Search for dissertations about: "algoritm"

Showing result 1 - 5 of 162 swedish dissertations containing the word algoritm.

  2. 1. Representation of Quantum Algorithms with Symbolic Language and Simulation on Classical Computer

    Author : Peter Nyman; Andrei khrennikov; Paul Fischer; Växjö universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Deutsch-Josza algorithm; Grover s algorithm; Quantum computing; Quantum error-correcting; Shor s algorithm; Simon s algorithm; Simulation of quantum algorithms; Deutsch-Josza algoritm; Grovers algoritm; Kvantdatorer; kvantmekanisk felrättande kod; Shors algoritm; Simons algoritm; Simulering av kvantdatorer; MATHEMATICS; MATEMATIK; Mathematics; Matematik;

    Abstract : Utvecklandet av kvantdatorn är ett ytterst lovande projekt som kombinerar teoretisk och experimental kvantfysik, matematik, teori om kvantinformation och datalogi. Under första steget i utvecklandet av kvantdatorn låg huvudintresset på att skapa några algoritmer med framtida tillämpningar, klargöra grundläggande frågor och utveckla en experimentell teknologi för en leksakskvantdator som verkar på några kvantbitar. READ MORE

  4. 2. Exploiting Prior Information in Parametric Estimation Problems for Multi-Channel Signal Processing Applications

    Author : Petter Wirfält; Magnus Jansson; Abdelhak Zoubir; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Array signal processing; covariance matrix; damped sinusoids; direction of arrival estimation; frequency estimation; Kronecker; NQR; NMR; parameter estimation; persymmetric; signal processing algorithms; structured covariance estimation; Toeplitz; Array; signalbehandling; kovariansmatris; dämpad sinus; riktningbestämning; frekvensskattning; Kronecker; NQR; NMR; parameterestimering; persymmetrisk; algoritm; strukturerad kovariansmatris; Toeplitz;

    Abstract : This thesis addresses a number of problems all related to parameter estimation in sensor array processing. The unifying theme is that some of these parameters are known before the measurements are acquired. READ MORE

  5. 3. Input Calibration, Code Validation and Surrogate Model Development for Analysis of Two-phase Circulation Instability and Core Relocation Phenomena

    Author : Viet-Anh Phung; Pavel Kudinov; Cristophe Demaziere; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Reactor system code; input calibration; code validation; surrogate model; two-phase circulation flow instability; in-vessel core relocation; genetic algorithm; artificial neural network; Reaktorsystemkod; indata kalibrering; kodvalidering; surrogatmodell; två-fas cirkulationsflöde; instabilitet; härdrelokering i reaktortanken; genetisk algoritm; artificiella neurala nätverk; Fysik; Physics;

    Abstract : Code validation and uncertainty quantification are important tasks in nuclear reactor safety analysis. Code users have to deal with large number of uncertain parameters, complex multi-physics, multi-dimensional and multi-scale phenomena. READ MORE

  6. 4. Scheduling of parallel matrix computations and data layout conversion for HPC and Multi-Core Architectures

    Author : Lars Karlsson; Bo Kågström; Erik Elmroth; Charles Van Loan; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Computer and systems science; Data- och systemvetenskap; data- och systemvetenskap; computer and systems sciences;

    Abstract : Dense linear algebra represents fundamental building blocks in many computational science and engineering applications. The dense linear algebra algorithms must be numerically stable, robust, and reliable in order to be usable as black-box solvers by expert as well as non-expert users. READ MORE

  7. 5. On particle-based online smoothing and parameter inference in general hidden Markov models

    Author : Johan Westerborn; Jimmy Olsson; Thomas Schön; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : This thesis consists of two papers studying online inference in general hidden Markov models using sequential Monte Carlo methods.The first paper present an novel algorithm, the particle-based, rapid incremental smoother (PaRIS), aimed at efficiently perform online approximation of smoothed expectations of additive state functionals in general hidden Markov models. READ MORE