Sökning: "Applied Mathematics and Statistics"

Visar resultat 21 - 25 av 177 avhandlingar innehållade orden Applied Mathematics and Statistics.

  1. 21. Approximating Stochastic Partial Differential Equations with Finite Elements: Computation and Analysis

    Författare :Andreas Petersson; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Lévy process; Lyapunov equation; white noise; finite element method; multilevel Monte Carlo; Monte Carlo; multiplicative noise; asymptotic mean square stability; stochastic heat equation; covariance operator; weak convergence; generalized Wiener process; numerical approximation; stochastic wave equation; Stochastic partial differential equations;

    Sammanfattning : Stochastic partial differential equations (SPDE) must be approximated in space and time to allow for the simulation of their solutions. In this thesis fully discrete approximations of such equations are considered, with an emphasis on finite element methods combined with rational semigroup approximations. LÄS MER

  3. 22. Modelling short and long term consequences of changes in diagnostic activity and treatment

    Författare :Marcus Westerberg; Rolf Larsson; Hans Garmo; Pär Stattin; Keith Humphreys; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; mathematics prostate cancer statistics diagnostic activity; Statistics; Statistik; Epidemiologi; Epidemiology; Mathematics with specialization in Applied Mathematics; Matematik med inriktning mot tillämpad matematik;

    Sammanfattning : Since the late 90’s the diagnostic activity for prostate cancer has increased in Sweden, primarily due to increased use of PSA testing, and this has led to a large increase in diagnoses. Simultaneously, there have been changes in treatment strategies, and more effective treatments have been introduced. LÄS MER

  4. 23. Sensitivity and Uncertainty Analysis Methods : with Applications to a Road Traffic Emission Model

    Författare :Olle Eriksson; Stig Danielsson; Rolf Sundberg; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Emission; Grid; Model; Pollutant; Response surface; Road traffic; Sensitivity analysis; Simulation; Uncertainty analysis; Avgaser; Vägtrafik; Miljöaspekter; Statistics; Statistik;

    Sammanfattning : There is always a need to study the properties of complex input–output systems, properties that may be very difficult to determine. Two such properties are the output’s sensitivity to changes in the inputs and the output’s uncertainty if the inputs are uncertain. LÄS MER

  5. 24. Modeling of bacterial DNA patterns important in horizontal gene transfer using stochastic grammars

    Författare :Mariana Buongermino Pereira; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Stochastic context-free grammars; hidden Markov model; conditional random fields; integrons; attC sites; secondary structure.; secondary structure.;

    Sammanfattning : DNA contains genes which carry the blueprints for all processes necessary to maintain life. In addition to genes, DNA also contains a wide range of functional patterns, which governs many of these processes. These functional patterns have typically a high variability, both within and between species, which makes them hard to detect. LÄS MER

  7. 25. System identification of large-scale linear and nonlinear structural dynamicmodels

    Författare :Vahid Yaghoubi Nasrabadi; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Finite element model; Surrogate modeling; Bootstrapping; Polynomial chaos expansion; System identification; Exponential integration; Uncertainty quantification;

    Sammanfattning : System identification is a powerful technique to build a model from measurement data by using methods from different fields such as stochastic inference, optimization and linear algebra. It consists of three steps: collecting data, constructing a mathematical model and estimating its parameters. LÄS MER