Table of Contents

## Which is the most efficient method recursive or iterative Why?

If time complexity is the point of focus, and number of recursive calls would be large, it is better to use iteration. However, if time complexity is not an issue and shortness of code is, recursion would be the way to go.

## What is faster iterative or recursive?

Memoization makes recursion palatable, but it seems iteration is always faster. Although recursive methods run slower, they sometimes use less lines of code than iteration and for many are easier to understand. Recursive methods are useful for certain specific tasks, as well, such as traversing tree structures.

## Are recursive algorithms more efficient?

Iterative algorithms and methods are generally more efficient than recursive algorithms. Recursion is based on two key problem solving concepts: divide and conquer and self-similarity. A recursive solution solves a problem by solving a smaller instance of the same problem.

## Why recursion is not efficient?

Recursion has a disadvantage that the algorithm that you write using recursion has O(n) space complexity. While iterative aproach have a space complexity of O(1). This is the advantange of using iteration over recursion.

## How do you deal with recursion?

- Step 1) Know what your function should do.
- Step 2) Pick a subproblem and assume your function already works on it.
- Step 3) Take the answer to your subproblem, and use it to solve for the original problem.
- Step 4) You have already solved 99% of the problem.

## Should you ever use recursion?

When should I use recursion? Recursion is made for solving problems that can be broken down into smaller, repetitive problems. It is especially good for working on things that have many possible branches and are too complex for an iterative approach. One good example of this would be searching through a file system.

## Why stack is used for recursion?

Now Stack is a LIFO data structure i.e. ( Last In First Out) and hence it is used to implement recursion. The High level Programming languages, such as Pascal , C etc. that provides support for recursion use stack for book keeping. the return address (the address where the control has to return from the call).

## What are the applications of stack?

Following are some of the important applications of a Stack data structure:

- Stacks can be used for expression evaluation.
- Stacks can be used to check parenthesis matching in an expression.
- Stacks can be used for Conversion from one form of expression to another.
- Stacks can be used for Memory Management.

## What is the application of recursion?

Recursion has many, many applications. In this module, we’ll see how to use recursion to compute the factorial function, to determine whether a word is a palindrome, to compute powers of a number, to draw a type of fractal, and to solve the ancient Towers of Hanoi problem.

## What is the basic rules of recursion?

Like the robots of Asimov, all recursive algorithms must obey three important laws: A recursive algorithm must call itself, recursively. A recursive algorithm must have a base case. A recursive algorithm must change its state and move toward the base case.

## What is the second step to take in order for a recursive approach?

What is the second step to take in order to apply a recursive approach? a. Identify at least one case in which the problem can be solved without recursion.

## How does multiple recursion work?

We are in the presence of multiple recursion when the activation of a method can cause more than one recursive activations of the same method. We implement a recursive method that takes a positive integer n as parameter and returns the n-th Fibonacci number. …

## What are the two types of recursion?

Recursion are mainly of two types depending on whether a function calls itself from within itself or more than one function call one another mutually. The first one is called direct recursion and another one is called indirect recursion.