Sökning: "convex optimisation"

Visar resultat 1 - 5 av 9 avhandlingar innehållade orden convex optimisation.

  1. 1. Optimisation of Long-Term Industrial Planning

    Författare :Peter Forsberg; Chalmers University of Technology; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Optimisation under uncertainty; Transition strategy optimisation; Investment strategies; Multi-objective decision making;

    Sammanfattning : In this thesis, long-term optimisation methods for industrial transition processes have beendeveloped, taking monetary and environmental considerations into account. Two different methods forinvestment optimisation have been developed. LÄS MER

  2. 2. Sparse Modeling of Harmonic Signals

    Författare :Filip Elvander; Statistical Signal Processing Group; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; multi-pitch estimation; sparse modeling; convex optimisation; inharmonicity; sparse recursive least squares; adaptive signal processing; optimal transport distance;

    Sammanfattning : This thesis considers sparse modeling and estimation of multi-pitch signals, i.e., signals whose frequency content can be described by superpositions of harmonic, or close-to-harmonic, structures, characterized by a set of fundamental frequencies. LÄS MER

  3. 3. Cooperative Compressive Sampling

    Författare :Ahmed Zaki; Lars Kildehøj; Saikat Chatterjee; Jan Østergaard; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Compressive sampling; greedy algorithms; convex optimisation; RIP analysis; fusion strategy; distributed learning; sparse learning; stochastic matrix; consensus; sparse estimation; Telecommunication; Telekommunikation;

    Sammanfattning : Compressed Sampling (CS) is a promising technique capable of acquiring and processing data of large sizes efficiently. The CS technique exploits the inherent sparsity present in most real-world signals to achieve this feat. Most real-world signals, for example, sound, image, physical phenomenon etc., are compressible or sparse in nature. LÄS MER

  4. 4. Sequential Monte Carlo for inference in nonlinear state space models

    Författare :Johan Dahlin; Thomas Schön; Fredrik Lindsten; Adam M. Johansen; Linköpings universitet; []

    Sammanfattning : Nonlinear state space models (SSMs) are a useful class of models to describe many different kinds of systems. Some examples of its applications are to model; the volatility in financial markets, the number of infected persons during an influenza epidemic and the annual number of major earthquakes around the world. LÄS MER

  5. 5. Modeling of Multi Terminal HVDC Systemsin Power Flow and Optimal Power Flow Formulations

    Författare :Mohamadreza Baradar; Mehrdad Ghandhari; Bertil Berggren; KTH; []

    Sammanfattning : Nowadays, due to lack of a strong interconnection between electric power systems within EU, there is a concern about the restricted power exchange. On the other hand, one of the factors which results in necessity of improving the level of power exchange is development of renewable energy sources such as offshore wind farms. LÄS MER