Lecture 1: Algorithmic Thinking, Peak Finding
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YouTubeMIT OpenCourseWare
Lecture 1: Algorithmic Thinking, Peak Finding
MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Srini Devadas License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
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Computational Complexity Theory
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You must c C reate an account to continue watching
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You must c C reate an account to continue watching
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SOLVED:The complexity of a computer algorithm is the number of operations or steps the algorithm needs to complete its task assuming there are n pieces of input (for example, the number of steps needed to put n numbers in ascending order). Four algorithms for doing the same task have complexities of A: n^3 / 2, B: n log2 n, C: n(log2 n)^2, and D: √(n) log2 n . Rank the algorithms in order of increasing efficiency for large values of n Graph the complexities as they vary with n and comment on you
SOLVED:The complexity of a computer algorithm is the number of operations or steps the algorithm needs to complete its task assuming there are n pieces of input (for example, the number of steps needed to put n numbers in ascending order). Four algorithms for doing the same task have complexities of A: n^3 / 2, B: n log2 n, C: n(log2 n)^2, and D: √(n) log2 n . Rank the algorithms in order of increasing efficiency for large values of n Graph the complexities as they vary with n and comment on you
numerade.com
Jun 1, 2020