Specifically, we consider such additional information in the form of a collection of knowingly corresponding functions (seeds) or vector-valued vertex attributes, and show a constructive spectral ...

In this assignment, written in Matlab code, we implement specific algorithms from Optimization Techniques on convex functions of one or multiple variables, aiming to find their minimum point. In the ...

The structural properties of graphs are usually characterized in terms of invariants, which are functions of graphs that do not depend on the labeling of the nodes. In this paper we study convex graph ...

Convex optimisation constitutes a fundamental area in applied mathematics where the objective is to identify the minimum of a convex function subject to a set of convex constraints. This framework ...

Discover the proof that the average function of a trigonometrically ρ-convex function is also ... if for any arbitrary closed subinterval of such that , the graph of for lies nowhere above the ... and ...

We investigate the convergence rate of the recently proposed subgadient-push method for distributed separable optimization over time-varying directed graphs. The algorithm requires no knowledge of ...

We consider the solution of matching problems with a convex cost function via a network flow algorithm. We review the general mapping between matching problems and flow problems on skew symmetric ...