Results 31 to 40 of about 2,482,039 (287)
Optimal constant-time approximation algorithms and (unconditional) inapproximability results for every bounded-degree CSP [PDF]
Raghavendra (STOC 2008) gave an elegant and surprising result: if Khot's Unique Games Conjecture (STOC 2002) is true, then for every constraint satisfaction problem (CSP), the best approximation ratio is attained by a certain simple semidefinite ...
Yuichi Yoshida
semanticscholar +1 more source
On the Incomparability of Cache Algorithms in Terms of Timing Leakage [PDF]
Modern computer architectures rely on caches to reduce the latency gap between the CPU and main memory. While indispensable for performance, caches pose a serious threat to security because they leak information about memory access patterns of programs ...
Pablo Cañones, Boris Köpf, Jan Reineke
doaj +1 more source
Online Learning Approaches in Maximizing Weighted Throughput in an Unreliable Channel
We design online algorithms to schedule unit-length packets with values and deadlines through an unreliable communication channel. In this model, time is discrete. Packets arrive over time; each packet has a non-negative value and an integer deadline. In
Zhi Zhang, Fei Li
doaj +1 more source
Partition-Merge: Distributed Inference and Modularity Optimization
This paper presents a novel meta-algorithm, Partition-Merge (PM), which takes existing centralized algorithms for graph computation and makes them distributed and faster. In a nutshell, PM divides the graph into small subgraphs using our novel randomized
Vincent Blondel +4 more
doaj +1 more source
Constant-time Quantum Algorithm for Homology Detection of Closed Curves
Given an oracle that could query the inclusion of edges on a closed curve, we give a constant-time (single query usage) quantum algorithm that determines whether or not that curve is homologous to zero on a two-dimensional manifold.
Vu, Nhat Anh Nghiem +2 more
openaire +4 more sources
S-RASTER: contraction clustering for evolving data streams
Contraction Clustering (RASTER) is a single-pass algorithm for density-based clustering of 2D data. It can process arbitrary amounts of data in linear time and in constant memory, quickly identifying approximate clusters.
Gregor Ulm +4 more
doaj +1 more source
A comparative study of two algorithms of multi - processor scheduling [PDF]
This study tackles the processes scheduling problem of multiprocessor and describing two algorithms from many algorithms for an array of dependent processes, which are represented by, direct a cj'clic Graph on different forms correlation among the ...
Isra Al-Kallak, Ahmed Al-Sabawi
doaj +1 more source
Algorithms for non-Hamiltonian dynamics
Statistical averages in a variety of many-body problems can be efficiently calculated through deterministic dynamics. When thermodynamical constraints (such as constant-temperature and/or constant-pressure) must be enforced, energy-conserving non ...
Alessandro Sergi, Gregory S. Ezra
doaj +1 more source
Approximate Counting for Spin Systems in Sub-Quadratic Time [PDF]
We present two randomised approximate counting algorithms with $\widetilde{O}(n^{2-c}/\varepsilon^2)$ running time for some constant $c>0$ and accuracy $\varepsilon$: (1) for the hard-core model with fugacity $\lambda$ on graphs with maximum degree $
Konrad Anand +4 more
doaj +1 more source
First-order query evaluation on structures of bounded degree [PDF]
We consider the enumeration problem of first-order queries over structures of bounded degree. It was shown that this problem is in the Constant-Delaylin class. An enumeration problem belongs to Constant-Delaylin if for an input of size n it can be solved
Wojciech Kazana, Luc Segoufin
doaj +1 more source

