PPT-An Optimization Example 1

Roadmap 2 Last time Path problems Shortestdistance problem Started on concrete semantics Showing you the how but not the why Today the why Via an optimization example 3. KarlineSoetaert3example(image3D)example(contour3D)example(colkey)example(jet.col)example(perspbox)example(mesh)example(trans3D)example(plot.plist)example(ImageOcean)example(Oxsat)2.Functionsimage2Dand Pritam. . Sukumar. & Daphne Tsatsoulis. CS 546: Machine Learning for Natural Language Processing. 1. What is Optimization?. Find the minimum or maximum of an objective function given a set of constraints:. Buffalo Bill’s Ranch, North Platte, Nebraska. Greg Kelly, Hanford High School, Richland, Washington. Photo by Vickie Kelly, 1999. Optimization. Applying Calculus and its methods for finding minimums and maximums in real life situations such as. Lauren Feinstein . lpf24@cornell.edu. Vladimir . Kovalevsky vk285@cornell.edu. Nicolas . Begasse. . nb442@cornell.edu. Presentation Overview. Optimization Overview. Disc Brake Analysis. Response Surface Optimization. TVCG 2013. Sungkil. Lee, Mike Sips, and Hans-Peter Seidel. Introduction. Class Visibility. Optimization . Example. Conclusion. Outline. Principles of effective color palettes (Trumbo, 1981) . Order: colors chosen to present an ordered statistical variables should be perceived as preserving that order. . Jonathan Hollingshead. Terms used in this presentation. Web page or page – a single document . on the Internet, typically with a single topic. Web site or site – a collection of individual web pages interconnected by hyperlinks. Example:The8-puzzle Example:The8-puzzle(cont'd)Istates:integerlocationsoftiles(ignoreintermediatepositions)Iactions:moveblankleft,right,up,down(ignoreunjammingetc.)Igoaltest:=goalstate(given)Ipathcost Maximizing Returns in Late Stage Collections . Paul Robinson. Associate Vice President. Canadian Tire Bank. Matt LaHood. Sr. Director. FICO. Canadian Tire Overview. Optimization Process Overview. Settlement Optimization Analytics. D. A. Gates. 1. , A. H. Boozer. 2. , T. Brown. 1. , J. Breslau. 1. , D. Curreli. 3. , M. Landreman. 4. , S. A. Lazerson. 1. , . J. Lore. 5. , H. . Mynick. 1. , G.H. Neilson. 1. , N. Pomphrey. 1. , P. . HISHAM KAMAL SAYED . BROOKHAVEN NATIONAL . LABORATORY. June 26, 2014. Collaboration: . J. S. Berg . - . X. Ding . - . V.B. . Graves . - . H.G. . Kirk - . K.T. McDonald . - D. . Neuffer. . - R. Prof. O. . Nierstrasz. Lecture notes by Marcus . Denker. © Marcus . Denker. Optimization. Roadmap. Introduction. Optimizations in the Back-end. The Optimizer. SSA Optimizations. Advanced Optimizations. linda. m. Collins. penn. state. Presidential address at the Annual Meeting of the Society for Prevention Research, 2011. Overv. iew. Prevention. in the 21. st. century (so far). Cancer. prevention and manufacturing of truck leaf springs. Computer Science & Engineering Department. The University of Connecticut. 371 Fairfield Way, Unit 2155. Storrs, CT 06269-3155. steve@engr.uconn.edu. http://www.engr.uconn.edu/~steve. (860) 486 - 4818. Classification of algorithms. The DIRECT algorithm. Divided rectangles. Exploration and Exploitation as bi-objective optimization. Application to High Speed Civil Transport. Global optimization issues.