Jordan Journal of Mathematics and Statistics (JJMS) 3(2), 2010, ppShort Note ) REMOTAL SETS IN THE SPACE OF P-INTEGRABLE FUNCTIONS SH. AL-SHARIF Abstract. Let X be a Banach space and G be a closed bounded s

Source URL: journals.yu.edu.jo

• Banach space
• Banach–Alaoglu theorem
• Locally convex topological vector space
• Mathematical analysis
• Functional analysis
• Mathematics

Name Final Exam, Economics 210A, December 2012 There are 8 questions. Answer as many as you can... Good luck! 1) Let S and T be convex sets in Euclidean n space. Let S + T be the set {x|x = s + t for some s ∈ S and so

Source URL: econ.ucsb.edu

• Operator theory
• Microeconomics
• Economics
• Utility
• Mathematical analysis
• Indifference curve
• Consumer choice
• Consumer theory
• Marginal rate of substitution
• Mathematical optimization

SHARP ISOPERIMETRIC INEQUALITIES VIA THE ABP METHOD ´ XAVIER ROS-OTON, AND JOAQUIM SERRA XAVIER CABRE, Abstract. We prove some old and new isoperimetric inequalities with the best constant using the ABP method applied t

Source URL: www.ma.utexas.edu

• Analytic geometry
• Calculus of variations
• Isoperimetric inequality
• Convex cone
• Mathematics
• Mathematical analysis
• Multivariable calculus

DUALITY IN DYNAMIC DISCRETE CHOICE MODELS KHAI X. CHIONG§ , ALFRED GALICHON† , AND MATT SHUM♣ Abstract. Using results from convex analysis, we investigate a novel approach to identification and estimation of discret

Source URL: www.qeconomics.org

• Convex analysis
• Transforms
• Operations research
• Convex optimization
• Statistical models
• Discrete choice
• Expected value
• Conditioning
• Convex conjugate
• Mathematics
• Mathematical optimization
• Mathematical analysis

Performance analysis of OFDM modulation on indoor broadband PLC channels

Source URL: jwcn.eurasipjournals.com

• Computational complexity theory
• Mathematics
• Applied mathematics
• Ordinary differential equations
• Mathematical analysis
• Optimal control
• Mathematical optimization
• Operations research
• Convex optimization
• Linear programming

Combining Multi-class SVMs with Linear Ensemble Methods that Estimate the Class Posterior Probabilities Yann Guermeur LORIA-CNRS Campus Scientique, BP 239

Source URL: www.loria.fr

• Statistics
• Statistical classification
• Functions and mappings
• Support vector machine
• Convex optimization
• Function
• Convex function
• Locally convex topological vector space
• Least squares support vector machine
• Convex analysis
• Mathematical analysis
• Mathematics

Domain Adaptation in Regression Corinna Cortes1 and Mehryar Mohri2,1 1 2

Source URL: www.cs.nyu.edu

• Functions and mappings
• Convex analysis
• Convex optimization
• Mathematical optimization
• Function
• Hilbert space
• Mathematics
• Mathematical analysis
• Operator theory

Radius-Margin Bound on the Leave-One-Out Error of the LLW-M-SVM Yann Guermeur LORIA-CNRS Campus Scientifique, BPVandœuvre-l`es-Nancy cedex, France

Source URL: www.loria.fr

• Operator theory
• Hilbert space
• Statistical classification
• Linear algebra
• Support vector machine
• Reproducing kernel Hilbert space
• Function
• Convex function
• Positive-definite kernel
• Mathematics
• Mathematical analysis
• Statistics

DUALITY IN DYNAMIC DISCRETE CHOICE MODELS KHAI X. CHIONG§ , ALFRED GALICHON† , AND MATT SHUM♣ Abstract. Using results from convex analysis, we investigate a novel approach to identification and estimation of discret

Source URL: qeconomics.org

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 ) =

Source URL: econ.ucsb.edu

• Convex analysis
• Economics
• Hicksian demand function
• Marshallian demand function
• Convex function
• Quasiconvex function
• Consumer choice
• GEC
• Consumer theory
• Mathematical analysis
• Demand