'Concave function' presentation slideshows

Overview of Maximum Likelihood Estimation: Part II

1.19k views • 93 slides

Prioritized Distributed Video Delivery With Randomized Network Coding

Prioritized Distributed Video Delivery With Randomized Network Coding. IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 13, NO. 4, AUGUST 2011 Nikolaos Thomos Jacob Chakareski Pascal Frossard. Outline. Introduction Network Coding and UEP Video Streaming Distortion Analysis Optimal Rate Allocation

600 views • 47 slides

Risk

Prerequisites. Almost essential Consumption and Uncertainty. Risk. MICROECONOMICS Principles and Analysis Frank Cowell . Risk and uncertainty. In dealing with uncertainty a lot can be done without introducing probability Now we introduce a specific probability model

662 views • 45 slides

The Economics of Rotating Savings and Credit Association

The Economics of Rotating Savings and Credit Association. Timothy Besley Stephen Coate Glenn Loury. Introduction.

800 views • 40 slides

Simultaneous Optimization Ashish Goel University of Southern California Joint work with

Simultaneous Optimization Ashish Goel University of Southern California Joint work with Deborah Estrin, UCLA (Concave Costs) Adam Meyerson, Stanford/CMU (Convex Costs, Concave Utilities). http://cs.usc.edu/~agoel. Algorithms/Theory of Computation at USC. Len Adleman Tim Chen Ashish Goel

403 views • 40 slides

Convexity

Convexity. Microeconomia III (Lecture 0) Tratto da Cowell F. (2004), Principles of Microeoconomics. November 2004. Convex sets. Ideas of convexity used throughout microeconomics Restrict attention to real space R n I.e. sets of vectors ( x 1 , x 2 , ..., x n )

589 views • 19 slides

Convexity

Convexity. MICROECONOMICS Principles and Analysis Frank Cowell. June 2006. Convex sets. Ideas of convexity used throughout microeconomics Restrict attention to real space R n I.e. sets of vectors ( x 1 , x 2 , ..., x n ) Use the concept of convexity to define Convex functions

450 views • 19 slides

Convexification Strategies for Signomial Programming Problems

Convexification Strategies for Signomial Programming Problems. Jung-Fa Tsai Department of Business Management National Taipei University of Technology. Outline. Introduction & Problem Formulation Conventional Approach Convexification Strategies Piecewise Linearization Techniques Example

432 views • 17 slides

Multivariable Optimization

Lecture 5. Multivariable Optimization. 1 . Necessary Conditions. Optimization problems: max x1,x2 y = f(x 1 ,x 2 ) min x1,x2 y = f(x 1 ,x 2 ). E.g., profit maximization, cost minimization. When x 2 is kept constant, f(x 1 , c) is a function of x 1 only.

731 views • 17 slides

CVX_class 2014

CVX_class 2014. Cvx tool setup. Search for CVX tool ( http://cvxr.com/cvx/ ) Dezip to your assigned directory Key cvx_setup in the matlab command window. No errors! cvx has been successfully installed. Cvx programming. Between cvx_begin & cvx_end cvx_begin

254 views • 16 slides

Convex Functions, Convex Sets and Quadratic Programs

Convex Functions, Convex Sets and Quadratic Programs. Sivaraman Balakrishnan. Outline. Convex sets Definitions Motivation Operations that preserve set convexity Examples Convex Function Definition Derivative tests Operations that preserve convexity Examples Quadratic Programs.

320 views • 13 slides

Online convex optimization Gradient descent without a gradient

439 views • 12 slides