Evaluate two sorting or two search algorithms : Selection sort demonstration and complexity analysis

Evaluate two sorting or two search algorithms : Selection sort demonstration and complexity analysis

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial explains the selection sort algorithm, which sorts a list by repeatedly finding the smallest element and moving it to the beginning. The process involves using a spot marker to track sorted sections and iterating through the list to perform swaps. The video also covers the complexity of the algorithm, which is O(n^2), and encourages viewers to implement the algorithm in Python.

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7 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the main idea behind the selection sort algorithm?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

How does selection sort differ from bubble sort in terms of sorting direction?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the process of the first iteration in the selection sort algorithm.

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What happens to the spot marker after each iteration in selection sort?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

How can you visualize the sorted and unsorted parts of the list during the selection sort process?

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain why the complexity of selection sort is considered O(N^2).

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of dropping lower order terms when analyzing algorithm complexity?

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