ECCC
Electronic Colloquium on Computational Complexity
Login | Register | Classic Style



REPORTS > KEYWORD > RANK:
Reports tagged with Rank:
TR96-024 | 21st March 1996
Eric Allender, Robert Beals, Mitsunori Ogihara

The complexity of matrix rank and feasible systems of linear equations

We characterize the complexity of some natural and important problems in linear algebra. In particular, we identify natural complexity classes for which the problems of (a) determining if a system of linear equations is feasible and (b) computing the rank of an integer matrix, (as well as other problems), are ... more >>>

TR02-016 | 30th January 2002
Alina Beygelzimer, Mitsunori Ogihara

On the Enumerability of the Determinant and the Rank

We investigate the complexity of enumerative approximation of two elementary problems in linear algebra, computing the rank and the determinant of a matrix. In particular, we show that if there exists an enumerator that, given a matrix, outputs a list of constantly many numbers, one of which is guaranteed to ... more >>>

TR03-075 | 7th September 2003
Agostino Capponi

A tutorial on the Deterministic two-party Communication Complexity

Communication complexity is concerned with the question: how much information do the participants of a communication system need to exchange in order to perform certain tasks? The minimum number of bits that must be communicated is the deterministic communication complexity of $f$. This complexity measure was introduced by Yao \cite{1} ... more >>>

TR08-108 | 19th November 2008
Nitin Saxena, C. Seshadhri

An Almost Optimal Rank Bound for Depth-3 Identities

We show that the rank of a depth-3 circuit (over any field) that is simple, minimal and zero is at most O(k^3\log d). The previous best rank bound known was 2^{O(k^2)}(\log d)^{k-2} by Dvir and Shpilka (STOC 2005). This almost resolves the rank question first posed by Dvir and Shpilka ... more >>>

TR09-054 | 7th June 2009
Emanuele Viola, Emanuele Viola

Cell-Probe Lower Bounds for Prefix Sums

We prove that to store n bits x so that each prefix-sum query Sum(i) := sum_{k < i} x_k can be answered by non-adaptively probing q cells of log n bits, one needs memory > n + n/log^{O(q)} n. Our bound matches a recent upper bound of n + n/log^{Omega(q)} ... more >>>



ISSN 1433-8092 | Imprint