Artificial Intelligence. Constraint Programming 3: The Party. Ian Gent ipg@cs.st-and.ac.uk. Artificial Intelligence. Constraint Programming 3. Part I : Formulation Part II: Progressive piss up at a yacht club. Constraint Satisfaction Problems .

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ByESE535: Electronic Design Automation. Day 15: March 18, 2009 Static Timing Analysis and Multi-Level Speedup. Today. Topological Worst Case not adequate (too conservative) Sensitization Conditions Timed Calculus Delay-justified paths Timed-PODEM Speedup. Compute ASAP schedule

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ByDecision Structures. Vertex represents decision Follow green (dashed) line for value 0 Follow red (solid) line for value 1 Function value determined by leaf value. Truth Table. Decision Tree. Variable Ordering. Assign arbitrary total ordering to variables e.g., x 1 < x 2 < x 3

ByCMSC 671 Fall 2001. Class #7 – Tuesday, September 25. Today’s class. Interleaving backtracking and consistency checking Variable-ordering heuristics Value-ordering heuristics Intelligent backtracking. Advanced Constraint Techniques.

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ByDistributions of Randomized Backtrack Search. Key Properties: I Erratic behavior of mean II Distributions have “ heavy tails ”. 2000. 500. Erratic Behavior of Search Cost Quasigroup Completion Problem. 3500!. sample mean. Median = 1!. number of runs. 1. Number backtracks.

ByLookahead Schemas. Foundations of Constraint Processing CSCE421/821, Spring 2009 www.cse.unl.edu/~choueiry/S09-421-821/ All questions to cse421@cse.unl.edu Berthe Y. Choueiry (Shu-we-ri) Avery Hall, Room 123B choueiry@cse.unl.edu Tel: +1(402)472-5444. Outline. Looking ahead Schemas

ByDecision Procedures An Algorithmic Point of View. BDDs Modified by Aditya Kanade E0 223 – Indian Institute of Science. Part I. Reminders - What is Logic Proofs by deduction Proofs by enumeration Soundness and Completeness Deciding Propositional Logic SAT tools BDDs. . . . . .

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