BroydenFletcherGoldfarbShanno algorithm

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1With the modern galaxy surveys containing millions of galaxies, we are in the era of Precision Cosmology and accurate theoretical predictions are necessary for efficient use of data. However, the structures observed toda

With the modern galaxy surveys containing millions of galaxies, we are in the era of Precision Cosmology and accurate theoretical predictions are necessary for efficient use of data. However, the structures observed toda

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Source URL: mmds-data.org

Language: English - Date: 2016-06-23 15:50:48
2Higher-Order Derivatives in Engineering Applications

Higher-Order Derivatives in Engineering Applications

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Source URL: www.autodiff.org

Language: English - Date: 2008-08-29 02:28:59
3Journal of Machine Learning Research2159  Submitted 3/10; Revised 3/11; Published 7/11 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗

Journal of Machine Learning Research2159 Submitted 3/10; Revised 3/11; Published 7/11 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗

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Source URL: www.jmlr.org

Language: English - Date: 2011-07-05 16:26:18
4Computational Science and Engineering (Int. Master’s Program) ¨ Technische Universit¨at Munchen  Master’s thesis in Computational Science and Engineering

Computational Science and Engineering (Int. Master’s Program) ¨ Technische Universit¨at Munchen Master’s thesis in Computational Science and Engineering

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Source URL: www5.in.tum.de

Language: English
5SIAM J. SCI. COMPUT. Vol. 36, No. 3, pp. A930–A954 c 2014 Society for Industrial and Applied Mathematics 

SIAM J. SCI. COMPUT. Vol. 36, No. 3, pp. A930–A954 c 2014 Society for Industrial and Applied Mathematics 

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Source URL: alice.loria.fr

Language: English - Date: 2014-07-04 06:00:53
6Near-Optimal MAP Inference for Determinantal Point Processes Jennifer Gillenwater Alex Kulesza Ben Taskar Computer and Information Science University of Pennsylvania {jengi,kulesza,taskar}@cis.upenn.edu

Near-Optimal MAP Inference for Determinantal Point Processes Jennifer Gillenwater Alex Kulesza Ben Taskar Computer and Information Science University of Pennsylvania {jengi,kulesza,taskar}@cis.upenn.edu

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Source URL: www.seas.upenn.edu

Language: English - Date: 2012-11-12 14:20:02
7Revisiting natural gradient for deep networks  Yoshua Bengio Universit´e de Montr´eal Montr´eal QC H3C 3J7 Canada

Revisiting natural gradient for deep networks Yoshua Bengio Universit´e de Montr´eal Montr´eal QC H3C 3J7 Canada

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Source URL: arxiv.org

Language: English - Date: 2014-02-18 01:51:44
8Adaptive Subgradient Methods  Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi

Adaptive Subgradient Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi

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Source URL: stanford.edu

Language: English - Date: 2014-09-05 13:17:02
9A Modified Orthant-Wise Limited Memory Quasi-Newton Method  Supplementary Material for “A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis” A. BFGS and L-BFGS For self-containedness,

A Modified Orthant-Wise Limited Memory Quasi-Newton Method Supplementary Material for “A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis” A. BFGS and L-BFGS For self-containedness,

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Source URL: jmlr.org

Language: English - Date: 2015-09-16 19:38:45
10p-MEMPSODE: Parallel and Irregular Memetic Global Optimization C. Voglis a,1 , P.E Hadjidoukas b , K.E. Parsopoulos a , D.G. Papageorgiou c , I.E. Lagaris a M.N. Vrahatis d a Department b Chair

p-MEMPSODE: Parallel and Irregular Memetic Global Optimization C. Voglis a,1 , P.E Hadjidoukas b , K.E. Parsopoulos a , D.G. Papageorgiou c , I.E. Lagaris a M.N. Vrahatis d a Department b Chair

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Source URL: www.cse-lab.ethz.ch

Language: English - Date: 2015-08-20 05:08:05