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An algorithm is a set of instructions that performs a particular task making sure that those instructions are followed. Analysis of algorithm question bank is needed when any of the following occurs: when a working program is not good enough, when program may be inefficient or when a running time of a program becomes an issue.
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What is the criteria of algorithm analysis?
The term "analysis of algorithms" was coined by Donald Knuth. Algorithm analysis is an important part of a broader computational complexity theory, which provides theoretical estimates for the resources needed by any algorithm which solves a given computational problem.
Why you study algorithm?
There are so many reasons for a programmer to study algorithm. This will help in proper analysis of problems and coming up with fast solutions that relate to programming.
What is prori analysis and posteriori testing of algorithms?
A priori analysis of an algorithm refers to its time and space complexity analysis using mathematical (algebraic) methods or using a theoritical model such as a finite state machine. (In short, analysis prior to running on real machine.) A posteriori analysis of an algorithm refers to the statistical analysis of its space and time complexity after it is actualy run on a practical machine. (in short, anaysis of its statistics after running it on a real machine)
What is the big-O worst-case complexity of this algorithm?
Can't say without some detail about the algorithm in question.
Need for algorithm?
Analysis of an algorithm means prediction of how fast the algorithm works based on the problem size. It is necesary to analyze an algorithm so that, if we have n no Of algorithms then the fastest and 1 with less time & space complexity can selected. Which will allow and ensure maximum utilization of available resourses.
