New Papers  

 

[1] Signed Support Recovery for Single Index Models in High-Dimensions

Neykov Matey Princeton University Qian Lin Harvard University Jun S. Liu Harvard University

Statistics Theory mathscidoc:1701.33005

[ Download ] [ 2017-01-21 19:36:54 uploaded by qianlin ] [ 5 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[2] On consistency and sparsity for sliced inverse regression in high dimensions

Qian Lin Harvard University Zhigen Zhao Temple University Jun S. Liu Harvard University

Statistics Theory mathscidoc:1701.33004

[ Download ] [ 2017-01-21 19:31:17 uploaded by qianlin ] [ 3 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[3] Sparse Sliced Inverse Regression for High Dimensional Data

Qian Lin Harvard University Zhigen Zhao Temple University Jun S. Liu Harvard University

Statistics Theory mathscidoc:1701.33003

[ Download ] [ 2017-01-21 19:28:11 uploaded by qianlin ] [ 4 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[4] On the optimality of sliced inverse regression in high dimensions

Qian Lin Harvard University Xinran Li Harvard University Dongming Huang Harvard University Jun S. Liu Harvard University

Statistics Theory mathscidoc:1701.33002

[ Download ] [ 2017-01-21 19:24:07 uploaded by qianlin ] [ 5 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[5] Witten’s top Chern class via cosection localization

Chang, Huai-Liang Hong Kong University of Science and Technology Li, Jun Fudan University and Stanford University LI Wei-Ping Hong Kong University of Science and Technology

Algebraic Geometry mathscidoc:1701.01001

[ Download ] [ 2017-01-18 10:34:15 uploaded by mawpli ] [ 6 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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  Most Downloaded Papers

 

[1] 3D indoor scene modeling from RGB-D data: a survey

Kang Chen Tsinghua University Yu-Kun Lai Cardiff University Shi-Min Hu Tsinghua University

Geometric Modeling and Processing mathscidoc:1605.16001

[ Download ] [ 2016-05-17 23:20:16 uploaded by shimin ] [ 478 downloads ] [ 0 comments ] [ Cited by 3 ] [ Abstract ] [ Full ]
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[2] Urban Pattern: Layout Design by Hierarchical Domain Splitting

Yongliang Yang Jun Wang Etienne Vouga Peter Wonka

Geometric Modeling and Processing mathscidoc:1608.16072

[ Download ] [ 2016-08-26 00:14:57 uploaded by yyang ] [ 406 downloads ] [ 0 comments ] [ Cited by 13 ] [ Abstract ] [ Full ]
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[3] On Block Term Tensor Decompositions and Its Applications in Blind Signal Separation

Ming Yang Zhao Kang Southern Illinois University Chong Peng Southern Illinois University Wen Liu Texas A&M University Qiang Cheng Southern Illinois University

Rings and Algebras mathscidoc:1601.31001

[ Download ] [ 2016-01-05 10:23:43 uploaded by wenliu79 ] [ 299 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[4] Scattering phenomenon in symplectic geometry

Kwokwai Chan The Chinese University of Hong Kong Naichung Conan Leung The Chinese University of Hong Kong Ziming Nikolas Ma Harvard University

Geometric Topology mathscidoc:1606.15002

[ Download ] [ 2016-06-29 17:54:51 uploaded by kwchan ] [ 268 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[5] A simple approach for bubble modelling from multiphase fluid simulation

Bo Ren Nankai University Yuntao Jiang Tsinghua University Chenfeng Li Swansea University Ming C. Lin University of North Carolina at Chapel Hill

Mathematical Physics mathscidoc:1608.22007

[ Download ] [ 2016-08-19 18:02:35 uploaded by renbo ] [ 257 downloads ] [ 0 comments ] [ Cited by 1 ] [ Abstract ] [ Full ]
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Mathematic Words Today

 

Partial differential equation

Partial differential equation

In mathematics, a partial differential equation (PDE) is a differential equation that contains unknown multivariable functions and their partial derivatives. (A special case are ordinary differential equations (ODEs), which deal with functions of a single variable and their derivatives.)

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Mathematic People Today

 

Carl Friedrich Gauss

Carl Friedrich Gauss

Johann Carl Friedrich Gauss was a German mathematician who contributed significantly to many fields, including number theory, algebra, statistics, analysis, differential geometry, geodesy, geophysics, mechanics, electrostatics, astronomy, matrix theory, and optics.

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