Distributed Convex Optimization: A Study on the Primal-Dual Method of Multipliers

The Primal-Dual Method of Multipliers (PDMM) is a new algorithm that solves convex optimization problems in a distributed manner. This study focuses on the convergence behavior of the PDMM. For a deeper understanding, the PDMM algorithm was applied to distributed averaging and distributed dictionary learning problems. The results were compared...

Indoor Localization using Signals of Opportunity

This thesis proposes an algorithm to solve the issue of indoor localization using a source, reference receiver and mobile receiver placed in a convex room. The goal is determination of the position of the mobile receiver. The proposed algorithm consists of two localization techniques known from scientific literature: Time Difference of Arrival...