We associate with a general (0, 1)-matrixM an ordered setP(M) and derive lower and upper bounds for the deterministic communication complexity ofM in terms of the order dimension ofP(M). We furthermore consider the special class of communication matricesM obtained as cliques vs. stable sets incidence matrices of comparability graphsG. We bound their complexity byO((logd)·(logn)), wheren is the number of nodes ofG andd is the order dimension of an orientation ofG. In this special case, our bound is shown to improve other well-known bounds obtained for the general cliques vs. stable set problem
We prove several results which, together with prior work, provide a nearly-complete picture of the r...
AbstractIn a recent paper, Hajnal, Maass, and Turán analyzed the communication complexity of graph c...
We show that randomized communication complexity can be superlogarithmic in the partition number of ...
We associate with a general (0, 1)-matrixM an ordered setP(M) and derive lower and upper bounds for ...
AbstractThe rank of a matrix seems to play a role in the context of communication complexity, a fram...
The rank of a matrix seems to play a role in the context of communication complexity, a framework de...
Identifying complexity measures that bound the communication complexity of a {0,1}-valued matrix M i...
We show that deterministic communication complexity can be superlogarithmic in the partition number ...
This lecture builds on the material from our first lecture, providing more tools for studying commun...
We show that deterministic communication complexity can be super logarithmic in the partition number...
This paper concerns the open problem of Lov'asz and Saks regarding the relationship between th...
We prove that several measures in communication complexity are equivalent, up to polynomial factors ...
AbstractThe notion of communication complexity seeks to capture the amount of communication between ...
The goal of this thesis is to prove lower bounds in communication complexity by exploiting new conne...
We prove several results which, together with prior work, provide a nearly-complete picture of the r...
We prove several results which, together with prior work, provide a nearly-complete picture of the r...
AbstractIn a recent paper, Hajnal, Maass, and Turán analyzed the communication complexity of graph c...
We show that randomized communication complexity can be superlogarithmic in the partition number of ...
We associate with a general (0, 1)-matrixM an ordered setP(M) and derive lower and upper bounds for ...
AbstractThe rank of a matrix seems to play a role in the context of communication complexity, a fram...
The rank of a matrix seems to play a role in the context of communication complexity, a framework de...
Identifying complexity measures that bound the communication complexity of a {0,1}-valued matrix M i...
We show that deterministic communication complexity can be superlogarithmic in the partition number ...
This lecture builds on the material from our first lecture, providing more tools for studying commun...
We show that deterministic communication complexity can be super logarithmic in the partition number...
This paper concerns the open problem of Lov'asz and Saks regarding the relationship between th...
We prove that several measures in communication complexity are equivalent, up to polynomial factors ...
AbstractThe notion of communication complexity seeks to capture the amount of communication between ...
The goal of this thesis is to prove lower bounds in communication complexity by exploiting new conne...
We prove several results which, together with prior work, provide a nearly-complete picture of the r...
We prove several results which, together with prior work, provide a nearly-complete picture of the r...
AbstractIn a recent paper, Hajnal, Maass, and Turán analyzed the communication complexity of graph c...
We show that randomized communication complexity can be superlogarithmic in the partition number of ...