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In simple words, an algorithm is a group of commands designed to perform a particular task. There are many ways to accomplish any task, especially in the programming language. So programmers design the most efficient algorithms that increase the speed to run programs.

Example of the addition of two numbers in C

#include

int main()

{

int x, y, z;

printf("Enter two numbers to add\n");

scanf("%d%d", &x, &y);

z = x + y;

printf("Sum of the numbers = %d\n", z);

return 0;

}

Output

Enter two number to add

10

20

Sum of the numbers = 30

Example of the addition of two numbers in python

num1 = 10

num2 = 20

# Adding two numbers

sum = num1 + num2

# printing values

print("Sum of {0} and {1} is {2}" .format(num1, num2, sum))

Output

Sum of 10 and 20 is 30

Some of the popular tools/approaches are:-

A method in which we look at all the changes and select the best solution

**Pros:** Simple and always give solutions to every possibility.

**Cons:** As the number of possibilities increases, the number of objects increases as fast as possible.

In this method, we divide the problem into smaller parts and then solve very easy to solve.

The method has the best option at the current time, without any concern for the future.

**Pros:** Can get quick, simple, or best solutions.

**Cons:** Most of the time, we will not receive the best solution.

A method that is created to the solution using the sub-solutions that were previously found. Certainly one of the more advanced techniques, but extremely powerful and applicable.

**Pros:** Polynomials find the optimal solution to many problems in time.

** Cons:** It takes time to understand different states and recurrence.

You need to follow these steps to get the correct results of your programming algorithm:

- Step 1 – Determine the problem to write its algorithm accordingly.
- Step 2 – Developing a model to get the correct output of the program.
- Step 3 – Specifying all the comments of the algorithm that make code more understandable.
- Step 4 – Write an algorithm as per the need of the assignment question.
- Step 5 – Check it multiple times to know the accuracy of the algorithm.
- Step 6 – Analysis algorithm if there are any errors and implementation of new functions, loops, and other syntax methods to make your programming more effective.
- Step 7 – Test the program on the specialized platform.
- Step 8 – Prepare assignments and write each programming step in detail.

There are various ways to write algorithms, but there are some points that one has to keep in mind while writing an algorithm. Some points are:

- Every step in algorithms is important. So, each step should be clear and well organized.
- Use the syntax where necessary.
- Between different methods of giving a directive, the algorithms used should be effective.
- Mention a sub-number list if there are any loops present in the algorithm.
- In programming, including variables and also their use.
- Input and output should be accurately defined.
- The algorithm should be designed in such a way that it can be applied in more than one programming language.
- An algorithm should have a finite number of execution of the commands or instructions.

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There is software used in completing algorithm assignments in the computer science field. Many students do not know how to operate that software. Therefore, they look for the best algorithm solutions.

When you are writing a good algorithm, always keep in mind that it should be written so that it can be applied in required programming languages. Algorithms somehow may be common to all programming languages to obtain the same output.

Every step in the algorithm should be clear and very important. The algorithms in programming should have a clear start and a stopping point. Some students usually make a mistake with their algorithm coding. Our experts provide you with the algorithm solution to get an expected result and score higher in your algorithm assignment or homework.

- Graph Algorithm
- Backtracking Algorithm
- Network Theory
- Huffman Code, Decoding, Tree
- Distributed System Algorithm
- Dynamic Programming
- Optimization Algorithm
- Number Theory Algorithm
- Randomized Algorithm
- Sequence Sorting
- Raymond's Algorithm
- Backtracking Algorithm
- Greedy Algorithm
- Database Algorithm

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