'Trust region' diaporamas de présentation

Segmentation with non-linear constraints on appearance, complexity, and geometry

IPAM February 2013. W estern Univesity. Segmentation with non-linear constraints on appearance, complexity, and geometry. Hossam Isack. Andrew Delong. Lena Gorelick. Anton Osokin. Frank Schmidt. Olga Veksler. Yuri Boykov. Overview. Standard linear constraints on segments

862 views • 73 slides

Kuo-Hao Chang Advisor: Hong Wan School of Industrial Engineering, Purdue University

Stochastic Trust Region Gradient-Free Method (STRONG) -A Response-Surface-Based Algorithm in Stochastic Optimization via Simulation. Kuo-Hao Chang Advisor: Hong Wan School of Industrial Engineering, Purdue University.

611 views • 46 slides

Optimization

Optimization. COS 323. Ingredients. Objective function Variables Constraints. Find values of the variables that minimize or maximize the objective function while satisfying the constraints. Different Kinds of Optimization.

473 views • 40 slides

Growing Secure Distributed Systems from a Spore

Growing Secure Distributed Systems from a Spore. Yunus Basagalar, Vassilios Lekakis and Pete Keleher University of Maryland, College Park. P roblem. Outsourcing data is trendy geographically r eplicated no downtime Inherently insecure implicit trust. Goal. Remove implicit trust

470 views • 31 slides

Control Structure Selection for a Methanol Plant using Hysys / Unisim

515 views • 26 slides

OR682/Math685/CSI700

OR682/Math685/CSI700. Lecture 5 Fall 2000. Nonlinear Equations. Solving f ( x ) = 0 (1 equation, n equations) Assume that [# of equations] = [# of variables] Closely related to: minimize F ( x ) Solve: ? F ( x ) = 0

614 views • 20 slides

REPS: Scalable Reputation Management for P2P MMOGs

282 views • 18 slides

Happy 60 th Birthday!

258 views • 10 slides

Survey of unconstrained optimization gradient based algorithms

Survey of unconstrained optimization gradient based algorithms. Unconstrained minimization Steepest descent vs. conjugate gradients Newton and quasi-Newton methods Matlab fminunc. Unconstrained local minimization. The necessity for one dimensional searches

304 views • 5 slides