An algorithm is a complete set of steps for doing a particular work, solving a problem, or completing a task. Our lives are practical examples of algorithms. We have to follow many instructions in our lives. The complete line-up of these instructions is also called an algorithm.
Every field of life is associated with algorithm. We need algorithms to succeed, whether we are doctors, engineers, teachers, business owners, or students. Computers and machines also follow algorithms to get help in analysing information, making decisions, and completing tasks. When we are in trouble and don’t know what to do, our mind also creates an algorithm.
We should not confuse it with consistency. These are two different terms. Consistency means doing something regularly to succeed, while algorithm is the set of steps that are used to solve a problem or complete task.
Key Takeaways
- An algorithm is a clear set of steps used to solve a problem or complete a task.
- Algorithms usually take input, process it, and produce an output.
- Search algorithms help find specific information from a collection of data.
- Greedy algorithms make the best available choice at each step to solve a problem.
- Sorting algorithms arrange data in a specific order.
- Algorithms are widely used in AI, operations research, and online shopping.
- Everyday activities such as making tea, adding numbers, and finding routes can follow algorithms.
- A good algorithm should be clear, correct, simple, efficient, and secure.
- Creating an algorithm involves identifying a problem, writing clear steps, adding conditions, and testing the result.
- Not every algorithm gives a correct result. Its steps must be properly designed for the problem and input.
How Does an Algorithm Work?
Input
First step of algorithm is to input the data or information that is required to make plans. For example, when you are making coffee, you first need information about which ingredients are present, how much coffee you want to make and how much sugar you want in your coffee.
Transformation
Next to input is transformation. Algorithm runs a command on input and makes a decision based on conditions and options which areavailable. If it looks inappropriate or wrong decision, it may search for other options.
Output
Last step of algorithm is output. Algorithm finally makes a decision and gives us the result based on the conditions and options available. Result may be the answer, decision, action or something else.
Types of Algorithms
Search Algorithms
Search algorithms involve choosing specific thing or data from a large group of things or data. It involve selection of only perfect options and removing the inappropriate options.
Greedy Algorithms
Greedy algorithms involve the arrangement of data. It puts data in a specific order by arranging it. It arranges them from the most appropriate to least appropriate.
Sorting Algorithm
Sorting algorithm involves choosing the best option from the available options. It involves sorting the options from cheaper to expensive.
Uses of Algorithm
Artificial Intelligence
- Algorithm helps ai in taking actions and doing tasks efficiently.
- It helps AI in doing tasks without human help.
- It also helps AI in better recommendations and image recognition.
Operations Research
- Algorithms help organizations in planning schedules.
- It helps businesses to make beneficial decisions.
- It helps to improve planning for transportation and logistics.
Online Shopping
- Algorithms rank the best products in search results.
- It also helps in preventing fraud.
- It improves overall shopping experience.
Examples of Algorithm
There are many daily life examples of algorithms, some of which are as follows:
Algorithm in Making Tea
The Algorithm in making tea is as follow:
- First boil the water.
- Add tea bag in it.
- Add the required amount of milk and sugar.
- Cook the tea for a few minutes.
- Filter the tea
- Serve it.
Algorithm in Adding Two Numbers
The steps in adding two numbers are as follows:
- Write one number and then write other below it.
- Start addition from right side.
- Move any extra number to the next column.
- Continue until all columns are completed.
- Write the final answer.
Algorithm in Finding the Fastest Route
The algorithm in finding the fastest route is as follows:
- Enter your starting point and destination.
- The system checks roads and ways.
- It considers distance, traffic, and road conditions.
- It selects an easy and fast route.
- If conditions change, it suggests another route.
Characteristics of a Good Algorithm
The characteristics of good algorithm are as follows:
- It should be clear, correct and not include any fluff.
- It should be simple and give the inputs and outputs in easy language.
- It should be secure. Security is the main problem in this era.
- It should not give totally different answer for any output.
- It should not be language-specific.
Conclusion
An algorithm is a set of steps which is used to solve problems and complete tasks. Algorithms are used in a large number of fields such as AI, operations research, and online shopping. They are also helpful in simple daily activities such as making tea, adding numbers, and finding safe and fast routes. A good algorithm should be clear, correct, simple, safe and give correct results. Algorithms help people and computers solve problems in organized and effective way by following specific steps.
FAQs
What are the uses of algorithms in machine learning?
Algorithm has important role in machine learning. All machines use algorithms to make plans and decisions so that they can do their work perfectly.
Why do we need algorithms in our daily life?
We need algorithm in performing every task in our daily life. From simple work to large complex experiments, role of algorithm cannot be denied. Algorithm has also an important role in computer science, online shopping, and finding safe way to travel.
How can you create your own algorithm?
You can make your own algorithm by first finding the problem, then deciding the required information, breaking the task into clear steps, and adding conditions where required. After writing the steps, test the algorithm and check the result. If it does not work, change the steps and test it again.
Do all algorithms give correct result?
No, not all algorithms give correct results. An algorithm gives a correct result only when its steps are properly designed and suitable for the problem. A poorly designed algorithm may give a wrong result.
