Resolving combined wave-current fields from measurements using interior point optimization

Localization of point sources in wave fields from boundary measurements using new sensing principle

We address the problem of localizing point sources in 3D from boundary measurements of a wave field. Recently, we proposed the sensing principle which allows extracting volumetric samples of the unknown source distribution from the boundary measurements. The extracted samples allow a non-iterative reconstruction algorithm that can recover the parameters of the source distribution projected on a...

Interior-point methods for optimization

This article describes the current state of the art of interior-point methods (IPMs) for convex, conic, and general nonlinear optimization. We discuss the theory, outline the algorithms, and comment on the applicability of this class of methods, which have revolutionized the field over the last twenty years.

Wave directional spreading from point field measurements

Ocean waves have multidirectional components. Most wave measurements are taken at a single point, and so fail to capture information about the relative directions of the wave components directly. Conventional means of directional estimation require a minimum of three concurrent time series of measurements at different spatial locations in order to derive information on local directional wave sp...

Adaptive parameter estimation using interior point optimization techniques: convergence analysis

Interior Point Optimization techniques have recently emerged as a new tool for developing parameter estimation algorithms [1, 2]. These algorithms aim to take advantage of the fast convergence properties of interior point methods, to yield, in particular, fast transient performance. In this paper we develop a simple analytic center based algorithm, which updates estimates with a constant number...

Adaptive linear filtering using interior point optimization techniques