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CSE 332 Data Abstractions: Disjoint Set Union-Find and Minimum Spanning Trees

CSE 332 Data Abstractions: Disjoint Set Union-Find and Minimum Spanning Trees

CSE 332 Data Abstractions: Disjoint Set Union-Find and Minimum Spanning Trees. Kate Deibel Summer 2012. Making Connections. You have a set of nodes (numbered 1-9) on a network. You are given a sequence of pairwise connections between them: 3-5 4-2 1-6 5-7 4-8 3-7

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1.13k views • 89 slides
Python Programming: An Introduction to Computer Science

Python Programming: An Introduction to Computer Science

Python Programming: An Introduction to Computer Science. Chapter 9 Simulation and Design. Objectives. To understand the potential applications of simulation as a way to solve real-world problems. To understand pseudorandom numbers and their application in Monte Carlo simulations.

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1.04k views • 79 slides
Python Programming: An Introduction to Computer Science

Python Programming: An Introduction to Computer Science

Python Programming: An Introduction to Computer Science. Chapter 9 Simulation and Design. Objectives. To understand the potential applications of simulation as a way to solve real-world problems. To understand pseudorandom numbers and their application in Monte Carlo simulations.

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1.06k views • 79 slides
Images

Images

Images. Understand the visual elements that make up the MM screen. Which would you use to learn about water cycle?. Manipulate images:. Scale images to different size Color or make images transparent Placed behind or in front of other objects Blend the colors Add effects.

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985 views • 67 slides
Short overview of Weka

Short overview of Weka

Short overview of Weka. Weka : Explorer. Visualisation. Attribute selections. Association rules. Clusters. Classifications. Weka : Memory issues. Windows Edit the RunWeka.ini file in the directory of installation of Weka maxheap =128m -> maxheap =1280m Linux

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1.19k views • 65 slides
Chapter 7 UNIX and LINUX

Chapter 7 UNIX and LINUX

Chapter 7 UNIX and LINUX. Outline. Overview Processes in UNIX Memory management in UNIX I/O in UNIX UNIX file system. Overview. Why some programmers like UNIX better than Windows?

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818 views • 48 slides
Lesson 7

Lesson 7

Parallel Machines ( P | pmtn|C max , P | pmtn ; r i |L max , Q | pmtn|C max , Q | pmtn ; r i |L max ). Lesson 7. Short Review.

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463 views • 44 slides
Algorithms

Algorithms

2.2. Algorithms. Overview. In this presentation we will discuss: What is an algorithm? 5 steps in developing an algorithm A Jeroo example. An algorithm is. A plan for solving a problem 5 steps in algorithm development Describe the problem clearly Analyze the problem

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435 views • 18 slides
Robust Real-time Control Systems

Robust Real-time Control Systems

Robust Real-time Control Systems Reliability through algorithm design, execution and system engineering. Raktim Bhattacharya Assistant Professor raktim@aero.tamu.edu. Department of Aerospace Engineering H.R. Bright Building, Rm. 701, Ross Street - TAMU 3141 College Station TX 77843-3141.

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351 views • 17 slides
Counting Inversions I

Counting Inversions I

Divid e and Conquer. Counting Inversions I. Design and Analysis of Algorithms I. The Problem. Examples and Motivation. What is the largest-possible number of inversions that a 6-element array can have?. 15. 21. High-Level Approach. High-Level Algorithm.

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230 views • 6 slides

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