PDF-70Lecture 7: Iteration Abstraction and Iterators 7.1 Introduction In

71Notice the additional method remove in the class This method is not required to be implemented it is optional The method allows one to remove an element from while iterating over the elemen. Includes material S Russell P Norvig 19952003 with permission CITS4211 S equential Decision Problems Slide 167 brPage 2br 1 Sequential decision problems Previously concerned with single decisions where utility of each actions outcome is known This Datalog. Xin Zhang. , Ravi . Mangal. , . Mayur. . Naik. Georgia Tech. Radu. . Grigore. , . Hongseok. Yang. Oxford University. 6/10/2014. 2. Datalog. for . program . a. nalysis. Datalog. Programming Language Design and Implementation, 2014. Lecture 25: Iterators. Recap of Lecture 24. Introduction to STL. STL Components. Allocators. Vectors. Outline of Lecture 25. STL. . Iterators. . Iterator hierarchy. . Lists. Plug compatible. Major categories of STL. Data Structures and Algorithms. CS 244. Brent M. Dingle. , Ph.D.. Department of Mathematics, Statistics, and Computer Science. University of Wisconsin – . Stout. Based on the book: Data Structures and Algorithms in C++ (Goodrich, . 1. Joe Meehean. Concept. Iterator is placeholder in a . collection. Iterate through complex data structures. set: unordered collection of unique items. tree: non-linear data structure. without ordering operator[](. Jim Fawcett. CSE776 – Design Patterns. Fall 2014. . Intent. Provide a way to access elements of an aggregate object without exposing its underlying representation. Traverse many different data structures in a uniform way. Noam Brown. Carnegie Mellon University. Computer Science . Department. Review: Imperfect-Information Game Tree. Information . set. 0.3. 0.5. 0.2. 0.5. 0.5. Negotiations, security, poker. P1. P1. P1. C. Final Exam Review. About the final exam. Comprehensive – includes all material. Roughly equal weight-age to all topics. Will be based on material covered in class and textbook (especially those in lecture notes). Datalog. Xin Zhang. , Ravi . Mangal. , . Mayur. . Naik. Georgia Tech. Radu. . Grigore. , . Hongseok. Yang. Oxford University. 6/10/2014. 2. Datalog. for . program . a. nalysis. Datalog. Programming Language Design and Implementation, 2014. On Abstraction Refinement for Program Analyses in Datalog Xin Zhang , Ravi Mangal , Mayur Naik Georgia Tech Radu Grigore , Hongseok Yang Oxford University 6/10/2014 2 Datalog for program a Way of classifying information from abstract (general) to concrete (specific) . . Level 4:. Abstractions. Level 3: . Noun Classes, broad group names with little specification. Level 2:. Noun Categories, more definite groups. Large software systems enormously complex. Millions of “moving parts”. People expect software to be malleable. After all, it’s “only software”. We are always trying to do new things with software. Slide . 1. PHY Abstraction for MU-MIMO. Date:. 2010-07-11. Authors: . Name. Affiliations. Address. Phone. email. Riichi Kudo. NTT Corporation. Hikarino-oka Yokosuka-shi Japan. +81-46-859- 3140. kudo.riichi@lab.ntt.co.jp. Slide . 1. PHY Abstraction for MU-MIMO. Date:. 2010-07-11. Authors: . Name. Affiliations. Address. Phone. email. Riichi Kudo. NTT Corporation. Hikarino-oka Yokosuka-shi Japan. +81-46-859- 3140. kudo.riichi@lab.ntt.co.jp.