Sökning: "asynchronous methods"
Visar resultat 1 - 5 av 36 avhandlingar innehållade orden asynchronous methods.
1. Asynchronous Algorithms for Large-Scale Optimization : Analysis and Implementation
Sammanfattning : This thesis proposes and analyzes several first-order methods for convex optimization, designed for parallel implementation in shared and distributed memory architectures. The theoretical focus is on designing algorithms that can run asynchronously, allowing computing nodes to execute their tasks with stale information without jeopardizing convergence to the optimal solution. LÄS MER
2. Adaptive time-integration for goal-oriented and coupled problems
Sammanfattning : We consider efficient methods for the partitioned time-integration of multiphysics problems, which commonly exhibit a multiscale behavior, requiring independent time-grids. Examples are fluid structure interaction in e.g., the simulation of blood-flow or cooling of rocket engines, or ocean-atmosphere-vegetation interaction. LÄS MER
3. A Signal Processing Approach to Practical Neurophysiology : A Search for Improved Methods in Clinical Routine and Research
Sammanfattning : Signal processing within the neurophysiological field is challenging and requires short processing time and reliable results. In this thesis, three main problems are considered.First, a modified line source model for simulation of muscle action potentials (APs) is presented. LÄS MER
4. Positioning and Tracking in Asynchronous Wireless Sensor Networks
Sammanfattning : This thesis deals with the problem of locating mobile nodes in anasynchronous wireless communication network, i.e., a wireless network of mobileterminals where some or all nodes do not have access to a global time reference. LÄS MER
5. Nonparametric Message Passing Methods for Cooperative Localization and Tracking
Sammanfattning : The objective of this thesis is the development of cooperative localization and tracking algorithms using nonparametric message passing techniques. In contrast to the most well-known techniques, the goal is to estimate the posterior probability density function (PDF) of the position of each sensor. LÄS MER