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Sorting Algorithm Animations

Sorting Algorithm Animations
Discussion These pages show 8 different sorting algorithms on 4 different initial conditions. These visualizations are intended to: Show how each algorithm operates. Show that there is no best sorting algorithm. Show the advantages and disadvantages of each algorithm.

http://www.sorting-algorithms.com/

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CS 240 Computer Science II Syllabus Spring 2008 SYLLABUS This page last changed 6/19/08 Objectives: To develop skills in the design and development of computer software continuing to utilize an object-oriented language, packages, modules and libraries. To develop understanding and build skills in the implementation and use of common data structures used in software development through data abstraction. To further study the Java language and learn to use UNIX as a software design environment. Java SE 7 Collections-Related APIs and Developer Guides The collections framework is a unified architecture for representing and manipulating collections, enabling them to be manipulated independently of the details of their representation. It reduces programming effort while increasing performance. It enables interoperability among unrelated APIs, reduces effort in designing and learning new APIs, and fosters software reuse.

Common Data Structures and Algorithms Estimated Time: 1-2 hrs The basic idea of a data structure is to store data in a way that meets the needs of your particular application. You might be inclined to store a particular kind data in one giant array, but it would be rather time consuming to locate a specific value if you had a significant number and depth of items. So you need to look to other options.

Algorithms and Data Structures Algorithm: a process or set of rules used for calculation or problem-solving, esp. with a computer.Program: a series of coded instructions to control the operation of a computer or other machine. Example Problem: Find the greatest common divisor (GCD) of two integers, m and n.Euclid's Algorithm: while m is greater than zero: If n is greater than m, swap m and n. Subtract n from m. n is the GCD How to build an app: 36 great tutorials You've got a great idea but you need some help – discover how to make an app for Android, iOS or Windows with these easy-to-follow tutorials for everyone from amateurs to pros. In a world where smartphone use is rising exponentially, the opportunities to make a name for yourself, not to mention a ton of money, by turning your app idea into reality are huge. So whether you're building for Android or iOS, there are several tutorials here to help you.

Reverse a linked list in java « Think ! If you search for it you will get millions of solutions but sadly (like many things in internet) the first few solutions seem unintuitive and unnecessarily complex for such a simple problem, not sure why, anyway putting mine out there for somebody to point out why I should go for a more complex solution. [in java for a change] Idea : Use two references and reverse their links and proceed till we reach the end public void reverse_iterative { if(isEmpty()) { return;} //curr == null Node currNode,nextNode , loopNode; currNode = head; nextNode = head.next; head.next = null; while(nextNode ! How to reverse a linked list in java This is one of popular interview question. Part-1:How to detect a loop in linked list in java Part-2:How to find middle element of linked list in java Part-3:How to find nth element from end of linked list Part-4:How to reverse a linked list in java There can be two solution for reversing linked listIterativeRecursive Iterative:

Data Structures and Algorithms Estimated Time: 6-10 hours Don't forget to use Git to save your projects! Project 1: Searching Binary Trees You learned about binary search trees -- where you take a group of data items and turn them into a tree full of nodes where each left node is "lower" than each right node. The tree starts with the "root node" and any node with no children is called a "leaf node". You also learned about tree search algorithms like breadth-first-search and depth-first-search.

Help the judge All submissions for this problem are available. A scandal has been revealed in the ruling political party: there is a large case of corruption! You are the judge in the case, and you have a lot of evidence at your disposal. Unfortunately, some of the statements may potentially contradict the others. New programming slang - Programming A question recently posted on stackoverflow.com asked for people to submit programming terms that they or their team have coined and have come into regular use in their own circles. Below are the most popular answers Yoda Conditions The act of using if (constant == variable) instead of natural if (variable == constant),; for example, if (4 == foo). Lectures 1 and 2: Analysis of Algorithms I just finished watching the last lecture of MIT's "Introduction to Algorithms" course. Having a great passion for all aspects of computing, I decided to share everything I learned with you, my dear readers! This is the first post in an article series about this course. As I wrote earlier, I am very serious about watching video lectures. If they are math-intensive, I usually take notes as if I were in the classroom. Lectures in this course were exactly like that -- logarithms, big-o's, thetas, expectations, and all the other math guys fighting with each other on the blackboards.

Artificial Intelligence This is an Archived Course EdX keeps courses open for enrollment after they end to allow learners to explore content and continue learning. All features and materials may not be all available. Check back often to see when new course start dates are announced. Artificial intelligence is already all around you, from web search to video games. Ruby Algorithms: Sorting, Trie & Heaps - igvita.com By Ilya Grigorik on March 26, 2009 A good choice of an algorithm or a data structure can make or break an application. By and large, Ruby provides enough native primitives such as Array, Hash, and Set, to get you by in most cases, but we've all ran into situations where the performance or the memory footprint of these structures left us wanting for more. Sensing a nice opportunity, Kanwei Li and Austin Ziegler partnered up for the '08 Google Summer of Code (GSoC) to translate some of the most well known algorithms and data structures into Ruby, resulting in implementations of nine different containers and ten different search and sorting algorithms! And while I would encourage you to explore the entire project, a few aspects deserve special attention: first, there is the question of performance of sorting algorithms in Ruby, and second, Trie, Heap and Priority Queues are data structures worth keeping in mind.

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