What is decision problem in algorithm?

What is decision problem in algorithm?

In computability theory and computational complexity theory, a decision problem is a problem that can be posed as a yes–no question of the input values. A method for solving a decision problem, given in the form of an algorithm, is called a decision procedure for that problem.

What is meant by computational problem?

In theoretical computer science, a computational problem is a problem that a computer might be able to solve or a question that a computer may be able to answer. For example, the problem of factoring. “Given a positive integer n, find a nontrivial prime factor of n.”

What are the two different types of decision problems in marketing?

discovery-oriented decision problems typically ask “what” or “why” and generate information that can be used by managers to make important decisions. strategy-oriented decision problems are usually directed at “how” planned change should be implemented and focus on making decisions.

What are the two types of complexities explain them?

Complexities of an Algorithm The complexity of an algorithm computes the amount of time and spaces required by an algorithm for an input of size (n). The complexity of an algorithm can be divided into two types. The time complexity and the space complexity.

What is computational complexity theory?

Computational complexity theory is a subfield of theoretical computer science one of whose primary goals is to classify and compare the practical difficulty of solving problems about finite combinatorial objects – e.g. given two natural numbers n and m, are they relatively prime?

How does pexexptime relate to other basic time and space complexity classes?

EXPTIME relates to the other basic time and space complexity classes in the following way: P ⊆ NP ⊆ PSPACE ⊆ EXPTIME ⊆ NEXPTIME ⊆ EXPSPACE. Furthemore, by the time hierarchy theorem and the space hierarchy theorem, it is known that P ⊊ EXPTIME, NP ⊊ NEXPTIME and PSPACE ⊊ EXPSPACE.

What is the meaning of exp in Computer Science?

In computational complexity theory, the complexity class EXPTIME (sometimes called EXP or DEXPTIME) is the set of all decision problems that have exponential runtime, i.e., that are solvable by a deterministic Turing machine in O(2p(n)) time, where p(n) is a polynomial function of n.

What is exp (expertise)?

Jump to navigation Jump to search. In computational complexity theory, the complexity class EXPTIME (sometimes called EXP or DEXPTIME) is the set of all decision problems that have exponential runtime, i.e., that are solvable by a deterministic Turing machine in O(2p(n)) time, where p(n) is a polynomial function of n.