Exact solutions for the two- and all-terminal reliabilities of a simple ladder network
Christian Tanguy
Abstract
The exact calculation of network reliability in a probabilistic context has been a long-standing issue of practical importance, but a difficult one, even for planar graphs, with perfect nodes and with edges of identical reliability p. Many approaches (determination of bounds, sums of disjoint products algorithms, Monte Carlo evaluations, studies of the reliability polynomials, etc.) can only provide approximations when the network's size increases. We consider here a ladder graph of arbitrary size corresponding to real-life network configurations, and give the exact, analytical solutions for the all- and two-terminal reliabilities. These solutions use transfer matrices, in which individual reliabilities of edges and nodes are taken into account. The special case of identical edge and node reliabilities -- p and rho, respectively -- is solved. We show that the zeros of the two-terminal reliability polynomial exhibit structures which differ substantially for seemingly similar networks, and we compare the sensitivity of various edges. We discuss how the present work may be further extended to lead to a catalog of exactly solvable networks in terms of reliability, which could be useful as elementary bricks for a new and improved set of bounds or benchmarks in the general case.
Create a lesson
Related papers
FoldPipe: Bounded Remote Streaming of Native Molecular Shards with Asynchronous Prefetch
Dhiren Mukesh Khatri
TOPIQ: Statistical Error Propagation for Quantity-of-Interest Prediction under Lossy Compression
Youyuan Liu, Bo Jiang, Taolue Yang et al.
Launch-Bound and Substitutable: Why Three Inference Optimizations Fail to Pay Off in Mixture-of-Experts Models
Gokulakannan Sakthivel, Jerry Wu, Amogh Rajendra et al.
Direct-Operable SIMD Bit-Slicing: A Framework for Memory-Efficient Predicate Evaluation
Arunkumar Mathiyazhagan
When Structure is Silent: Opportunities for Algorithmic Dispatch in Linear Algebra
Emmanuel Lujan, Alan Edelman
Portable to Efficient: Auto-Tuning Hardware-Agnostic GPU Kernels in Julia
Floris-Jan Willemsen, Evelyne Ringoot, Alan Edelman