What is Algorithm ? – Where are Algorithms Used?

Computer Science: Algorithm. Algorithm Definition. What is Algorithm in Simple Terms?

It’s possible that you just encountered the phrase “algorithm” either online or during a tech-related conversation. Although the word is frequently used, just what does it mean?

Algorithm can be explained simply as the path to be followed in solving a problem. An algorithm is a methodical process that is designed to solve a particular problem or accomplish a particular objective.

There is no programming language in the algorithm. It is a collection of guidelines for programming languages.

Any language can be used to write and execute algorithms.

What are Algorithms Used For?

Fundamentally, algorithms are the foundation of contemporary technology, operating in the background to provide customized solutions and streamline several industry processes, thereby simplifying, safeguarding, and improving our quality of life. They have almost infinite applications.

Problem – Algorithm – Inputs – Process – Outputs

Problem: A real-world issue or real-world instance problem for which a program or set of instructions needs to be developed is referred to as a problem.

Algorithm: A set of instructions is called an algorithm.  An algorithm is a methodical procedure created to address a certain issue.

Input: The required and preferred inputs are supplied to an algorithm once it has been designed.

Processing Unit: After receiving the input, the processing unit will produce the required result.

Output: The term “output” refers to the program’s consequence or result.

What Makes a Qualified Algorithm?

Efficiency: A good algorithm should use the least amount of resources while completing its goal swiftly.

Correctness: For every legitimate input, it must generate an exact and correct result.

Clarity: The algorithm should be simple to read and comprehend, which will allow for easy maintenance and modification.

Scalability: It should be able to manage bigger issue sizes and data volumes without experiencing a discernible performance hit.

Reliability: In a variety of settings and circumstances, the algorithm should reliably produce accurate results.

Optimality: The pursuit of the best possible solution given the restrictions of the situation.

Robustness: Able to withstand faults or unforeseen inputs without collapsing.

Adaptability: Ideally, it requires little modification to be applied to a variety of related issues.

Simplicity: Avoiding needless complexity and trying to keep the algorithm as basic as possible while still satisfying its requirements.

Which Everyday Objects Contain Algorithms?

Logically, food recipes are the best everyday examples of algorithms. But in technological terms; algorithms for social media content curation, online purchase advice, and GPS navigation are a few examples.

An Example Algorithm For Sum of Two Numbers

You may also be interested in our series of articles on C programming.

How Do You Explain Algorithms to Kids?

Recipes are similar to algorithms.

Though they are used in computer science and programming, algorithms are not employed in cooking—rather, they function similarly to recipes!

There is a precise method and series of actions involved in creating a peanut butter and jelly sandwich:

• Place a pair of bread slices onto a dish.
• Spread one slice of bread with peanut butter using a knife.
• Spread the jelly onto the other slice of bread using a knife.
• Put together the bread pieces to make a sandwich.
• Have a bite!

Another Example For Kids

Brushing Your Teeth:

• Wet your toothbrush.
• Put toothpaste on the toothbrush.
• Brush your teeth for two minutes.
• Spit out the toothpaste.
• Rinse your mouth and toothbrush with water.

These are just a few young children’s basic examples of algorithms. There are algorithms everywhere, and they are highly useful in helping us finish things quickly and correctly. Children can learn to divide difficult issues into smaller, more manageable chunks by comprehending how algorithms operate. They may become more adept at solving problems and using critical thought as a result.

The Value and Advantages of Algorithm Learning

In disciplines like math and science, the capacity to outline precise methods for solving an issue is known as algorithmic thinking. Particularly in math, children frequently employ algorithms without even recognizing it.
Children that use algorithmic thinking are able to deconstruct issues and think of solutions as discrete phases in a process.