Search for dissertations about: "distributed optimization"

Showing result 11 - 15 of 214 swedish dissertations containing the words distributed optimization.

  2. 11. Asynchronous Algorithms for Large-Scale Optimization : Analysis and Implementation

    Author : Arda Aytekin; Mikael Johansson; Panagiotis K. Patrinos; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; convex optimization; optimization; asynchronous algorithms; algorithms; parallel algorithms; large-scale; big data; Electrical Engineering; Elektro- och systemteknik;

    Abstract : 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. READ MORE

  4. 12. Toward Robust Optimization of Adaptive Radiation Therapy

    Author : Michelle Böck; Anders Forsgren; Minsun Kim; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; optimization; adaptive radiation therapy; radiation therapy treatment planning; uncertainty; robust optimization; stochastic programming; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics;

    Abstract : Adaptive radiation therapy is an evolving cancer treatment approach which relies on adapting the treatment plan in response to patient-specific interfractional geometric variations occurring during the fractionated treatment. If those variations are not addressed through adaptive replanning, the resulting treatment quality may be compromised. READ MORE

  5. 13. Generalization under Model Mismatch and Distributed Learning

    Author : Martin Hellkvist; Ayca Özcelikkale; Anders Ahlén; Martin Jaggi; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine learning; Signal processing; Generalization error; Training error; Double-descent; Double descent; Distributed learning; Distributed optimization; Learning over networks; Model mismatch; Model misspecification; Fake features; Missing features; linear regression; regularization; Machine learning; Maskininlärning;

    Abstract : Machine learning models are typically configured by minimizing the training error over a given training dataset. On the other hand, the main objective is to obtain models that can generalize, i.e., perform well on data unseen during training. READ MORE

  6. 14. Structure exploiting optimization methods for model predictive control

    Author : Emil Klintberg; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Multi-stage robust MPC; Optimization methods.; Model Predictive Control; Distributed optimization;

    Abstract : This thesis considers optimization methods for Model Predictive Control (MPC). MPC is the preferred control technique in a growing set of applications due to its flexibility and to the natural way in which constraints can be incorporated in the control policy. READ MORE

  7. 15. Bandwidth Limited Distributed Optimization with Applications to Networked Cyberphysical Systems

    Author : Sindri Magnússon; Carlo Fischione; Steven Low; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Distributed Optimization; Resource Allocation; Power Networks; Limited Communication; Networks; Cyberphysical Systems; Wireless Sensor Networks; Internet of Things; Electrical Engineering; Elektro- och systemteknik;

    Abstract : The emerging technology of Cyberphysical systems consists of networked computing, sensing, and actuator devices used to monitor, connect, and control physical phenomena. In order to economically and sustainably operate Cyberphysical systems, their devices need to cooperate over a communication network to solve optimization problems. READ MORE