A space-efficient algorithm for finding strongly connected components
نویسنده
چکیده
Tarjan’s algorihm for finding the strongly connected components of a directed graph is widely used and acclaimed. His original algorithm required at most v(2 + 5w) bits of storage, where w is the machine’s word size, whilst Nuutila and Soisalon-Soininen reduced this to v(1 + 4w). Many real world applications routinely operate on very large graphs where the storage requirements of such algorithms is a concern. We present a novel improvement on Tarjan’s algorithm which reduces the space requirements to v(1 + 3w) bits in the worst case. Furthermore, our algorithm has been independently integrated into the widely-used SciPy library for scientific computing.
منابع مشابه
Accelerated decomposition techniques for large discounted Markov decision processes
Many hierarchical techniques to solve large Markov decision processes (MDPs) are based on the partition of the state space into strongly connected components (SCCs) that can be classified into some levels. In each level, smaller problems named restricted MDPs are solved, and then these partial solutions are combined to obtain the global solution. In this paper, we first propose a novel algorith...
متن کاملDetecting Strongly Connected Components in Large Distributed State Spaces Sen Software Engineering Detecting Strongly Connected Components in Large Distributed State Spaces
Detecting cycles in a state space is a key task in verification algortihms like LTL/CTL model checking and, less well known, reduction modulo branching bisimulation. This paper focuses on the problem of finding cycles (strongly connected components) in very large distributed state spaces. We present a collection of state space transformations meant as building blocks for custom algorithms. We a...
متن کاملVerified Efficient Implementation of Gabow's Strongly Connected Components Algorithm
We present an Isabelle/HOL formalization of Gabow’s algorithm for finding the strongly connected components of a directed graph. Using data refinement techniques, we extract efficient code that performs comparable to a reference implementation in Java. Our style of formalization allows for re-using large parts of the proofs when defining variants of the algorithm. We demonstrate this by verifyi...
متن کاملNonlinear Viscosity Algorithm with Perturbation for Nonexpansive Multi-Valued Mappings
In this paper, based on viscosity technique with perturbation, we introduce a new non-linear viscosity algorithm for finding a element of the set of fixed points of nonexpansivemulti-valued mappings in a Hilbert space. We derive a strong convergence theorem for thisnew algorithm under appropriate assumptions. Moreover, in support of our results, somenumerical examples (u...
متن کاملAN EFFICIENT HYBRID ALGORITHM BASED ON PARTICLE SWARM AND SIMULATED ANNEALING FOR OPTIMAL DESIGN OF SPACE TRUSSES
In this paper, an efficient optimization algorithm is proposed based on Particle Swarm Optimization (PSO) and Simulated Annealing (SA) to optimize truss structures. The proposed algorithm utilizes the PSO for finding high fitness regions in the search space and the SA is used to perform further investigation in these regions. This strategy helps to use of information obtained by swarm in an opt...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Inf. Process. Lett.
دوره 116 شماره
صفحات -
تاریخ انتشار 2016