The field of computer science, which studies efficiency of algorithms, is known as analysis of algorithms. Algorithms can be evaluated by a variety of criteria. Most often we shall be interested in the rate of growth of the time or space required to solve larger and larger instances of …
Lecture Notes | Design and Analysis of Algorithms ...
MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity.
Authorized adaptation from the United States edition, entitled Introduction to The Design & Analysis of Algorithms, 3rd edition, ISBN 978-0-13-231681-1 by Anany Levitin published by Pearson Education © 2012.
Algorithms=ProblemDefinition+Model The last three chapters specifically address three very important environments, namely parallel, memory hierarchy and streaming.
These are my lecture notes from 6.046, Design and Analysis of Algorithms, at the Massachusetts Institute of Technology, taught this semester (Spring 2017) by Professors Debayan Gupta 1 , Aleksander Madry 2 , and Bruce Tidor 3 .
This is CMSC 451: Design and Analysis of Algorithms. We will cover graphs, greedy algorithms, divide and conquer algorithms, dynamic programming, network ows, NP-completeness, and approximation algorithms. Homeworks are due every other Friday or so; NP-homeworks are typically due every other Wednesday. card for each type of homework.
3 Basics of Algorithm Analysis 44 3.1 Basics of Algorithm Complexity 44 3.2 Introduction to Time Complexity 45 3.3 Analysis of Iterative Algorithms 47 3.3.1 Measuring Input Size 47 3.3.2 Measuring Running Time 48 3.4 Best-, Worst-, and Average-case Complexity 55 3.5 Rate of Growth 56 Measuring Larger Inputs 56 3.6 Asymptotic Analysis 59
- 某些结果已被删除