PPT-CMSC451: Algorithms Lecture 3

Reminders HW1 is out on ELMS Gradescope Check that you can upload No class Monday Labor Day No inperson lecture on Wednesday Lecture will be prerecorded available on ELMS Stable matching. 409 The Behavior of Algorithms in Practice 2142 Lecture3 Lecturer Dan Spielman Scribe Arvind Sankar 1 Largest singular value In order to bound the condition number we need an upper bound on the largest singular va C Berkeley CS270 Algorithms Lecture 15 Professor Vazirani and Professor Rao Scribe Anupam Last revised Lecture 15 1 Streaming Algorithms Frequent Items Recall the streaming setting where we have a data stream x CS 477/677. Instructor: Monica Nicolescu. Lecture 2. CS 477/677 - Lecture 2. 2. Algorithm Analysis. The amount of resources used by the algorithm. Space. Computational time. Running time:. The number of primitive operations (steps) executed before termination. 1.204 Lecture 10 K k ( i t l b d t i ) K napsac k ( cap it a l b u d ge ti ng ) Job scheduling  Greedy method • Local im p p rov l in man y cases w h ere • Objecti v es 1 G52CON Lecture 5: Algorithms for Mutual Exclusion IOutline of this lecture CS 477/677. Instructor: Monica Nicolescu. Lecture . 13. CS 477/677 - Lecture 13. Midterm Exam. Tuesday, . March 8 . in . classroom. 75 minutes. Exam structure:. TRUE/FALSE questions. short questions on the topics discussed in class. CS 477/677. Instructor: Monica Nicolescu. Lecture . 4. CS 477/677 - Lecture 4. 2. Recurrences and Running Time. Recurrences arise when an algorithm contains recursive calls to itself. What is the actual running time of the algorithm?. Lecture 15 CompSci. 590.03. Instructor: . Ashwin. . Machanavajjhala. 1. Lecture 3 : 590.03 Fall 12. Announcements. Project ideas are posted on the site. . You are welcome to send me (or talk to me about) your own ideas.. 2. 　. Turing machine. 　. RAM (. Figure . ). 　. Logic circuit model. . RAM . (Random Access Machine). Operations . supposed to be executed in one unit time. (1). 　. Control operations such as. Let's first look at the . tests for 1 search. :. N. lg. 2. N. 8. 3. 16. 4. 1M. 20. 1G. 30. …. …. 64. 6. 32. 5. 1024. 10. 3. Lecture 9: Algorithm Analysis. Now consider multiple searches. Let's say for example I need to do 1 million searches of 1 million items. Instructor: Monica . Nicolescu. Lecture 4. CS 477/677 - Lecture 4. 2. Methods for Solving Recurrences. Iteration method. Substitution method. Recursion tree method. Master method. CS 477/677 - Lecture 4. We have discussed two classes of cryptographic assumptions. Factoring-based (factoring, RSA assumptions). Dlog. -based (. dlog. , CDH, and DDH assumptions). In two classes of groups. A. ll these problems are believed to be “hard,” i.e., to have no polynomial-time algorithms. Cyclic group G of order q with generator g.  G.  . G = {g. 0. , g. 1. , …, g. q-1. }. For any h .  G, define . log. g. h .  {0, …, q-1} as. . log. g. h = x  .