PPT-Priority Queues and Heaps

Lecture 16 CS2110 Spring 2015 Readings and Homework Read Chapter 26 A Heap Implementation to learn about heaps Exercise Salespeople often make matrices that show all the great features of their product that the competitors product lacks Try this for a heap versus a BST First try and . Priority queues are fundamental in the design of modern multiprocessor algorithms with many classical applications ranging from numerical algorithms through discrete event simulation and expert systems While highly scalable approaches have been intr Data . Structures. Self-Adjusting. Data . Structures. 2. Lists. [D.D. . Sleator. , R.E. . Tarjan. , . Amortized Efficiency of List Update Rules. , Proc. 16. th. Annual ACM Symposium on Theory of Computing, 488-492, 1984]. . Schütze. and Christina . Lioma. Lecture . 20: Crawling. 1. Overview. . R. ecap . . A simple crawler. . A real crawler. 2. Outline. . R. ecap . . A simple crawler. . A real crawler. 3. 4. Search. Data . Structures. Self-Adjusting. Data . Structures. 2. Lists. [D.D. . Sleator. , R.E. . Tarjan. , . Amortized Efficiency of List Update Rules. , Proc. 16. th. Annual ACM Symposium on Theory of Computing, 488-492, 1984]. Lecture 17. CS2110 Fall 2015. Readings and Homework. Read Chapter 26. “A Heap Implementation” to learn about heaps. Exercise: . Salespeople often make matrices that show all the great features of their product that the competitor’s product lacks. Try this for a heap versus a BST. First, try and . Cynthia Bailey Lee. Some slides and figures adapted from Paul . Kube’s. CSE 12. .  .                          . CS2 in Java Peer Instruction Materials by . Cynthia Lee. Advisor : Prof. Surender Baswana. - Shivam Taji. UGP Workflow. Attempted solving complex range query problems using Augmented Binary Trees. A Data Structure for Dynamic Trees. Analysis of Splay Trees. Lecture . 16. CS2110 . Spring 2017. Announcements. Next week’s section: make your . BugTrees. . hashable. .. Watch the tutorial videos on hashing:. http://. www.cs.cornell.edu/courses/cs2110/2017sp/online/hashing/01hashing.html. Queues. 2. The Queue ADT. The . Queue. ADT stores arbitrary . objects. Insertions and deletions follow the first-in first-out . scheme (FIFO). Insertions are at the rear of the queue and removals are at the front of the . <number>. Adaptable Priority Queues. 3. a. 5. g. 4. e. © 2014 Goodrich, Tamassia, Goldwasser. Presentation for use with the textbook . Data Structures and Algorithms in Java, 6. th. edition. , by M. T. Goodrich, R. Tamassia, and M. H. Goldwasser, Wiley, 2014. A binary min-heap allows the operations of push and pop to occur . in an average case of . Q. (1). and . Q. (. ln. (. n. )). time, respectively. Merging two binary min-heaps, however, is an . Q. (. Prof. . Neary. Based on slides from previous iterations of this course. Today’s Topics. Review of Min Heaps. Introduction of Left-. ist. Heaps. Merge Operation. Heap Operations. Review of Heaps. Min Binary Heap. Making queues a first class citizen : Abstracting queues in the UApi Magnus Karlsson & Björn Töpel, Intel Problem Statement 2 bind(af_xdp_fd, netdev, queue_id) Ethtool using queue_id UAPI Drivers decide what queue ids to use for what. No standard QUeues. Today. HW 2 grades went out yesterday. Many of the problems seemed to be a problem with rigor. In proofs, justify what you’re saying and make as much explicit as you can. Today. HW 2 grades went out yesterday.