5 Questions
Match the following criteria of analysis with their descriptions:
Execution time/Running time = The time it takes for an algorithm to run on a specific machine Memory to use = The amount of memory an algorithm requires to execute Dimension of the input = The size or number of elements in the input to the algorithm Number of instructions that are executed = An approximation of the execution time for a given algorithm
Match the following terms with their definitions:
T(n) = The execution time of an algorithm for a given input size Input dimension = The size or number of items to be processed by an algorithm Algorithm complexity = A measure of the efficiency of an algorithm Non-deterministic algorithm = An algorithm that can exhibit different behaviors for the same input
Match the following classes of problems with their descriptions:
Deterministic problems = Problems for which an algorithm can always produce the correct output for any given input Non-deterministic problems = Problems for which an algorithm may or may not produce the correct output for a given input Efficiency problems = Problems that require an algorithm to be executed within a certain time or memory constraint Complexity problems = Problems that involve the analysis of the running time and space requirements of an algorithm
Match the following terms with their meanings:
Efficiency = The ability of an algorithm to use resources effectively Running time = The time it takes for an algorithm to complete its execution Memory usage = The amount of memory an algorithm requires to run Execution time = The time it takes for an algorithm to execute on a specific machine
Match the following equations with their corresponding meanings:
$T(n) = Number of instructions that are executed$ = The execution time of an algorithm for a given input size $T = T(n)$ = The execution time of an algorithm for a given input size $n= input dimension$ = The size or number of items to be processed by an algorithm
Test your knowledge on the analysis of algorithms with this quiz. Explore criteria for analysis, complexity determination, classification of algorithms, and more. See if you can master the concepts needed to analyze and optimize algorithms effectively.
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