Sökning: "Fundamental models"
Visar resultat 6 - 10 av 699 avhandlingar innehållade orden Fundamental models.
6. Identification of Stochastic Nonlinear Dynamical Models Using Estimating Functions
Sammanfattning : Data-driven modeling of stochastic nonlinear systems is recognized as a very challenging problem, even when reduced to a parameter estimation problem. A main difficulty is the intractability of the likelihood function, which renders favored estimation methods, such as the maximum likelihood method, analytically intractable. LÄS MER
7. Converting CAD Drawings to Product Models
Sammanfattning : The fundamental aim of this study is to examine whether itis possible to automatically convert vector-based drawings toproduct models. The reason fordoing this is that the newobject-based systems cannot make use of the information storedin CAD drawings, which limits the usability of thesesystems. LÄS MER
8. Textmedierade virtuella världar : Narration, perception och kognition
Sammanfattning : This thesis synthezises theories from intermedia studies, semiotics, Gestalt psychology, cognitive linguistics, cognitive psychology, cognitive poetics, reader response criticism, narratology and possible worlds-theories adjusted to literary studies. The aim is to provide a transdisciplinary explanatory model of the transaction between text and reader during the reading process resulting in the reader experiencing a mental, virtual world. LÄS MER
9. Exact Results in Five-Dimensional Gauge Theories : On Supersymmetry, Localization and Matrix Models
Sammanfattning : Gauge theories are one of the corner stones of modern theoretical physics. They describe the nature of all fundamental interactions and have been applied in multiple branches of physics. The most challenging problem of gauge theories, which has not been solved yet, is their strong coupling dynamics. LÄS MER
10. CALIBRATION OF CHROMATOGRAPHY MODELS
Sammanfattning : AbstractThis thesis is devoted to calibration of mathematical chromatography models. Chromatography models include unknown parameters that must be determined before the models can be applied to optimization or scale-up of a chromatography process. LÄS MER