In theoretical computer science, a **computational problem** is a mathematical object representing a collection of questions that computers might want to solve. For example, the problem of **factoring**

- "Given a positive integer
*n*, find a nontrivial prime factor of*n*."

is a computational problem. Computational problems are one of the main objects of study in theoretical computer science. The field of algorithms studies methods of solving computational problems efficiently. The complementary field of computational complexity attempts to explain why certain computational problems are intractable for computers.

A computational problem can be viewed as an infinite collection of *instances* together with a *solution* for every instance. For example in the factoring problem, the instances are the integers *n*, and solutions are prime numbers *p* that describe nontrivial prime factors of *n*.

It is conventional to represent both instances and solutions by binary strings, namely elements of {0, 1}*. For example, numbers can be represented as binary strings using the binary encoding. (For readability, we identify numbers with their binary encodings in the examples below.)

Read more about Computational Problem: Types of Computational Problems, Promise Problems

### Famous quotes containing the word problem:

“The *problem* of induction is not a *problem* of demonstration but a *problem* of defining the difference between valid and invalid

predictions.”

—Nelson Goodman (1906)