'Fundamental data structures' presentation slideshows

CS 11 Ocaml track: lecture 4

CS 11 Ocaml track: lecture 4. Today: modules. The idea of modules. What's the idea behind a "module"? Package up code so other people/programs can use it Control what parts of code are part of the interface part of the implementation only and hide the implementation part.

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Graphs: shortest paths & Minimum Spanning Tree(MST)

Graphs: shortest paths & Minimum Spanning Tree(MST). 15-211 Fundamental Data Structures and Algorithms. Ananda Guna April 8, 2003. Announcements. Homework #5 is due Tuesday April 15th. Quiz #3 feedback is enabled. Final Exam is Tuesday May 8 th at 8AM. Recap.

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CSE 332 Data Abstractions: Introduction and ADTs

CSE 332 Data Abstractions: Introduction and ADTs. Kate Deibel Summer 2012. Welcome!. We have 9 weeks to learn fundamental data structures and algorithms for organizing and processing information Classic data structures and algorithms: queues, trees, graphs, sorting, etc.

568 views • 41 slides

I/O-Algorithms

I/O-Algorithms. Lars Arge Spring 2009 March 3, 2009. I/O-Model. Parameters N = # elements in problem instance B = # elements that fits in disk block M = # elements that fits in main memory T = # output size in searching problem We often assume that M>B 2

487 views • 39 slides

Slow Insertion in an Ordered Array

Slow Insertion in an Ordered Array. Slow Searching in a Linked List. TREES. Trees provide both these characteristics, and are also one of the most interesting data structures. Objectives. Why you would want to use trees Some terminology for describing trees

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CSE332: Data Abstractions Lecture 1: Introduction; Stacks/Queues

CSE332: Data Abstractions Lecture 1: Introduction; Stacks/Queues. Dan Grossman Spring 2010. Welcome!. We have 10 weeks to learn fundamental data structures and algorithms for organizing and processing information

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Lists in Lisp and Scheme

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Design and Analysis of Algorithms

Design and Analysis of Algorithms. 4 th Semester Computer Engineering Spring 2015 Conf.dr.ing. Ioana Sora ioana.sora@cs.upt.ro. Our goal:. design algorithms that are correct and efficient. The Need for Correctness.

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CSE 326 Course Review

CSE 326 Course Review. David Kaplan Dept of Computer Science & Engineering Autumn 2001. Why (did we) study data structures?. Clever ways to organize information in order to enable efficient computation. Databases. AI. Theory. Graphics. Networking. Games. Systems. Applications.

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Introduction to CS II Data Structures

Introduction to CS II Data Structures. Hongwei Xi Comp. Sci. Dept. Boston University. Welcome!. The main focus of CS112 is on the design, analysis and implementation of fundamental data structures used throughout computer science.

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CS 315 Data Structures B. Ravikumar Office: 116 I Darwin Hall Phone: 664 3335

CS 315 Data Structures B. Ravikumar Office: 116 I Darwin Hall Phone: 664 3335 E-mail: ravi93@gmail.edu Course Web site: http://ravi.cs.sonoma.edu/cs315sp09. Textbook for the course:. Data Structures and Algorithm Analysis in C++ by Mark Allen Weiss. Class time Lecture:

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How to Prepare a Good Written Presentation

How to Prepare a Good Written Presentation. Sule Yildirim 21-Oct-05, HIHM. Our interests change in time.

211 views • 8 slides

What kind of data do I have?

124 views • 3 slides