Results 51 to 60 of about 405,092 (308)
Graph Coloring Using Eigenvalue Decomposition [PDF]
A heuristic algorithm for proper vertex colouring of a graph which is based on eigenvectors of the adjacency matrix is proposed in this paper. Signs of coordinates of the eigenvector belonging to the least eigenvalue determine a 2-colouring. This colouring is refined using gradually other eigenvectors in a similar way.
Aspvall, Bengt, Gilbert, John R.
openaire +1 more source
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Notes on upper bounds for the largest eigenvalue based on edge-decompositions of a signed graph
The adjacency matrix of a signed graph has +1 or -1 for adjacent vertices, depending on the sign of the connecting edge. According to this concept, an ordinary graph can be interpreted as a signed graph without negative edges.
Zoran Stanić
doaj +1 more source
The Grushko decomposition of a finite graph of finite rank free groups: an algorithm
A finitely generated group admits a decomposition, called its Grushko decomposition, into a free product of freely indecomposable groups. There is an algorithm to construct the Grushko decomposition of a finite graph of finite rank free groups.
Bestvina +11 more
core +1 more source
The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis
ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen +5 more
wiley +1 more source
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva +4 more
wiley +1 more source
Structural Decomposition of Reactions of Graph-Like Objects [PDF]
Inspired by decomposition problems in rule-based formalisms in Computational Systems Biology and recent work on compositionality in graph transformation, this paper proposes to use arbitrary colimits to "deconstruct" models of reactions in which states ...
Tobias Heindel
doaj +1 more source
On the decomposition of circulant graphs using algorithmic approaches
Many structural models in chemistry, biology, computer science, sociology, and operations research can be analyzed using graph theory. Some examples of these structure models are species movement between regions, molecular bonds, shortest spanning trees,
A. El-Mesady, Y.S. Hamed, H. Shabana
doaj +1 more source
Highly irregular graph decompositions
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bensmail, Julien +3 more
openaire +2 more sources
Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems
This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley +1 more source

