Embedded Files
Complexity Analysis Part 1
Complexity Analysis Part 1
Activity Description
Activity Description
Content
Content
Related Videos
Related Videos
Useful Files
Useful Files
Educator's Corner
Educator's Corner
ACM CCECC CSTransfer2017 | ACM/IEEE/AAAI CS2023
ACM CCECC CSTransfer2017 | ACM/IEEE/AAAI CS2023
ACM/IEEE/AAAI CS2023
ACM/IEEE/AAAI CS2023
Concept of algorithm and notion of algorithm efficiency
Assessing the time/space efficiency of a algorithms through measurement [Shared with AL]
ACM CCECC CSTransfer2017
ACM CCECC CSTransfer2017
Best, Average, and Worst case algorithmic behavior
Complexity Classes: Constant, logarithmic, linear, quadratic, cubic, and exponential, P, NP, and NPC
Analysis of iterative and recursive algorithms
Explain the use of Big-O, Omega, and Theta notation to describe the amount of work done by an algorithm
Explain what is meant by “best”, “expected”, and “worst” case behavior of an algorithm
Page updated
Google Sites
Report abuse