PPT-LP Examples: another Max and a min

Dr Ron Lembke Example 2 mp3 4 min electronics 2 min assembly DVD 3 min electronics 1 min assembly Min available 240 elect 100 assy Profit unit mp3 7 DVD 5. at V CC 6 V Low power dissipation standby state CC 4 A max at T 25C active state CC 200 A max at V CC 6V High noise immunity NIH V NIL 28 CC min Symmetrical output impedance I OH I OL 4 mA min Balanced propagation delays PLH t PHL Wide opera 2 02 02 02 Flash point TOC F T 79 100 150 150 150 Distillation test T 78 Distillate percentage by volume of tota l distillate to 680F to 437F 25 10 to 500F 40 70 15 55 35 15 to 600F 75 93 60 87 45 80 15 75 Residue from distillation volume Introduction to human body as a whole 2 Bone Only nomenclature 3 Study of cell with special reference to cardiac cells conduction tissue pericardium 4 Blood cells groups transfusion reactions 5 Joints and their types names eg Elbow hip etc 6 Muscl 1017 S CLOSED FORM FORMULA FOR THE NUMBER OF RESTRICTED COMPOSITIONS GA SPER JAKLI C VITO VITRIH and EMIL ZAGAR Abstract In this paper compositions of a natural number are studied The number of restricted compositi ons is given in a closed form an ReferenzebeneMALESteckerFEMALEKupplerEDA C BDCGFBA min. max. min. max. A A Worst-Case Analysis. L. . Bertazzi. , B. Golden, and X. Wang. Route 2014. Denmark. June 2014 . 1. Introduction. In the min-sum VRP, the objective is to minimize the total cost incurred over all the routes. Cue soft triangle Mathew Hall. University of Sheffield. Background. State machines. Reverse engineered. Transition label only, no state names. State Machines. Small & Manageable. Large and difficult. http://www.flickr.com/photos/gattou/2285955438/sizes/m/. X. Wang, B. Golden, and E. . Wasil. INFORMS. San . Francisco. November 2014 . Introduction: Min-max objective. In the Multi-Depot VRP, the objective is to minimize the total distance traveled by all vehicles. !max mge2!T+2max mge!Tmax mg0(13)x0+_x0 !+max mge2!T2max mge!T+max mg0(14)Ifweassumetheworst-case,T=Tmax,thentheinequalitiesfromabovebecomemax mg(e!Tmax1)2x0+_x0 !++max mg(e!Tma &. Scaling. Shifting . and . Scaling functions. Activity 1. Activity. . A. Page 31. Activity B. Activity C. Page 32. Activity D. Activity E. Page 33. Activity F. Activity G. Page 34. Transformation of the Quadratic. Search. (game playing search). We have experience in search where we assume that we are the only intelligent . entity and . we have explicit control over the “world”.. Let us . consider what happens when we relax those assumptions.. Chapter . 4 . Adversarial Games. Two Flavors. Games of Perfect Information. Each player knows everything that can be known . Chess, Othello. Games of Imperfect Information. Player’s have partial knowledge. 1. PIM is a two-player game:. 12 marbles are arranged in a line.. Players take turns to remove marbles from the right end (i.e. you must remove the marbles with the lowest number(s) ). Players can remove 1, 2 or 3 marbles .