Abstract. High-resolution large-scale predictions of hydrologic states and fluxes are important for many multi-scale applications, including water resource management. However, the existing global- to continental-scale hydrological models applied at coarse resolution neglect more complex processes such as lateral surface groundwater flow, thereby not capturing smaller-scale processes. Applicati...

A generalized simplified model for describing the dynamic behavior of distributed parameter systems is proposed. The various specific characteristics of gain and phase angle of distributed parameter systems are investigated from frequency response formulation and complex plane representation of the proposed simplified model. The complex plane investigation renders some important inequality cons...

Change-point detection has been a fundamental problem in quality control, hazards monitoring and cybersecurity. With the ever-growing complexity of system and enlarging number of sensors, multi-sensor detection algorithms are in real demand. However, most existing detection algorithms consider a centralized approach, meaning that one collects all data at one location, which sometimes may be inf...

This work studies a fully distributed algorithm for computing the PageRank vector, which is inspired by the Matching Pursuit and features: 1) fully distributed 2) expected converges with exponential rate 3) low storage requirement (two scalar values per page). Illustrative experiments are conducted to verify the findings. I. PROBLEM STATEMENT PageRank vector was proposed by the founders of the ...

We design and analyze a fully distributed algorithm for convex constrained optimization in networks without any consistent naming infrastructure. The algorithm produces an approximately feasible and near-optimal solution in time polynomial in the network size, the inverse of the permitted error, and a measure of curvature variation in the dual optimization problem. It blends, in a novel way, go...