COMPUTER SCIENCE AND ENGINEERING
ALGORITHMS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Time Complexity
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Space Complexity
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Size Complexity
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Complex Complexity
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Simplicity Complex
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Detailed explanation-1: -The two main measures for the efficiency of an algorithm are time complexity and space complexity, but they cannot be compared directly. So, time and space complexity is considered for algorithmic efficiency. An algorithm must be analyzed to determine the resource usage of the algorithm.
Detailed explanation-2: -Analysis of algorithms and performance evaluation can be divided into two different phases: (a) A Priori estimates: This is a theoretical performance analysis of an algorithm. Efficiency of an algorithm is measured by assuming the external factors. (b) A Posteriori testing: This is called performance measurement.
Detailed explanation-3: -The complexity of an algorithm can be divided into two types. The time complexity and the space complexity.
Detailed explanation-4: -Speed is one of the key parameters in determining the potential of an algorithm. There are some other factors, like user-friendliness, security, maintainability, and usage space, that determine the quality of an algorithm. Space and time complexity are metrics used to measure parameters.