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In Computational Complexity Theory , a computational resource is a resource used by some Computational Models in the solution of Computational Problem s.

The simplest computational resources are Computation Time , the number of steps necessary to solve a problem, and memory space, the amount of storage needed while solving the problem, but many more complicated resources have been defined.

  • ''y''". As the inputs get bigger, the amount of computational resources needed to solve a problem will increase. Thus, the resources needed to solve a problem are described in terms of Asymptotic Analysis , by identifying the resources as a function of the length or size of the input.


Computational resources are useful because we can study which problems can be computed in a certain amount of each computational resource. In this way, we can determine whether Algorithm s for solving the problem are optimal. The set of all of the computational problems that can be solved using a certain amount of a certain computational resource is a Complexity Class , and relationships between different complexity classes are one of the most important topics in complexity theory.