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Can any problem be solved using recursion?

Can any problem be solved using recursion?

Explanation: Problems without base case leads to infinite recursion call. Problems like finding Factorial of a number, Nth Fibonacci number and Length of a string can be solved using recursion.

Do iterative methods always have recursive solutions as well?

Can all iterative algorithms be modelled recursively and vice-versa? – Quora. It’s true that all iterative algorithms can be described recursively. In fact, functional programmers define iteration as the special case of recursion where all recursive calls are tail-recursive.

Can all problem be solved?

No it doesn’t. Because the question contains ‘every’ (∀ quantifier), you only have to show one problem that doesn’t have a solution to answer a definite ‘no’. There are tons of mathematical problems without solutions, so that’s proof enough to say ‘no, every problem does not have a solution’.

Can we use recursion for all the problems justify?

Yes, any problem that can be solved recursively can also be solved through the use of iteration. In case you don’t know, iteration is the use of a looping construct like a while loop, for loop, etc in order to solve a problem, whereas recursion is the use of a function that calls itself to solve a problem.

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Why recursion is used over the iterative approach?

Recursion is generally used because of the fact that it is simpler to implement, and it is usually more ‘elegant’ than iterative solutions. Remember that anything that’s done in recursion can also be done iteratively, but with recursion there is generally a performance drawback.

Why recursion is not always good?

The Bad. In imperative programming languages, recursive functions should be avoided in most cases (please, no hate mail about how this isn’t true 100\% of the time). Recursive functions are less efficient than their iterative counterparts. Additionally, they are subject to the perils of stack overflows.

What is the solution to all problems?

Panacea: an answer or solution for all problems or difficulties. There is also the connotation that there is no such thing as a panacea, because such an all-encompassing solution would be impossible.

Can some problems not be solved by an algorithm?

Not every well-defined problem can be solved by an algorithm and thus by a program. Problems that have no algorithm are called unsolvable. For both problems there exists a mathematical proof showing that no algorithm can exist. …

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When recursion is used to solve a problem why must the recursive module call itself to solve a smaller version of the original problem?

When recursion is used to solve a problem, why must the recursive function call itself to solve a smaller version of the original problem? By reducing the problem with each recursive call, the base case will eventually be reached and the recursion will stop.

Why recursion is required?

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.

What is the best potential advantage of using recursion to solve a problem?

Recursion adds clarity and (sometimes) reduces the time needed to write and debug code (but doesn’t necessarily reduce space requirements or speed of execution). Reduces time complexity. Performs better in solving problems based on tree structures.

Is recursion discouraged?

It is not generally discouraged. It’s not “bad to call function recursively”. It IS bad to call “main()” from a function! It’s also bad to use recursion (which involves some overhead) if a simple loop would work better.

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What is recursion in Computer Science?

Note: An algorithm is a well-defined, computer-implementable instructions, typically to solve a problem or to perform a computation. Recursive problem solving is where a function calls itself again to repeat the code with a goal to reduce the problem to be simple enough. To define recursion, we use an if expression to test the input.

Is iteration a type of recursion?

In fact, functional programmers define iteration as the special case of recursion where all recursive calls are tail-recursive. The translation is purely mechanical: just convert all the variable state into function arguments. For example, Can we reverse this transformation to convert a recursive algorithm into an iter

Is it possible to convert a recursive function to an iterative function?

In lay terms, it states that what is computable by recursive functions is computable by an iterative model (such as the Turing machine) and vice versa. The thesis does not tell you precisely how to do the conversion, but it does say that it’s definitely possible. In many cases, converting a recursive function is easy.

Is the factorial function recursive?

First, the factorial function is indeed recursive, and not tail recursive, fully recursive. Second, this code allows for seeing the link (and thus the “equivalence”) between iterative and recursive code: the stack.