Hessian matrix

Results: 88



#Item
41A new method to compute second derivatives Hugo D. Scolnik e-mail: [removed] M. Juliana Gambini e-mail: [removed]

A new method to compute second derivatives Hugo D. Scolnik e-mail: [removed] M. Juliana Gambini e-mail: [removed]

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Source URL: journal.info.unlp.edu.ar

Language: English - Date: 2002-04-16 10:30:10
42Differential Geometry Applications to Vision Systems John B. Moore and Pei Yean Lee The Australian National University and the National ICT Australia Ltd. [removed], [removed]

Differential Geometry Applications to Vision Systems John B. Moore and Pei Yean Lee The Australian National University and the National ICT Australia Ltd. [removed], [removed]

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2006-04-26 01:43:19
43A class of self-concordant functions on Riemannian manifolds Gabriel Bercu and Mihai Postolache Abstract. The notion of self-concordant function on Euclidean spaces was introduced and studied by Nesterov and Nemirovsky [

A class of self-concordant functions on Riemannian manifolds Gabriel Bercu and Mihai Postolache Abstract. The notion of self-concordant function on Euclidean spaces was introduced and studied by Nesterov and Nemirovsky [

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Source URL: www.emis.de

Language: English - Date: 2009-06-04 01:05:40
44Model parametrization strategies for Newton-based acoustic full waveform inversion Amsalu Y. Anagaw, University of Alberta, Edmonton, Canada, [removed] Summary This paper studies the effects of model parameteri

Model parametrization strategies for Newton-based acoustic full waveform inversion Amsalu Y. Anagaw, University of Alberta, Edmonton, Canada, [removed] Summary This paper studies the effects of model parameteri

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Source URL: geoconvention.org

Language: English - Date: 2014-06-08 22:33:24
45

PDF Document

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Source URL: www.siam.org

Language: English - Date: 2014-10-28 12:16:14
46Ma 1c  HOMEWORK ASSIGMENT 3 INSTRUCTOR:

Ma 1c HOMEWORK ASSIGMENT 3 INSTRUCTOR:

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Source URL: math.caltech.edu

Language: English - Date: 2010-04-14 11:46:02
47Midterm Exam, Econ 210A, Fall[removed]Elmer Kink’s utility function is min{x1 , 2x2 }. Draw a few indifference curves for Elmer. These are L-shaped, with the corners lying on the line x1 = 2x2 . Find each of the follow

Midterm Exam, Econ 210A, Fall[removed]Elmer Kink’s utility function is min{x1 , 2x2 }. Draw a few indifference curves for Elmer. These are L-shaped, with the corners lying on the line x1 = 2x2 . Find each of the follow

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Source URL: www.econ.ucsb.edu

Language: English - Date: 2008-11-19 18:29:11
48Midterm Exam, Econ 210A, Fall[removed]Elmer Kink’s utility function is min{x1 , 2x2 }. Draw a few indifference curves for Elmer. Find each of the following for Elmer: • His Marshallian demand function for each good.

Midterm Exam, Econ 210A, Fall[removed]Elmer Kink’s utility function is min{x1 , 2x2 }. Draw a few indifference curves for Elmer. Find each of the following for Elmer: • His Marshallian demand function for each good.

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Source URL: www.econ.ucsb.edu

Language: English - Date: 2008-11-03 16:55:56
49Package ‘ucminf’ July 2, 2014 Version[removed]Date[removed]Title General-purpose unconstrained non-linear optimization Author Hans Bruun Nielsen and Stig Bousgaard Mortensen

Package ‘ucminf’ July 2, 2014 Version[removed]Date[removed]Title General-purpose unconstrained non-linear optimization Author Hans Bruun Nielsen and Stig Bousgaard Mortensen

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 16:47:01
50In: M. I. Jordan, M. J. Kearns and S. S. Solla (ed) Advances in Neural Information Processing Systems 10  Phase transitions and the perceptual organization of video sequences Yair Weiss

In: M. I. Jordan, M. J. Kearns and S. S. Solla (ed) Advances in Neural Information Processing Systems 10 Phase transitions and the perceptual organization of video sequences Yair Weiss

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Source URL: www.cs.huji.ac.il

Language: English - Date: 2002-10-16 06:36:41