Abstract: In the function computation problem, certain nodes of an undirected graph have access to independent data, while some other nodes of the graph require certain functions of the data; this ...

Abstract: In the graph-based semi-supervised learning, the Green-function method is a classical method that works by computing the Green's function in the graph space. However, when applied to large ...

PNAS is the world's most-cited multidisciplinary scientific serial. It publishes high-impact research reports, commentaries, perspectives, reviews, colloquium papers, and actions of the Academy. In ...

In the realm of computer science, it’s hard to go too far without encountering hashing or hash functions. The concept appears throughout security, from encryption to password storage to crypto, and ...

Graphs of exponential functions and logarithmic functions provide a visual insight into their properties, such as growth, decay, and the inverse relationship between them. Graphs of exponential ...

Vector set of graphs with 9 basic mathematical functions with... Vector set of graphs or charts with 9 basic mathematical functions with grid and coordinates isolated on a white background. Linear, ...

Is your feature request related to a problem? Please describe. I need a material law applies to following conditions: Support temperature-dependent Young's modulus and Poisson's ratio; Support ...

Hall-effect position sensors from TDK-Micronas reduce interference from stray magnetic fields in automotive and industrial applications. The HAL 3930-4100 (single die) and HAR 3930-4100 (dual die) ...

ABSTRACT: A graph G is said to be one modulo N-difference mean graph if there is an injective function f from the vertex set of G to the set , where N is the natural number and q is the number of ...