Understanding Big O Notation and Functions

Understanding Big O Notation and Functions

Assessment

Interactive Video

Computers

11th Grade - University

Hard

Created by

Thomas White

FREE Resource

The video tutorial introduces the concept of algorithm efficiency and complexity, focusing on Big O notation. It explains how Big O is used to classify algorithms based on operations or comparisons. The tutorial provides a formal definition of Big O, illustrating it with examples, and offers an alternative method for determining Big O notation. The key takeaway is understanding how to evaluate the efficiency of algorithms using Big O notation.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary focus of the course regarding algorithm efficiency?

Big O notation

Time complexity

Algorithm design

Space complexity

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is Big O notation important in computer science?

It helps in designing algorithms

It determines the memory usage of programs

It classifies algorithms based on operations

It measures the speed of computers

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens to functions like x^2 and 3x^2 + 25 as X becomes very large?

They become different

They remain constant

They act similarly

They decrease

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In Big O notation, what do the constants C and K represent?

C is the speed, K is the memory

C is the time, K is the space

C is a constant multiplier, K is a threshold

C is the input size, K is the output size

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of finding constants C and K in Big O notation?

To determine the exact runtime

To compare different algorithms

To show that one function dominates another

To calculate memory usage

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you demonstrate that 3x^2 + 25 is on the order of x^2?

By calculating exact values

By finding constants C and K

By using a graphing calculator

By comparing memory usage

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the alternative method for determining Big O?

Bumping polynomial terms to the highest degree

Calculating exact runtime

Using a graph

Comparing space complexity

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