Abstract
Computations with integers are at the core of a long-standing tradition in both computer science and number theory. A common feature is a measure of magnitude of an integer x given by the number of zeros and ones necessary to write the binary expansion of x (i.e.,\( \left\lceil {\log (|{\text{x}}| + 1)} \right\rceil \)). The relevant complexity measure is the bit cost. In the first section of this chapter, we show that machines over ℤ with bit cost and over ℤ2 with unit cost are polynomially equivalent. Thus, we refer to either setting as classical.
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© 1998 Springer Science+Business Media New York
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Blum, L., Cucker, F., Shub, M., Smale, S. (1998). Integer Machines. In: Complexity and Real Computation. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0701-6_6
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DOI: https://doi.org/10.1007/978-1-4612-0701-6_6
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-6873-4
Online ISBN: 978-1-4612-0701-6
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