'Convex sets' diaporamas de présentation

Econ 600: Mathematical Economics

Econ 600: Mathematical Economics. July/August 2006 Stephen Hutton. Why optimization? . Almost all economics is about solving constrained optimization problems. Most economic models start by writing down an objective function. Utility maximization, profit maximization, cost minimization, etc.

2.54k views • 199 slides

Econ 600: Mathematical Economics

Econ 600: Mathematical Economics. July/August 2006 Stephen Hutton. Why optimization? . Almost all economics is about solving constrained optimization problems. Most economic models start by writing down an objective function. Utility maximization, profit maximization, cost minimization, etc.

2.1k views • 199 slides

My great amigo

I sincerely thank. My great amigo. Zoli. for being Zoli. I sincerely thank. this amigo. and. this amigo. for the kind invite. I wish to, humbly and most sincerely, thank the. The Society that publishes 2 of the very best. and holds meetings in exotic places.

1.27k views • 109 slides

POCS:

POCS:. A Specialized Application Tool for Signal Synthesis & Analysis Robert J. Marks II, CIA Lab Department of Electrical Engineering University of Washington Seattle, WA 98036 marks@ee.washington.edu.

1.04k views • 81 slides

Non-Linear Programming

Non-Linear Programming. Same structure variables objective function constraints No restrictions Except typically variables must be continuous. Examples. How to model binary variables x is 0 or 1 Equivalent continuous formulation x(1-x) = 0 NOT LINEAR!. Location Problem. Variables

521 views • 35 slides

Seminar of computational geometry

446 views • 34 slides

Hypercomplex convexity: known results and open problems

Hypercomplex convexity: known results and open problems. Yu. Zelinskii Institute of mathematics NAS Ukraine, Kyiv. 5 April 2013, Constanta Workshop . A new approach in theoretical and applied methods in algebra and analysis. Generalized convexity.

397 views • 32 slides

Geometric Interpretation of Linear Programs

Geometric Interpretation of Linear Programs. Chris Osborn, Alan Ray, Carl Bussema, and Chad Meiners 16 March 2005. Feasibility in 3-Space. Five total constraints; therefore 5 faces to the polyhedron. Simplex Illustrated: Initial Dictionary. Current solution: x 1 = 0 x 2 = 0 x 3 = 0

452 views • 32 slides

System of Linear Inequalities

System of Linear Inequalities. The solution set of LP is described by Ax ? b. Gauss showed how to solve a system of linear equations (Ax = b).

455 views • 28 slides

System of Linear Inequalities

System of Linear Inequalities. The solution set of LP is described by Ax ? b. Gauss showed how to solve a system of linear equations (Ax = b).

305 views • 28 slides

C&O 355 Mathematical Programming Fall 2010 Lecture 8

C&O 355 Mathematical Programming Fall 2010 Lecture 8. N. Harvey. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box .: A A A A A A A A A A. Polynomial Time Algorithms.

354 views • 26 slides

Chapter 3 Concepts from Geometry

Chapter 3 Concepts from Geometry. 3 .1 Line Segments 3.2 Hyperplanes and Linear Varieties 3.3 Convex Sets 3.4 Neighborhoods 3.5 Poly topes and Polyhedra.

381 views • 24 slides

EE369C Final Project: Accelerated Flip Angle Sequences

EE369C Final Project: Accelerated Flip Angle Sequences. Jan 9, 2012 Jason Su. Overview. Originally wanted to further explore view sharing but instead pursued more formal optimization approach particularly because I was interested in applying SPIRiT

286 views • 22 slides

Combinatorial Geometry

Combinatorial Geometry. ??? ???????? deng@tsinghua.edu.cn http://vis.cs.tsinghua.edu.cn:10020/~deng 2014?9?27???? ??7?44?. Radon's Theorem. Radon's partition

320 views • 14 slides