Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network

Open Access. Powered by Scholars. Published by Universities.®

PDF

University of Texas at El Paso

Departmental Technical Reports (CS)

Series

2018

Computational complexity

Articles 1 - 1 of 1

Full-Text Articles in Entire DC Network

Why Encubation?, Vladik Kreinovich, Rohan Baingolkar, Swapnil S. Chauhan, Ishtjot S. Kamboj Mar 2018

Why Encubation?, Vladik Kreinovich, Rohan Baingolkar, Swapnil S. Chauhan, Ishtjot S. Kamboj

Departmental Technical Reports (CS)

It is known that some algorithms are feasible, and some take too long to be practical/ For example, if the running time of an algorithm is 2n, where n = len(x) is the bit size of the input x, then already for n = 500, the computation time exceeds the lifetime of the Universe. In computer science, it is usually assumed that an algorithm A is feasible if and only if it is polynomial-time, i.e., if its number of computational steps tA(x) on any input x is bounded by a polynomial P(n) of the input …