PPT-CSE332: Data Abstractions
Author : briana-ranney | Published Date : 2016-12-11
Lecture 21 Amortized Analysis Dan Grossman Spring 2010 Amortized Recall our plainold stack implemented as an array that doubles its size if it runs out of room
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CSE332: Data Abstractions: Transcript
Lecture 21 Amortized Analysis Dan Grossman Spring 2010 Amortized Recall our plainold stack implemented as an array that doubles its size if it runs out of room How can we claim push is O. Introduction Softwarede64257ned networking SDN has received a lot of attention in recent years as a means of addressing some of the longstanding challenges in networking SDN starts from two simple ideas i generalize network hardware so it provide for . SoC. . Verification. Pramod Subramanyan. , . Yakir. . Vizel. , . Sayak. Ray and Sharad . Malik. FMCAD . 2015. On-chip Interconnect. CPU. GPU. Camera. Touch. Flash. DMA. WiFi. /3G. GPS. …. MMU+. String . Verification. Given a string manipulating program, . string . analysis . determines . all possible values . that a string expression can take during any program execution. Using string analysis we . 6/16/2010. Parallel Programming Abstractions. 1. Tasks . vs. Threads. Similar but not the same.. 6/16/2010. Parallel Programming Abstractions. 2. h/w processors. Operating System. T. hreads. Task Scheduler. Eurocrypt. May 1. st. , 2017. Rafael Pass, Elaine Shi, . Florian Tramèr. Trusted hardware: . Different . communities. , different . world views. Crypto. Architecture. Systems. & . Security. “Minimal” trusted . Lecture . 27. : . A Few Words on NP. Dan Grossman. Spring 2010. This does not belong in CSE332. This lecture mentions some highlights of . NP. , the . P. vs. . NP. question, and . NP. -completeness. Lecture 7: AVL Trees. Tyler Robison. Summer 2010. 1. The AVL Tree Data Structure. An AVL tree is a BST. In addition: Balance . property:. balance of every node is. between -1 and . 1. balance. (. node. Dictionary ADT. : Arrays, Lists and . Trees. Kate Deibel. Summer 2012. June 27, 2012. CSE 332 Data Abstractions, Summer 2012. 1. Where We Are. Studying the absolutely essential ADTs of computer science and classic data structures for implementing them. Cynthia Lee. CS106X. Today’s Topics. Quick final exam discussion. Details/logistics, topics, sources for practice problems. Quarter wrap-up. Putting it all together: what have we accomplished together this quarter?. Priority Queues, Heaps, and a Small Town Barber. Kate Deibel. Summer 2012. June 25, 2012. CSE 332 Data Abstractions, Summer 2012. 1. Announcements. David's Super Awesome Office Hours. Mondays 2:30-3:30 CSE 220. Cynthia Lee. CS106B. Today’s Topics. Quick final exam discussion. Details/logistics, topics, sources for practice problems. Quarter wrap-up. Putting it all together: what have we accomplished together this quarter?. Lecture 6: Dictionaries; Binary Search Trees. Dan Grossman. Spring 2010. Where we are. Studying the absolutely essential ADTs of computer science and classic data structures for implementing them. ADTs so far:. Lecture 15: Introduction to Graphs. Dan Grossman. Spring 2010. Graphs. A graph is a formalism for representing relationships among items. Very general definition because very general concept. A . graph. Lecture 5: Binary Heaps, Continued. Dan Grossman. Spring 2010. Review. Priority Queue ADT: . insert. comparable object, . deleteMin. Binary heap data structure: Complete binary tree where each node has priority value greater than its parent.
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