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![Why study algorithms?
To be able solve problems that could not otherwise be addressed
Example: Network connectivity
[stay tuned]
6](https://image.slidesharecdn.com/dsada-120212022804-phpapp01/75/Ds-ada-6-2048.jpg)
![Why study algorithms?
They may unlock the secrets of life and of the universe.
Computational models are replacing mathematical models
in scientific enquiry
for (double t = 0.0; true; t = t + dt)
E = mc 2 for (int i = 0; i < N; i++)
Gm1 m 2
F = {
F = ma r2 bodies[i].resetForce();
for (int j = 0; j < N; j++)
if (i != j)
h2 2 bodies[i].addForce(bodies[j]);
+ V (r) (r) = E (r) }
2m
20th century science 21st century science
(formula based) (algorithm based)
8](https://image.slidesharecdn.com/dsada-120212022804-phpapp01/75/Ds-ada-8-2048.jpg)
![Resources (books)
Algorithms in Java, 3rd edition
• Parts 1-4. [sorting, searching]
• Part 5. [graph algorithms]
Introduction to Programming in Java
• basic programming model
• elementary AofA and data structures
Algorithms in Pascal(!)/C/C++, 2nd edition
• strings
• elementary geometric algorithms
Algorithms, 4th edition
(in preparation)
14](https://image.slidesharecdn.com/dsada-120212022804-phpapp01/75/Ds-ada-14-2048.jpg)
Uploaded byNagesh V
Ds & ada
The document provides an overview of the Computer Science 226 Algorithms and Data Structures course offered at Princeton University in Fall 2007. It discusses the instructors, topics covered including data types, sorting, searching, graphs and strings. It outlines the coursework, resources, and textbooks. The goals of studying algorithms are also summarized, such as their broad impact, intellectual stimulation, and potential to solve problems.
Ds & ada
- 1. Computer Science 226 Algorithms and Data Structures Fall 2007 Instructors: Bob Sedgewick Kevin Wayne Copyright © 2007 by Robert Sedgewick and Kevin Wayne.
- 2. Course Overview outline why study algorithms? usual suspects coursework resources (web) resources (books) 2
- 3. COS 226 courseoverview What is COS 226? •Intermediate-level survey course. •Programming and problem solving with applications. •Algorithm: method for solving a problem. •Data structure: method to store information. Topic Data Structures and Algorithms data types stack, queue, list, union-find, priority queue sorting quicksort, mergesort, heapsort, radix sorts searching hash table, BST, red-black tree, B-tree graphs BFS, DFS, Prim, Kruskal, Dijkstra strings KMP, Rabin-Karp, TST, Huffman, LZW geometry Graham scan, k-d tree, Voronoi diagram 3
- 4. Why study algorithms? Their impact is broad and far-reaching Internet. Web search, packet routing, distributed file sharing. Biology. Human genome project, protein folding. Computers. Circuit layout, file system, compilers. Computer graphics. Movies, video games, virtual reality. Security. Cell phones, e-commerce, voting machines. Multimedia. CD player, DVD, MP3, JPG, DivX, HDTV. Transportation. Airline crew scheduling, map routing. Physics. N-body simulation, particle collision simulation. … 4
- 5. Why study algorithms? Old roots, new opportunities 300 BC Study of algorithms dates at least to Euclid Some important algorithms were discovered by undergraduates! 1920s 1940s 1950s 1960s 1970s 1980s 1990s 2000s 5
- 6. Why study algorithms? To be able solve problems that could not otherwise be addressed Example: Network connectivity [stay tuned] 6
- 7. Why study algorithms? For intellectual stimulation 7
- 8. Why study algorithms? They may unlock the secrets of life and of the universe. Computational models are replacing mathematical models in scientific enquiry for (double t = 0.0; true; t = t + dt) E = mc 2 for (int i = 0; i < N; i++) Gm1 m 2 F = { F = ma r2 bodies[i].resetForce(); for (int j = 0; j < N; j++) if (i != j) h2 2 bodies[i].addForce(bodies[j]); + V (r) (r) = E (r) } 2m 20th century science 21st century science (formula based) (algorithm based) 8
- 9. Why study algorithms? For fun and profit 9
- 10. Why study algorithms? • Their impact is broad and far-reaching • Old roots, new opportunities • To be able to solve problems that could not otherwise be addressed • For intellectual stimulation • They may unlock the secrets of life and of the universe • For fun and profit 10
- 11. The Usual Suspects Lectures: Bob Sedgewick •TTh 11-12:20, Bowen 222 •Office hours T 3-5 at Cafe Viv in Frist Course management (everything else): Kevin Wayne Precepts: Kevin Wayne • Thursdays. 1: 12:30 Friend 110 2: 3:30 Friend 109 • Discuss programming assignments, exercises, lecture material. • First precept meets Thursday 9/20 • Kevin’s office hours TBA Need a precept time? Need to change precepts? • email Donna O’Leary (CS ugrad coordinator) [email protected] Check course web page for up-to-date info 11
- 12. Coursework and Grading 7-8 programming assignments. 45% • Due 11:55pm, starting Monday 9/24. • Available via course website. Weekly written exercises. 15% •Due at beginning of Wednesday lecture, starting 9/24. •Available via course website. Exams. Final • Closed-book with cheatsheet. • Midterm. 15% Programs • Final. 25% HW Staff discretion. Adjust borderline cases. • Participation in lecture and precepts Midterm • Everyone needs to meet us both at office hours! Challenge for the bored. Determine importance of 45-15-15-25 weights 12
- 13. Resources (web) Course content. http://www.princeton.edu/~cos226 • syllabus • exercises • lecture slides • programming assignments (description, code, test data, checklists) Course administration. https://moodle.cs.princeton.edu/course/view.php?id=24 • programming assignment submission. • grades. Booksites. http://www.cs.princeton.edu/IntroCS http://www.cs.princeton.edu/IntroAlgsDS • brief summary of content. • code. • links to web content. 13
- 14. Resources (books) Algorithms in Java, 3rd edition • Parts 1-4. [sorting, searching] • Part 5. [graph algorithms] Introduction to Programming in Java • basic programming model • elementary AofA and data structures Algorithms in Pascal(!)/C/C++, 2nd edition • strings • elementary geometric algorithms Algorithms, 4th edition (in preparation) 14
- 15. Union-Find 15