Give a justification, of the runving times Shown in table tal Aor the metho ds oo an avray, lisT implemented with a CADnexpanlivg) avray.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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Chapter1: Introduction
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Give a justification af the runving times
Shown in tble f.1 For the methods
an avray lisT impemented with a
fnonexpanting) array.
Transcribed Image Text:Give a justification af the runving times Shown in tble f.1 For the methods an avray lisT impemented with a fnonexpanting) array.
as an
argument to these operations, their average running time is O(n), for we will have
to shift n/2 elements on average.
Method | Running Time
size() 0(1)
isEmpty() 0(1)
get(i) 0(1)
set(i, e) 0(1)
add(i, e) 0(n)
remove(i) 0(n)
Table 7.1: Performance of an array list with n elements realized by a fixed-capacity
array.
Looking more closely at add(i, e) and remove(i), we note that they each run in
time 0(n-i+1), for only those elements at index i and higher have to be shifted
uD or down. Thus. inserting or removing an item at the end of an arrav list. us-
Transcribed Image Text:as an argument to these operations, their average running time is O(n), for we will have to shift n/2 elements on average. Method | Running Time size() 0(1) isEmpty() 0(1) get(i) 0(1) set(i, e) 0(1) add(i, e) 0(n) remove(i) 0(n) Table 7.1: Performance of an array list with n elements realized by a fixed-capacity array. Looking more closely at add(i, e) and remove(i), we note that they each run in time 0(n-i+1), for only those elements at index i and higher have to be shifted uD or down. Thus. inserting or removing an item at the end of an arrav list. us-
Expert Solution
Step 1

The time complexity for the methods: 

In computer programming, the time-complexity is the computational cost that defines how long it takes a computer to perform an algorithm. The number of elementary operations done by the method is often used to evaluate time complexity, assuming that each basic process takes a set period of time to complete.

In computer programming, the time complexity is evaluated using the three below-mentioned methods. 

  1. Constant time method: Constant time function will not require more time or perhaps more iterations to achieve a result when given various inputs.
  2. Linear time method: Linear time function requires more time if the input is greater, therefore the greater the input, the longer it will take.
  3. Quadratic time method: Quadratic Time method's output is proportionate to the square of inputs.
  • size() method: 
    • As the size() method executes only once for each element over the complete array. Hence, its running time is (1).
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