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Convex analysis
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#	Item
651	Convexification of Pseudoconvex Domains Klas Markstr¨om Abstract. In 1976 Fornaess [For76] proved that any strictly pseudoconvex domain in Cn can be embedded into a strictly convex domain in Cm , for some m ≥ n. In th Add to Reading List Source URL: abel.math.umu.se Language: English - Date: 2013-12-11 09:07:20 Sobolev spaces Constructible universe Ordinal number Complex analysis Grunsky matrix Mathematical analysis Mathematics Abstract algebra
652	Econometrica,Vol. 56, No. 4 (July, 1988), [removed]ON 64%-MAJORITYRULE BY ANDREW CAPLIN AND BARRY NALEBUFF1 Many electoralrules (such as those governingthe U.S. Constitution)requirea supermajorityvote to changethe statu Add to Reading List Source URL: www.econ.ucsb.edu Language: English - Date: 2012-08-18 17:36:24 Convex function Centroid Derivative Concave function Mean Quasiconvex function Mathematical analysis Convex analysis Mathematics
653	Name Midterm Exam, Econ 210A, UCSB, Nov 5, 2007 Try to answer five of the six questions, including Question[removed]Suppose that the preference relation R is complete and transitive. We define the relation P such that xP Add to Reading List Source URL: www.econ.ucsb.edu Language: English - Date: 2007-11-04 19:45:41 Mathematical analysis Convex analysis Microeconomics Demand Convex geometry Hicksian demand function Convex preferences Preference Utility Consumer theory Mathematical optimization Mathematics
654	Rate-Distortion-Complexity Optimization of an H.264/AVC Encoder for Real-Time Videoconferencing on a Mobile Device Frank Ciaramello and Sheila Hemami Cornell University Rahul Vanam, Jaehong Chon Add to Reading List Source URL: foulard.ece.cornell.edu Language: English - Date: 2010-11-16 16:04:35 Mathematics Geometry Convex geometry ISO standards Mathematical analysis Deblocking filter Encoder H.264/MPEG-4 AVC Convex hull Video compression Convex analysis Video
655	Tighter Linear Program Relaxations for High Order Graphical Models Elad Mezuman∗ Hebrew University Jerusalem, Israel Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2013-05-28 11:00:21 Graph theory Probability theory Networks Theoretical computer science Convex optimization Linear programming Belief propagation Markov random field Fourier transform Graphical models Mathematics Mathematical analysis
656	Midterm Examination: Economics 210A October 2011 The exam has 6 questions. Answer as many as you can. Good luck. 1) A) Must every quasi-concave function must be concave? If so, prove it. If not, provide a counterexample. Add to Reading List Source URL: www.econ.ucsb.edu Language: English - Date: 2011-10-31 14:33:23 Quasiconvex function Convex function Concave function Derivative PROPT Logarithmically concave function Mathematical analysis Mathematical optimization Convex analysis
657	MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies Yair Weiss, Chen Yanover and Talya Meltzer School of Computer Science and Engineering The Hebrew University of Jerusalem, Jerusalem, Isr Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2007-06-28 03:59:55 Probability theory Operations research Convex analysis Graphical models Linear algebra Belief propagation Linear programming Vector space Convex function Mathematics Mathematical optimization Algebra
658	4 Diﬀerential Calculus 4.1 Add to Reading List Source URL: www.math.caltech.edu Language: English - Date: 2012-10-27 20:25:48 Differential calculus Differentiation rules Continuous function Mean value theorem Convex function Derivative Chain rule Maxima and minima Quotient rule Mathematical analysis Mathematics Calculus
659	Name Midterm Exam, Econ 210A, Fall 2010 Answer as many questions as you can. Put your answers on these sheets. Question 1. Let f (x1 , x2 ) = Add to Reading List Source URL: www.econ.ucsb.edu Language: English - Date: 2010-10-26 16:17:27 Convex analysis Economics Hicksian demand function Marshallian demand function Convex function Quasiconvex function Consumer choice GEC Consumer theory Mathematical analysis Demand
660	Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA Vincent Q. Vu The Ohio State University [removed] Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-25 16:30:06 Matrix theory Singular value decomposition Matrices Data analysis Principal component analysis Eigenvalues and eigenvectors Covariance matrix Matrix Spectral theorem Algebra Linear algebra Mathematics

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