Abstract
Let M(n) denote the bit complexity of multiplying n-bit integers, let ω∈(2,3] be an exponent for matrix multiplication, and let lg⁎n be the iterated logarithm. Assuming that logd=O(n) and that M(n)/(nlogn) is increasing, we prove that d×d matrices with n-bit integer entries may be multiplied in O(d2M(n)+dωn2O(lg⁎n−lg⁎d)M(lgd)/lgd) bit operations. In particular, if n is large compared to d, say d=O(logn), then the complexity is only O(d2M(n)).
| Original language | English |
|---|---|
| Pages (from-to) | 1-8 |
| Number of pages | 8 |
| Journal | Journal of Symbolic Computation |
| Volume | 89 |
| DOIs | |
| Publication status | Published - 1 Nov 2018 |
Keywords
- Algorithm
- Bluestein reduction
- Complexity
- FFT
- Matrix multiplication