'Possible inputs' diaporamas de présentation

Example

Example. Find a DTM that computes the language L = { a n b n : n ? 0}. High level program: Repeat Erase an a. Pass along the rest of as. Erase a b Pass along the rest of bs . Go to the beginning of the input.

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A Combinatorial Characterization of the Distributed 1-Solvable Tasks

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College Algebra Fifth Edition James Stewart ? Lothar Redlin ? Saleem Watson

College Algebra Fifth Edition James Stewart ? Lothar Redlin ? Saleem Watson. Functions. 3. What Is a Function?. 3.1. What is a Function?. Perhaps the most useful mathematical idea for modeling the real world is the concept of function, which we study in this chapter.

916 views • 70 slides

Data Structures Lecture 8

Fall 2010. Data Structures Lecture 8. Fang Yu Department of Management Information Systems National Chengchi University. Analysis of Algorithms. Input. Algorithm. Output. How good is your program?. Running Time. Most algorithms transform input objects into output objects.

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CSE332: Data Abstractions Lecture 26: Amortized Analysis

CSE332: Data Abstractions Lecture 26: Amortized Analysis. Tyler Robison Summer 2010. Amortized Analysis . Recall our plain-old stack implemented as an array that doubles its size if it runs out of room How can we claim push is O ( 1 )?

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Analysis of Algorithms I

Analysis of Algorithms I. Aaron Bernstein. Sorting Algorithms. Insertion Sort: ? (n 2 ) Merge Sort: ? ( nlog (n)) Heap Sort: ? ( nlog (n)) We seem to be stuck at ? ( nlog (n)) Hypothesis: Every sorting algorithm requires ? ( nlog (n)) time. Lower Bound Definitions.

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Design and Analysis of Algorithms Non-comparison sort (sorting in linear time)

Design and Analysis of Algorithms Non-comparison sort (sorting in linear time). Haidong Xue Summer 2012, at GSU. Comparison based sorting. Algorithms that determine sorted order based only on comparisons between the input elements. What is the lower bound?.

299 views • 10 slides

Self-Organizing Linked List

Self-Organizing Linked List. Motivation. Searching for an element in a linked list takes O(N) worst case time If we are lucky, and the element is at the beginning, then search is fast Our goal is to try to keep elements that are likely to be searched in the near future close to the head

214 views • 8 slides

Router behavioral complexity (network complexity from a testing perspective)

Router behavioral complexity (network complexity from a testing perspective). Marco Canini EPFL, Switzerland. Network complexity. Behavior Extensive range of possible behaviors Flexibility of routing software implementations Support for programmability to enhance functionalities

175 views • 7 slides