Questions Q/01. What is the \"Big O\"? (make it short and sweet and oh so comple
ID: 3754663 • Letter: Q
Question
Questions Q/01. What is the "Big O"? (make it short and sweet and oh so complete) Q/02. What is the great thing about Project based learning? Q/03. Why do we care about algorithmic efficiency, on new machines we have unlimited space and speeds are 'light speed' relative to the way it was in 1963, so what is the big deal? Q/ 04. How is input related to algorithmic efficiency? Q/ 05. What does a graph tell you really, as a tool? Q/ 06. What does'n' stand for int the Analyzing Algorithms? Q/ 07. What is the difference between Quadratic run-time and Liner run-time? Q/ 08. I think of rating an algorithm as scoring' now that is an old term but, if you don't have the luxury to run an algorithm, you need to have something, explain to me what I mean by scoring'. Q/ 09. Why does the speed of the computer have absolutely nothing to do with the algorithmic efficiency? Q/ 10. What types of time complexity are there in Computer Science? Q/ 11. How is Big O notation like Pi? ToExplanation / Answer
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Q1) What is the Big O?
Answer)
In Computer Science and Engineering and Computer Algorithms, Big O is a notation used for calculating the efficiency and complexity of the algorithm. Big O is a particular notation thus to analyze how efficient and complex the programs are running and how much resources do the program or algorithms need according to the input given and the output provided. The size of the program, the running time of the program and the space required for the program or algorithm to run are determined. Thus it is a process to determine all of these.
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