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Running head: DATA STRUCTURES AND ALGORITHM ANALYSES 1
DATA STRUCTURES AND ALGORITHM ANALYSES
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DATA STRUCTURES AND ALGORITHM ANALYSES 2
Analysis of data structures and algorithms a very crucial step since it determines the
resources required for a given data structure and algorithm to solve a specific computational
problem. On many occasions, most of algorithms and data structures are designed to work with
the arbitrary length of given inputs (Ullman, 1983). On analyzing algorithms and data structures,
a clear picture of the estimated execution time and resources required to run the algorithm are
determined.
Space complexity and time complexity are considered when analyzing algorithms and
data structures. An algorithm time complexity is referred to as the amount of time algorithm
takes to execute a given function with a given defined input length. On another hand, an
algorithm space complexity is referred as the amount of space algorithm takes to execute a given
function with given defined input length.
Algorithm and data structure analysis involve the following steps:
Complete implementation of the algorithm
Determination of each basic operation
Decide the period of time expected from each basic operation.
Recognize unknown variables that may be utilized to explain the execution rate
of the common functions.

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Running head: DATA STRUCTURES AND ALGORITHM ANALYSES DATA STRUCTURES AND ALGORITHM ANALYSES Name Institution Date 1 DATA STRUCTURES AND ALGORITHM ANALYSES 2 Analysis of data structures and algorithms a very crucial step since it determines the resources required for a given data structure and algorithm to solve a specific computational problem. On many occasions, most of algorithms and data structures are designed to work with the arbitrary length of given inputs (Ullman, 1983). On analyzing algorithms and data structures, a clear picture of the estimated execution time and resources required to run the algorithm are determined. Space complexity and time complexity are considered when analyzing algorithms and data structures. An algorithm time complexity is referred to as the amount of time algorithm takes to execute a given function with a given defined input length. On another hand, an algorithm space complexity is referred as the amount of space algorithm takes to execute a given function with given defined input length. Algorithm and data structure analysis involve the following steps: • Complete implementation of the algorithm • Determination of each basic operation • Decide the period of time expected from each basic operation. • Recognize unknown variables that may be utilized to explain the execution rate of the common functions. DATA STRUCTURES AND ALGORITHM ANALYSES 3 • Build a precise description for system feedback • Assume input ...
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