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Electronic Colloquium on Computational Complexity
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REPORTS > KEYWORD > LOWER BOUNDS.:
Reports tagged with lower bounds.:
TR94-027 | 12th December 1994
Stasys Jukna

A Note on Read-k Times Branching Programs

A syntactic read-k times branching program has the restriction that no variable occurs more than k times on any path (whether or not consistent). We exhibit an explicit Boolean function f which cannot be computed by nondeterministic syntactic read-k times branching programs of size less than exp(\sqrt{n}}k^{-2k}), although its complement ... more >>>

TR97-020 | 15th May 1997
Oded Goldreich

A Sample of Samplers -- A Computational Perspective on Sampling (survey).

We consider the problem of estimating the average of a huge set of values. That is, given oracle access to an arbitrary function $f:\{0,1\}^n\mapsto[0,1]$, we need to estimate $2^{-n} \sum_{x\in\{0,1\}^n} f(x)$ upto an additive error of $\epsilon$. We are allowed to employ a randomized algorithm which may err with probability ... more >>>

TR98-038 | 9th July 1998
Marek Karpinski

On the Computational Power of Randomized Branching Programs

We survey some upper and lower bounds established recently on the sizes of randomized branching programs computing explicit boolean functions. In particular, we display boolean functions on which randomized read-once ordered branching programs are exponentially more powerful than deterministic or nondeterministic read-$k$-times branching programs for any $k=o(n/\!\log n)$. We investigate ... more >>>

TR00-001 | 14th January 2000
Piotr Berman, Moses Charikar, Marek Karpinski

On-Line Load Balancing for Related Machines

We consider the problem of scheduling permanent jobs on related machines in an on-line fashion. We design a new algorithm that achieves the competitive ratio of $3+\sqrt{8}\approx 5.828$ for the deterministic version, and $3.31/\ln 2.155 \approx 4.311$ for its randomized variant, improving the previous competitive ratios of 8 and $2e\approx ... more >>>

TR01-100 | 14th December 2001
Noga Alon, Wenceslas Fernandez de la Vega, Ravi Kannan, Marek Karpinski

Random Sampling and Approximation of MAX-CSP Problems

We present a new efficient sampling method for approximating r-dimensional Maximum Constraint Satisfaction Problems, MAX-rCSP, on n variables up to an additive error \epsilon n^r.We prove a new general paradigm in that it suffices, for a given set of constraints, to pick a small uniformly random subset of its variables, ... more >>>

TR05-136 | 14th November 2005
Anna Gal, Michal Koucký, Pierre McKenzie

Incremental branching programs

In this paper we propose the study of a new model of restricted branching programs which we call incremental branching programs. This is in line with the program proposed by Cook in 1974 as an approach for separating the class of problems solvable in logarithmic space from problems solvable in ... more >>>



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