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Peter Beens

Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne - 0 views

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    Textbook. The textbook Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne [ Amazon · Pearson · InformIT ] surveys the most important algorithms and data structures in use today. The textbook is organized into six chapters: Chapter 1: Fundamentals introduces a scientific and engineering basis for comparing algorithms and making predictions. It also includes our programming model. Chapter 2: Sorting considers several classic sorting algorithms, including insertion sort, mergesort, and quicksort. It also includes a binary heap implementation of a priority queue. Chapter 3: Searching describes several classic symbol table implementations, including binary search trees, red-black trees, and hash tables. Chapter 4: Graphs surveys the most important graph processing problems, including depth-first search, breadth-first search, minimum spanning trees, and shortest paths. Chapter 5: Strings investigates specialized algorithms for string processing, including radix sorting, substring search, tries, regular expressions, and data compression. Chapter 6: Context highlights connections to systems programming, scientific computing, commercial applications, operations research, and intractability.
Peter Beens

Processing (tutorial) - 1 views

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    "Processing cross platform and is a totally free to download, use and publish with programming language. The download includes the programming environment and compiler as well. Processing is based on JAVA and can use many different JAVA libraries. It has also now has the ability to compile apps for Android as well as run as Java Script. It is these to latter functions that I focus on for this site." Note that there are numerous references to the "Getting Started with Processing" textbook, available for a nominal charge at Amazon.
Peter Beens

Basics of Computer Science, Animated * Department of Computer Science, The University o... - 0 views

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    One of the difficulties students have in introductory computer science courses is understanding the dynamic complexities of several computer science basics. One reason that students have difficulty grasping these fundamental concepts is that these basics are processes, which textbooks and lectures cannot always adequately demonstrate. In this series of modules...
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