PPT-CSE 332 Data Abstractions:

Disjoint Set UnionFind and Minimum Spanning Trees Kate Deibel Summer 2012 August 13 2012 CSE 332 Data Abstractions Summer 2012 1 Making Connections You have a set of nodes numbered 19 on a network . Watercolor Paint - Abstractions. Watercolor Paint – Non-Representational. Pastel Abstractions. http://bmj.com/cgi/content/full/332/7555/1444 These include: References http://bmj.com/cgi/content/full/332/7555/1444#otherarticles 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. Spring 2016. Richard Anderson. Lecture . 2. 2. Announcements. Homework requires you get the textbook (Either 2. nd. or 3. rd. Edition). Section . Thursday. Homework #1 out today (Wednesday). Due at the . 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. Graphs and Graph Traversals. Kate Deibel. Summer 2012. July 25, 2012. CSE 332 Data Abstractions, Summer 2012. 1. Last Time. We introduced the idea of graphs and their associated terminology. Key terms included:. CSE 332 Data Abstractions: A Heterozygous Forest of AVL, Splay, and B Trees Kate Deibel Summer 2012 July 2, 2012 CSE 332 Data Abstractions, Summer 2012 1 From last time… Binary search trees can give us great performance due to providing a structured binary search. Lecture 19: Analysis of Fork-Join Parallel Programs. Dan Grossman. Spring 2010. Where are we. Done:. How to use . fork. , and . join. to write a parallel algorithm. Why using divide-and-conquer with lots of small tasks is best. 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 9: B Trees. Dan Grossman. Spring 2010. Our goal. Problem: A dictionary with so much data most of it is on disk. Desire: A balanced tree (logarithmic height) that is even shallower than AVL trees so that we can minimize disk accesses and exploit disk-block size. Thanks to Kasey Champion, Ben Jones, Adam Blank, Michael Lee, Evan McCarty, Robbie Weber, Whitaker Brand, Zora Fung, Stuart . Reges. , Justin Hsia, Ruth Anderson, and many others for sample slides and materials .... 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. Winter 2017. 1. Presentations on Monday. 2:30-4:20pm, Monday 3/13. No . more than 5 slides (including title slide. ). Time limit to be announced. Both partners should speak. Slides are due BY NOON (12pm) on Mon 3/13 to catalyst. CSE 373: Data Structures and Algorithms. CSE 332 SU 18 - Robbie Weber. 1. Adminstrivia. Project 0 due Wednesday . Fill out the Project 1 partner form . today!. Everyone needs to fill out the form. If you have a partner, .