Sökning: "Osäkerhetskvantifiering"

Hittade 5 uppsatser innehållade ordet Osäkerhetskvantifiering.

1. 1. Randomized Diagonal Estimation

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Niclas Joshua Popp; [2023]
   Nyckelord :Diagonal estimation; randomized numerical linear algebra; low-rank approximation; matrix functions; Diagonalestimering; randomiserad numerisk linjär algebra; lågrankad approximation; matrisfunktioner;

   Sammanfattning : Implicit diagonal estimation is a long-standing problem that is concerned with approximating the diagonal of a matrix that can only be accessed through matrix-vector products. It is of interest in various fields of application, such as network science, material science and machine learning. LÄS MER

3. 2. Uncertainty quantification for offshore wind turbines

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Ziming Wang; [2022]
   Nyckelord :wind energy; uncertainty propagation; polynomial chaos; Rosenblatt transformation; quadrature; regression; vindenergi; osäkerhetsutbredning; polynomkaos; Rosenblatt transformation; kvadratur; regression;

   Sammanfattning : Wind energy is a field with a large number of uncertainties. The random nature of the weather conditions, including wind speed, wind direction, and turbulence intensity, influences the energy output and the structural safety of a wind farm, making its performance fluctuate and difficult to predict. LÄS MER

4. 3. Inverse Uncertainty Quantification for Sounding Rocket Dispersion

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Tove Ågren; [2022]
   Nyckelord :Uncertainty quantification; Bayesian inference; Rocket dispersion; Neural networks; Markov Chain Monte Carlo.; Osäkerhetskvantifiering; Bayesiansk inferens; Raketspridning; Neurala nätverk; Markovkedje-Monte Carlo;

   Sammanfattning : Sounding rocket impact points are subject to dispersion due to uncertainties in simulation model parameters and perturbations of the rocket trajectory during flight. Estimating the area of dispersion assumes that associated model uncertainties and magnitude of perturbations have already been inferred. LÄS MER

5. 4. Numerical methods for the wave equation with uncertainty

   Master-uppsats, KTH/Numerisk analys, NA

   Författare :Benjamin David Weber; [2019]
   Nyckelord :;

   Sammanfattning : The problem of uncertainty quantification for the wave equation with random scatterers is explained and motivated. The background of various methods for solving hyperbolic partial differential equations is discussed, and the details of the numerical solution method used are explained. LÄS MER

7. 5. Ensemble for Deterministic Sampling with positive weights : Uncertainty quantification with deterministically chosen samples

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Tillämpad kärnfysik

   Författare :Arne Sahlberg; [2016]
   Nyckelord :uncertainty quantification; uncertainty propagation; deterministic sampling; unscented transform; monte carlo; random sampling; samping; osäkerhetskvantifiering; osäkerhetspropagering; deterministisk sampling; unscented transform; monte carlo; random sampling; sampling;

   Sammanfattning : Knowing the uncertainty of a calculated result is always important, but especially so when performing calculations for safety analysis. A traditional way of propagating the uncertainty of input parameters is Monte Carlo (MC) methods. A quicker alternative to MC, especially useful when computations are heavy, is Deterministic Sampling (DS). LÄS MER