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Showing posts with label Algorithm Analysis and design. Show all posts
Showing posts with label Algorithm Analysis and design. Show all posts

Introduction to Algorithms and Data Structures PPT and PDF SLIDES

[caption id="attachment_25326" align="alignleft" width="186" caption="Introduction to Algorithms and Data Structures"]Introduction to Algorithms and Data Structures[/caption]

Introduction to Algorithms and Data Structures


Instructor:David H Laidlaw

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Lecture Topics



PDF



PPT


Introduction and Seam Carving

PDF



PPT


Analysis of Algorithms

PDF



PPT


Operation Counting, Big-O, and Induction

PDF



PPT


More Induction, Expanding Stack Array, and Hashing

PDF



PPT


Binary Search Analysis, Stacks and Queues, and Hashing

PDF



PPT


More Hashing and Induction, Dictionary, Priority Queue, and Heaps

PDF



PPT


Drunken Paine, Dictionary, Jumble, Priority Queues, and Heaps

PDF



PPT


Heaps, Traversal, and Memory

PDF



PPT


Binary Trees and Counting Memory

PDF



PPT


Graphs, DAGs, Topological Sort

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PPT


Selection and Master Theorem

PDF



PPT


More Master Theorem, Quicksort, Comparison Sorting, and Radix Sort

PDF



PPT


Convex Hull

PDF



PPT


Midterm Review

PDF



PPT


More Graphs

PDF



PPT


Bellman-Ford

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PPT


Prim, Kruskal, Minimum Spanning Trees

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PPT


Union Find

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PPT


Cuts Graphs and Beyond

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PPT


Tree Properties, Applications

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PPT



 

Analysis of Algorithms PPT PDF Slides

AnalAnalysis of Algorithmsysis of A
                                                       Algorithm Analysis and design


Topic


Slides


Stable   matching




Greed




Shortest   path




Minimum   spanning tree




Divide   and conquer




Linear   time selection




Fast Fourier transform




Dynamic   programming




Negative   cycle




Linear   time reductions




Maximum   flow




Reductions   to max flow




Polynomial   time reductions




NP   completeness




Approximation   algorithms




Linear   programming




Average   case analysis




Amortized   analysis




Competitive   analysis




Wrapup




Acknowledgments




Binary   and binomial heaps


ppt   pdf


Fibonacci   heaps


ppt   pdf

lgorithmsAnalysis of Algorithms

Design and Analysis Of Algorithms Lecture Notes

Design and Analysis Of Algorithms


1. Introduction

2. Mathematics for Algorithmic

3. Greedy Algorithms

4. Divide & Conquer Algorithms

5. Dynamic Programming

6. Amortized Analysis

7. Hash Table

8. Binary Search Tree

9. Graph Algorithms

10.String Matching

11. Sorting

12. Linear-Time Sorting

13. Computational Geometry

14. Computational Complexity

15. Approximate Algorithms

16. Linear Programming

Algorithm and Complexity Analysis PPT PDF SLIDES DOWNLOAD

Algorithm and Complexity Analysis

Download Slides here:


Topic


Slides


In-class   Demos


Reading


Introduction


Stable   matching






Greedy algorithms


Greed






CLR,   Chapter 17


Shortest   path




CLR,   Chapter 25


Minimum   spanning tree






CLR,   Chapter 24


Divide-and-conquer   paradigm


Divide   and conquer






CLR,   Chapter 4, 8
31.2, 35.4


Linear   time selection




CLR   10.3


Fast   Fourier transform




CLR,   Chapter 32


Dynamic   programming


Dynamic   programming




CLR,   Chapter 16


Negative   cycle




CLR,   Chapter 26


Reductions


Linear   time reductions




CLR,   Chapter 31.5


Maximum   flow






CLR,   Chapter 27.1, 27.2


Reductions   to max flow




CLR,   Chapter 27.3


Polynomial   time reductions




CLR,   Chapter 36


Intractability   and coping with intractability


NP   completeness




Longest path song by Daniel Barrett


CLR,   Chapter 36


Approximation   algorithms






CLR,   Chapter 37
survey paper (optional)


Linear   programming




Scientific   American handout


Beyond   worst case complexity


Average   case analysis




CLR,   Chapter 8


Amortized   analysis






CLR,   Chapter 13-15, 18
Splay handout from Duke


Competitive   analysis




Paging


Conclusions


Wrapup






Acknowledgments




Data   Structures


Binary   and binomial heaps


ppt   pdf




Fibonacci   heaps


ppt   pdf


CLR   Chapter 20


Introduction To Algorithms Cormen PPT

Introduction To Algorithms Cormen
Description: This course will provide a rigorous introduction to the design and analysis of algorithms. We will discuss classic problems (e.g., sorting, traveling salesman problem), classic algorithm design strategies (e.g., divide-and-conquer, greedy approaches), and classic algorithms and data structures (e.g., hash tables, Dijkstra's algorithm). We will also analyze algorithm complexity throughout, and touch on issues of tractibility such as "NP-Completeness".
Texts: Required: Introduction to Algorithms (Second Edition) by Cormen, Leiserson, Rivest, and Stein, McGraw-Hill (2001).

This book is similar to the first edition, so you could probably get by with only the first edition. However, all homework problems assigned from the book will be referenced from the second edition; it is your responsibility to find a way to look them up. I strongly recommend that you buy the text rather than borrow it; this is one of only two text books that I still use on a regular basis. It is an indispensable reference.

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Click Below to Download the files :-

Lectures: A tentative schedule of lecture topics is given below.
NumberDateTopicSourceText
11/16Introduction, administration, time and space complexity

PPT

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21/18Basics: asymptotic notationPPT3.1-3.2
31/21Basics: recurrences (mergesort)PPT4.1
41/23Basics: recurrences continued, master theoremPPT4.3, 6.1-6.2
51/25Sorting: intro to heapsortPPT6, 7.1-7.3
61/28Sorting: heapsort, priority queuesPPT7.4
71/30Sorting: quicksortPPT5.1-5.3
82/1Sorting: quicksort average case analysisPPT5.4 last section
92/4Sorting: linear time sorting algorithmsPPT8.1-8.2
102/6Sorting: linear time algorithms continued; Order statistics: selection in expected linear timePPT8.3-8.4 9.1-9.2
112/8Order statistics: selection in worst-case linear timePPT9.3
122/11Review for examPPT
EXAM2/13EXAM 1: Basics, Sorting, Order Statistics--
132/15Structures: binary search treesPPT12.1-12.3
142/18Structures: red-black treesPPT13.1-13.2
152/20Structures: red-black trees (insertion)PPT13.3-13.4
162/22Structures: skip listsPPT--
172/25Structures: skip lists, hash tables PPT11.1-11.2
182/27Structures: hash tables (hash functions)PPT11.3-11.4
193/1Structures: hash tables (universal hashing)PPT11.3-11.4
203/4Augmenting structures: dynamic order statisticsPPT14.1-14.2
213/6Augmenting structures: interval treesPPT14.3
223/8Graph algorithms: the basicsPPT22.1-22.3
----SPRING BREAK--
233/18Graph algorithms: BFSPPT22.3
243/20Graph algorithms: DFSPPT23.1
EXAM3/22EXAM 2: Data structures--
--3/25Go over exam--
253/27Minimum spanning treesPPT23.2
263/29Shortest paths: Bellman-FordPPT24.1-24.3
274/1Shortest paths: DAG, Dijkstra's algorithmPPT
284/3Finish Dijkstra's. Kruskals algorithm; disjoint setsPPT21.1-21.3, 23.2
294/5Disjoint sets; amortized analysisPPT17.1-17.2
304/8Amortized analysis continuedPPT17.3-17.4
314/10Dynamic programming PPT15.1, 15.3
324/12Dynamic programming (longest common subsequence)PPT15.4
334/15Dynamic programming (knapsack problem)PPT
344/17Greedy algorithms PPT16.1-16.2
354/19NP-CompletenessPPT34.1-34.2
364/22NP-Completeness continuedPPT34.1-34.2
374/24NP-Completeness: reductionsPPT34.3-4
384/26NP-Completeness: reductionsPPT34.3-4
394/29Review for finalPPT--
EXAM5/9FINAL EXAMINATION: 2 PM--