Lecture Details :
Computer Algorithms - 2 by Prof. Shashank K. Mehta, Department of Computer Science Engineering, IIT Kanpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Course Description :
This course assumes the knowledge of data-structures.
It also assumes the knowledge big-O notation and the concept of time and space complexity of an algorithm.
The course also will not introduce divide and conquer, dynamic programming, and greedy paradigms.
The course will discuss eff cient algorithms from a large number of domains.
Graph algorithm: search algorithms, computation of strongly connected components, shortest distance algorithms, minimum spanning tree algorithms.
Network-flow algorithm: Ford-Fulkerson method; pref ow-push algorithm;
Geometric algorithm: convex-hull computation, line-segment intersection computation, closest-pair computation;
String matching: Rabin Karp algorithm, Knuth-Morris-Pratt algorithm, Boyer-Moore algorithm;
Matrix algorithms: Strassenís multiplication algorithm, LU decomposition, inverse computation; Polynomial computation algorithms: multiplication using DFT, division;
Number theoretic algorithms: division, solution of modular linear equation, primality testing.
Other Resources :
Other Computer Science Courses
- Search Engines Technology, Society, and Business by UC Berkeley
- Low Power VLSI Circuits and Systems by IIT Kharagpur
- CSEP 501 Compiler Construction by University of Washington
- PHP Stock Market Analyzer by Other
- Understanding Computers and the Internet by Harvard
- Introduction to Computer Science and Programming by MIT
- Digital Hardware Design by Other
- CSEP 544 Principles of Database Systems by University of Washington
- Discrete Mathematical Structures by IIT Madras
» check out the complete list of Computer Science Video lectures
Computer Science Lecture Notes
- CS345 Data Mining and Clustering by Stanford
- Pixels, Numbers, and Programs by University of Washington
- CSE 373/548: Analysis of Algorithms by Stony Brook University
- CS 696 Emerging Technologies: Java Distributed Computing by UC San Diego
- Software Engineering and Security by Athens University of Economics and Business
- Information Retrieval by University of Massachusetts
- CS368: Java for C++ Programmers by University of Wisconsin
- Introduction to Java Development by N/A
- CPS 140 Computer Science by Duke University