'1 constant time' diaporamas de présentation

CS50 SECTION: WEEK 3

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CSE 143

CSE 143. Program Efficiency [Sections 12.1-12.3, 12.5, 12.9]. Measures of Efficiency. Everybody wants efficient programs Efficient in time (fast) Efficient in space (compact data) Efficient in user time (user-friendly) Efficient in programming time (modular) How can we measure efficiency?

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Algorithm Analysis (Big O)

www.hndit.com. Algorithm Analysis (Big O). Lecture 9. www.hndit.com. Complexity. In examining algorithm efficiency we must understand the idea of complexity Space complexity Time Complexity. www.hndit.com. Space Complexity.

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GC 211:Data Structures Week 2: Algorithm Analysis Tools

GC 211:Data Structures Week 2: Algorithm Analysis Tools. Slides are borrowed from Mr. Mohammad Alqahtani. Algorithm Analysis: Motivation. A problem can be solved in many different ways Single problem, many algorithms Which of the several algorithms should I choose?

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Greedy Algorithms

Greedy Algorithms. A short list of categories. Algorithm types we will consider include: Simple recursive algorithms Backtracking algorithms Divide and conquer algorithms Dynamic programming algorithms Greedy algorithms Branch and bound algorithms Brute force algorithms

488 views • 19 slides