIXED DISCRIMINANT OF WELL-CONDITIONED MATRICES Alexander Barvinok Abstract. We call an n-tuple Q1 , . . . , Qn of positive definite n × n real matrices α-conditioned for some α ≥ 1 if for the c

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Source URL: www.math.lsa.umich.edu

Language: English - Date: 2015-11-17 15:29:13
13On the condition number of the critically-scaled Laguerre Unitary Ensemble Percy Deift∗ , Govind Menon† and Thomas Trogdon∗,0 ∗ Courant Institute of Mathematical Sciences

On the condition number of the critically-scaled Laguerre Unitary Ensemble Percy Deift∗ , Govind Menon† and Thomas Trogdon∗,0 ∗ Courant Institute of Mathematical Sciences

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Source URL: www.dam.brown.edu

Language: English - Date: 2015-07-13 14:51:17
14Chapter 1 First Look: Ten Questions. 1. Put options with strikes 30 and 20 on the same underlying asset and with the same maturity are trading for $6 and $4, respectively. Can you find an arbitrage?

Chapter 1 First Look: Ten Questions. 1. Put options with strikes 30 and 20 on the same underlying asset and with the same maturity are trading for $6 and $4, respectively. Can you find an arbitrage?

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Source URL: www.fepress.org

Language: English - Date: 2013-10-29 21:51:49
15Toward Accelerating the Matrix Inversion Computation of Symmetric Positive-Definite Matrices on Heterogeneous GPU-Based Systems Huda Ibeid∗† , Dinesh Kaushik‡ , David Keyes† and Hatem Ltaief‡ ∗ Student Author

Toward Accelerating the Matrix Inversion Computation of Symmetric Positive-Definite Matrices on Heterogeneous GPU-Based Systems Huda Ibeid∗† , Dinesh Kaushik‡ , David Keyes† and Hatem Ltaief‡ ∗ Student Author

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Source URL: www.hipc.org

Language: English - Date: 2011-11-11 12:59:08
    16JMLR: Workshop and Conference Proceedings 29:62–71, 2013 ACML 2013 Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification

    JMLR: Workshop and Conference Proceedings 29:62–71, 2013 ACML 2013 Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification

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    Source URL: jmlr.org

    Language: English - Date: 2013-11-13 22:34:45
    17Proof that if voting is perfect in one dimension, then the first eigenvector extracted from the double-centered transformed ag

    Proof that if voting is perfect in one dimension, then the first eigenvector extracted from the double-centered transformed ag

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    Source URL: voteview.com

    Language: English - Date: 2012-06-14 10:28:19
    18U.S. Department of Commerce National Oceanic and Atmospheric Administration National Weather Service National Centers for Environmental Prediction 5830 University Research Court College Park, MD 20740

    U.S. Department of Commerce National Oceanic and Atmospheric Administration National Weather Service National Centers for Environmental Prediction 5830 University Research Court College Park, MD 20740

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    Source URL: www.lib.ncep.noaa.gov

    Language: English - Date: 2015-06-04 11:02:28
    19Proof that if voting is perfect in one dimension, then the first eigenvector extracted from the double-centered transformed ag

    Proof that if voting is perfect in one dimension, then the first eigenvector extracted from the double-centered transformed ag

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    Source URL: www.voteview.com

    Language: English - Date: 2012-06-14 10:28:19
    20The Ellipsoid algorithm and Positive Definite matrices March 27, 2008 Let Q be an n by n nonsingular real matrix and t ∈ Rn . The mapping T (x) = Qx + t is called an affine transformation. A unit ball S(0, 1) in Rn is

    The Ellipsoid algorithm and Positive Definite matrices March 27, 2008 Let Q be an n by n nonsingular real matrix and t ∈ Rn . The mapping T (x) = Qx + t is called an affine transformation. A unit ball S(0, 1) in Rn is

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    Source URL: www.wisdom.weizmann.ac.il

    - Date: 2008-04-03 09:24:29