Convex function

Results: 613



#Item
381Convex function / Quasiconvex function / Concave function / Hessian matrix / PROPT / COMPASS/Sample Code / Mathematical analysis / Mathematical optimization / Convex analysis

Answers to Econ 210A Midterm, October 2010 Question 1. f (x1 , x2 ) = p

Add to Reading List

Source URL: www.econ.ucsb.edu

Language: English - Date: 2010-11-01 17:36:31
382Operator theory / Mathematics / Representation theory of Lie groups / Partial differential equations / Spectral theory / Mathematical analysis / Ordinary differential equations

Notes on Indirect Utility How do we show that the indirect utility function is quasi-convex? We want to show that if v(p, m) ≥ v(p0 , m0 ), then the indirect utility of the convex combination budget is worse than the i

Add to Reading List

Source URL: www.econ.ucsb.edu

Language: English - Date: 2011-10-14 19:42:04
383Mathematics / Integral calculus / Trigonometry / Fractional coordinates / Mathematical analysis / Convex analysis / Convex function

2011 APICS Math Competition Time: 3 hours. Team members may collaborate with each other but not with others. Calculators and notes are forbidden. Please write the answer to each question on a separate sheet (or sheets) o

Add to Reading List

Source URL: www.math.unb.ca

Language: English - Date: 2011-10-26 09:44:53
384Mathematics / Convex function / Concave function / Quasiconvex function / Hessian matrix / Derivative / Logarithmically concave function / Mathematical analysis / Mathematical optimization / Convex analysis

Proving that a Cobb-Douglas function is concave if the sum of exponents is no bigger than 1 Ted Bergstrom, Econ 210A, UCSB If you tried this problem in your homework, you learned from painful experience that the Hessian

Add to Reading List

Source URL: www.econ.ucsb.edu

Language: English - Date: 2010-10-20 15:22:45
385Local convex hull / Computational statistics / Statistical inference / Home range / Kernel smoother / Bootstrapping / K-nearest neighbor algorithm / Gaussian function / Plot / Statistics / Non-parametric statistics / Data analysis

LoCoH: Nonparameteric Kernel Methods for Constructing Home Ranges and Utilization Distributions Wayne M. Getz1,2*, Scott Fortmann-Roe1, Paul C. Cross3,4., Andrew J. Lyons1., Sadie J. Ryan1.¤, Christopher C. Wilmers5 1 D

Add to Reading List

Source URL: www.nrmsc.usgs.gov

Language: English - Date: 2012-11-15 18:42:27
386Demand / Economics / Revealed preference / Consumer theory / Marshallian demand function / Indirect utility function

Name Midterm Examination: Economics 210A November 7, 2011 Answer Question 1 and any 4 of the other 6 questions. Good luck. 1) Let f be a real-valued concave function whose domain is a convex subset of

Add to Reading List

Source URL: www.econ.ucsb.edu

Language: English - Date: 2012-11-06 18:23:59
387Convex analysis / Convex optimization / Homotopy / Linear programming / Convex function / Least squares / Mathematical optimization / Mathematical analysis / Operations research

An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization

Add to Reading List

Source URL: jmlr.org

Language: English - Date: 2014-02-16 19:30:21
388Convex analysis / Operations research / Projective geometry / Linear programming / Convex optimization / Convex function / Vector space / Plane at infinity / Duality / Mathematics / Mathematical optimization / Geometry

Globally Optimal Affine and Metric Upgrades in Stratified Autocalibration Manmohan Chandraker† Sameer Agarwal‡ David Kriegman†

Add to Reading List

Source URL: vision.ucsd.edu

Language: English - Date: 2007-09-30 13:10:29
389Operations research / Procedural programming languages / Mathematical optimization / Convex optimization / Linear programming / Fortran / Subroutine / Lancelot / Function / Computing / Computer programming / Software engineering

Freelance Graphics - DIMACS-COIN2006.PRZ

Add to Reading List

Source URL: dimacs.rutgers.edu

Language: English - Date: 2006-08-08 09:57:12
390Optical proximity correction / Linear regression / Gauss–Markov theorem / Convex function / Errors and residuals in statistics / Dummy variable / Statistics / Regression analysis / Econometrics

C:/Documents and Settings/allan gu/Desktop/ieee-semicon_linear_regression_opc/ieee-semicon_linear_regression_opc/ieee_tran_semicon_manu.dvi

Add to Reading List

Source URL: www-video.eecs.berkeley.edu

Language: English - Date: 2007-12-04 16:16:45
UPDATE