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 log d = O(n) and that M(n) / (n log n) is increasing, we prove that d × d matrices with n-bit integer entries may be multiplied in O(d^2 M(n) + d^ω n 2^O(lg* n − lg* d) M(lg d) / lg d) bit operations. In particular, if n is large compared to d, say d = O(log n), then the complexity is only O(d^2 M(n))
A tight Ω((n/M ̅ ̅√)log27M) lower bound is derived on the I/O complexity of Strassen’s algorithm to ...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
AbstractA probabilistic test for equality a=bc for given n-bit integers a,b,c is designed within com...
Let M(n) denote the bit complexity of multiplying n-bit integers, let ω ∈ (2, 3] be an exponent for ...
THIS PAPER HAS BEEN WITHDRAWN. We briefly discuss the error which was made in the original version o...
We give a new proof of Fürer's bound for the cost of multiplying n-bit integers in the bit complexit...
AbstractThe numbers of bit operations (bt) required for matrix multiplication (MM), matrix inversion...
It is widely known that the lower bound for the algorithmic complexity of square matrix multiplicati...
AbstractThe complexity of matrix multiplication has attracted a lot of attention in the last forty y...
The Strassen algorithm for multiplying $2 \times 2$ matrices requires seven multiplications and 18 ...
The exponent of matrix multiplication is the smallest real number ω such that for all ε>0, O(n^(ω+ε)...
The Strassen algorithm for multiplying 2 x 2 matrices requires seven multiplications and 18 addition...
The evaluation of the product of two matrices can be very computationally expensive. The multiplica...
Let p be a prime, and let M_p(n) denote the bit complexity of multiplying two polynomials in F_p[X] ...
AbstractAn N × N matrix product can be evaluated with precision E > 0 in O(Ns+ϵ log (M/E) log log (M...
A tight Ω((n/M ̅ ̅√)log27M) lower bound is derived on the I/O complexity of Strassen’s algorithm to ...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
AbstractA probabilistic test for equality a=bc for given n-bit integers a,b,c is designed within com...
Let M(n) denote the bit complexity of multiplying n-bit integers, let ω ∈ (2, 3] be an exponent for ...
THIS PAPER HAS BEEN WITHDRAWN. We briefly discuss the error which was made in the original version o...
We give a new proof of Fürer's bound for the cost of multiplying n-bit integers in the bit complexit...
AbstractThe numbers of bit operations (bt) required for matrix multiplication (MM), matrix inversion...
It is widely known that the lower bound for the algorithmic complexity of square matrix multiplicati...
AbstractThe complexity of matrix multiplication has attracted a lot of attention in the last forty y...
The Strassen algorithm for multiplying $2 \times 2$ matrices requires seven multiplications and 18 ...
The exponent of matrix multiplication is the smallest real number ω such that for all ε>0, O(n^(ω+ε)...
The Strassen algorithm for multiplying 2 x 2 matrices requires seven multiplications and 18 addition...
The evaluation of the product of two matrices can be very computationally expensive. The multiplica...
Let p be a prime, and let M_p(n) denote the bit complexity of multiplying two polynomials in F_p[X] ...
AbstractAn N × N matrix product can be evaluated with precision E > 0 in O(Ns+ϵ log (M/E) log log (M...
A tight Ω((n/M ̅ ̅√)log27M) lower bound is derived on the I/O complexity of Strassen’s algorithm to ...
The complexity of matrix multiplication (hereafter MM) has been intensively studied since 1969, when...
AbstractA probabilistic test for equality a=bc for given n-bit integers a,b,c is designed within com...