Computer Science: An Overview: Global Edition (12th Edition)

Published by Pearson Higher Education
ISBN 10: 1292061162
ISBN 13: 978-1-29206-116-0

Chapter 12 - Theory of Computation - Chapter Review Problems - Page 572: 38

Answer

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Work Step by Step

The distinction lies in the complexity classes to which the problems belong. - A polynomial problem can be solved by a deterministic algorithm in polynomial time, meaning the time it takes to solve the problem grows polynomially with the size of the input. - A nondeterministic polynomial (NP) problem can be verified in polynomial time, but there's no known deterministic polynomial-time algorithm to solve it. This means, if someone claims to have a solution, it can be verified quickly, but finding the solution itself might take exponential time. In summary, stating a problem is polynomial means it's efficiently solvable, while stating it's NP means it's efficiently verifiable but potentially hard to solve.
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