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## Explain Recursive And Non Recursive Algorithm For Binary Search

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## Explain Recursive And Non Recursive Algorithm For Binary Search

Algorithm is an important part of every computer application. It’s what helps us do our jobs efficiently and effectively. And while most of us are familiar with the simple algorithms like addition and multiplication, there are a number of more complex ones out there, too. One such algorithm is the binary search algorithm, which is used to find a specific item in a sorted list. In this blog post, we will explore the basics of recursive and non recursive binary search algorithm and how they work.

## What is Recursive Algorithm?

Recursive algorithm is a set of instructions that allow you to solve a problem using a loop. The algorithm starts by making a list of the objects in the problem and then doing an initial search for the object on the list. If the object is found, then the algorithm continues with step two. However, if the object is not found on the list, then the algorithm goes back to step one and starts looking for another object on the list. This process continues until either all of the objects on the list have been looked for or an error has occurred.

Non recursive algorithm is a type of algorithm that does not use a loop. Instead, it uses a specific approach to solving problems. This approach involves breaking down the problem into smaller pieces and solving each piece separately. After all of the pieces have been solved, they can be put back together to solve the final problem.

## What is Non Recursive Algorithm?

Recursive algorithms are ones that are designed to go through a list of items and find the item that is located at the tail end of the list. This is done by going through each element in turn, and checking to see if it is greater than or equal to the item that has been placed at the head of the list. If it is, then the algorithm continues on down the list, else it returns to the element that was placed at the head of the list and starts over again.

Non recursive algorithms are ones that do not go through a list of items in order. Instead, they look for a specific item or set of items within a given range. For example, if you were looking for a specific object within a group of objects, non recursive algorithms would be better suited for finding that object.

Both types of algorithm have their own advantages and disadvantages. Recursive algorithms tend to be faster because they can go through a list more quickly than non recursive algorithms. However, they can also become overwhelmed if there are a lot of items in the list and they have to go through them all one by one. Non recursive algorithms usually take longer to execute but they can often find an object more quickly since they don’t have to go through all of the items in order.

## How to Implement Recursive Algorithm in C?

A recursive algorithm is an algorithm that calls itself. A non-recursive algorithm does not call itself. The difference between the two can be quite important when it comes to performance. Recursive algorithms are more efficient because they can run faster because they are doing the same thing over and over again.

To implement a recursive algorithm in C, you first need to establish a base case and an iterative case. The base case is when we know the value we are looking for is already within our data set. In the iterative case, we are looking for a value that is not currently within our data set. We will do this by creating an array of indices that will represent where in our data set the value we are looking for may be found. Once we have established these two cases, we can begin to code our recursive algorithm.

The first step in coding our recursive algorithm is to establish a function that will take in as input the current index of our data set and the desired value. This function will then return the corresponding value from our data set. After establishing this function, we need to create another function that will take in as input the current index of our data set and the desired value from our previous function call. This second function will then update the index of our data set based on what was returned from our previous function call.

Now that we have established these two functions, it is time to start coding our recursive algorithm. The first step in coding our recursive algorithm is to establish a loop that will cycle through our data set and call our functions respective to the current index and the desired value. After cycling through our data set, the recursive algorithm will then return the corresponding value from our data set.

## How to Implement Non Recursive Algorithm in C?

Algorithm for binary search is a non recursive algorithm that finds the minimum value in a list. The algorithm works as follows:

– Divide the list into two half lists, A and B.

– Compare element of left half list with element of right half list. If they are equal, then return the value of that element in the right half list and stop. Otherwise, if element of left half list is greater than element of right half list, then assign the value of element of left half list to result variable and repeat step 2 while result variable remains less than or equal to the value of eleventh element in right halflist.

– If step 3 fails, then return -1 which indicates that minimum value is not present in the list.

## Difference between Recursive and Non-recursive Algorithms?

Recursive algorithms are designed to solve problems in a series of steps. In each step, the algorithm re-evaluates the current problem and looks for a solution that can be applied to the next problem. Non-recursive algorithms don’t follow this pattern; they simply evaluate the current problem and move on.

Recursive algorithms are more efficient because they can quickly find solutions to problems that would take non-recursive algorithms longer to find. Recursive algorithms can also run faster because they don’t have to check every possible solution.

## Conclusion

A recursive algorithm is an algorithm that calls itself. This is useful for finding a specific item in a sorted list, or for solving a problem that can be solved in multiple steps. A non-recursive algorithm doesn’t call itself; it performs the same task no matter how many times it’s called.

## Explain Recursive And Non Recursive Algorithm For Binary Search

Algorithms are at the heart of everything we do. From emailing our friends to scheduling our appointments, algorithms are at the center of our lives. Recursive and non recursive algorithms are two of the most common types. In this article, we will explain these algorithms and their strengths and weaknesses. We will also give you an example of how they can be used in practice.

## What is Recursive Algorithm?

A recursive algorithm is an algorithm that executes itself. A non-recursive algorithm does not execute itself. Recursive algorithms are faster than non-recursive algorithms when the search involves a small number of items.

## What is Non-Recursive Algorithm?

Recursive algorithms are those that follow a certain pattern: start with the object at the bottom of the list and work its way up. For example, to find the third item in a list of items, you would start with the first item and look for the third item in that list. If you can’t find it there, then you would go back to the beginning of the list and start again.

Non-recursive algorithms are those that don’t follow this pattern. Instead, they work their way through the list from right to left. So if you wanted to find the third item in a list of items, you would start with the last item and work your way backwards.

## Difference Between Recursive And Non-Recursive Algorithms?

Recursive algorithms are those that are based on a loop, or recursion. This means that the algorithm will keep calling itself until it reaches a terminating condition. The classic example of a recursive algorithm is the binary search algorithm. This algorithm works by first finding the largest value in the sorted list, and then trying to find the smaller value adjacent to this largest value. If we compare this algorithm to a non-recursive one, we can see that the non-recursive version will not progress until it has found the smallest value in the list.

One big reason why recursive algorithms are more efficient than their non-recursive counterparts is because they can take advantage of memory optimization techniques. For instance, if we were using a non-recursive algorithm to search for the smallest value in an unsorted list, we would have to scan through every element in order to find our target. However, with a recursive algorithm, we can simply call ourselves multiple times with different values as our initial guess for the smallest value. This process will eventually lead us to our target number without having to access any of the original data!

## Example of Recursive Algorithm

A recursive algorithm is an algorithm which calls itself. A non recursive algorithm does not call itself. Recursive algorithms are more efficient because they can take advantage of the fact that the problem has been solved before. Non recursive algorithms are easier to write, but may be less efficient than recursive algorithms.

## Example of Non-Recursive Algorithm

The binary search algorithm is a non-recursive algorithm for finding an item in a sorted list. It works by first dividing the list into two halves and searching each half forwards until we find the desired item. If we haven’t found the item yet, then we start again at the beginning of the list and search each half backwards.

## Execution Time of Recursive and Non-Recursive Algorithms

There are two main types of algorithms: recursive and non-recursive. A recursive algorithm is one in which the code calls itself. A non-recursive algorithm is one in which the code does not call itself. The execution time of a recursive algorithm is always shorter than that of a non-recursive algorithm, but this difference is usually not significant. Recursive algorithms are more efficient if the data set is small and if the search can be performed quickly inside the loop. Non-recursive algorithms are more efficient if the data set is large and if the search can be performed slowly outside of the loop.