If an algorithm's resource consumption, often referred to as computational cost, is at or below a certain threshold, it is said to be efficient. Generally speaking, "acceptable" indicates that it will operate on a machine that is available in a fair amount of time or space, usually based on the size of the input.
<h3>Explain about the efficiency of an algorithm?</h3>
Growth requires an understanding of an algorithm's effectiveness. Programmers write code with the future in mind, and efficiency is essential to achieve this. Reducing the number of iterations required to finish your task in relation to the size of the dataset is the goal of efficient algorithm development.
The use of asymptotic analysis can frequently help to solve these issues. As the size of the input increases, asymptotic analysis quantifies an algorithm's effectiveness or the program that implements it.
To express how time-consuming a function is, we use a method called "Big O notation." We use the Big O notation, a language, to describe how time-consuming an algorithm is. It's how we assess the value of several approaches to an issue, and U supports our decision-making.
To learn more about efficiency of an algorithm refer to:
brainly.com/question/13801939
#SPJ4
Pattern recognition is used for similarities between concepts or problems in an algorithm.
What is meant by pattern recognition?
Pattern recognition is a data analysis method that uses machine learning algorithms to automatically recognize patterns and regularities in data. This data can be anything from text and images to sounds or other definable qualities. Pattern recognition systems can recognize familiar patterns quickly and accurately.
An example of pattern recognition is classification, which attempts to assign each input value to one of a given set of classes (for example, determine whether a given email is "spam" or "non-spam").
Therefore, Pattern recognition is used.
To know more about Pattern recognition from the given link
brainly.com/question/28427592
#SPJ1
I looked up the answer; I believe the answer is true.
Answer:
[24, 35, 9, 56 Approach #3: Swap the first and last element is using tuple variable.
