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Electronic Colloquium on Computational Complexity

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All reports by Author Martin Sauerhoff:

TR01-066 | 28th September 2001
Pavol Duris, Juraj Hromkovic, Stasys Jukna, Martin Sauerhoff, Georg Schnitger

On Multipartition Communication Complexity

We study k-partition communication protocols, an extension
of the standard two-party best-partition model to k input partitions.
The main results are as follows.

1. A strong explicit hierarchy on the degree of
non-obliviousness is established by proving that,
using k+1 partitions instead of k may decrease
the communication complexity from ... more >>>

TR00-058 | 1st August 2000
Martin Sauerhoff

Approximation of Boolean Functions by Combinatorial Rectangles

This paper deals with the number of monochromatic combinatorial
rectangles required to approximate a Boolean function on a constant
fraction of all inputs, where each rectangle may be defined with
respect to its own partition of the input variables. The main result
of the paper is that the number of ... more >>>

TR00-057 | 25th July 2000
Martin Sauerhoff

An Improved Hierarchy Result for Partitioned BDDs

One of the great challenges of complexity theory is the problem of
analyzing the dependence of the complexity of Boolean functions on the
resources nondeterminism and randomness. So far, this problem could be
solved only for very few models of computation. For so-called
partitioned binary decision diagrams, which are a ... more >>>

TR98-018 | 27th March 1998
Martin Sauerhoff

Randomness and Nondeterminism are Incomparable for Read-Once Branching Programs

Comments: 1

We extend the tools for proving lower bounds for randomized branching
programs by presenting a new technique for the read-once case which is
applicable to a large class of functions. This technique fills the gap
between simple methods only applicable for OBDDs and the well-known
"rectangle technique" of Borodin, Razborov ... more >>>

TR97-030 | 25th August 1997
Martin Sauerhoff

On Nondeterminism versus Randomness for Read-Once Branching Programs

Randomized branching programs are a probabilistic model of computation
defined in analogy to the well-known probabilistic Turing machines.
In this paper, we present complexity theoretic results for randomized
read-once branching programs.
Our main result shows that nondeterminism can be more powerful than
randomness for read-once branching programs. We present a ... more >>>

TR97-019 | 5th May 1997
Martin Sauerhoff

A Lower Bound for Randomized Read-k-Times Branching Programs

In this paper, we are concerned with randomized OBDDs and randomized
read-k-times branching programs. We present an example of a Boolean
function which has polynomial size randomized OBDDs with small,
one-sided error, but only non-deterministic read-once branching
programs of exponential size. Furthermore, we discuss a lower bound
technique for randomized ... more >>>

TR96-022 | 15th March 1996
Martin Sauerhoff, Ingo Wegener, Ralph Werchner

Optimal Ordered Binary Decision Diagrams for Tree-like Circuits

Many Boolean functions have short representations by OBDDs (ordered
binary decision diagrams) if appropriate variable orderings are used.
For tree-like circuits, which may contain EXOR-gates, it is proved
that some depth first traversal leads to an optimal variable ordering.
Moreover, an optimal variable ordering and the resulting OBDD
can ... more >>>

TR94-026 | 12th December 1994
Beate Bollig, Martin Sauerhoff, Detlef Sieling, Ingo Wegener

On the Power of Different Types of Restricted Branching Programs

Almost the same types of restricted branching programs (or
binary decision diagrams BDDs) are considered in complexity
theory and in applications like hardware verification. These
models are read-once branching programs (free BDDs) and certain
types of oblivious branching programs (ordered and indexed BDDs
with k layers). The complexity of ... more >>>

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