Sökning: "Stochastic simulation"
Visar resultat 6 - 10 av 233 avhandlingar innehållade orden Stochastic simulation.
6. Stochastic Simulation of Multiscale Reaction-Diffusion Models via First Exit Times
Sammanfattning : Mathematical models are important tools in systems biology, since the regulatory networks in biological cells are too complicated to understand by biological experiments alone. Analytical solutions can be derived only for the simplest models and numerical simulations are necessary in most cases to evaluate the models and their properties and to compare them with measured data. LÄS MER
7. Structural Reliability and Identification with Stochastic Simulation - Application to Railway Mechanics
Sammanfattning : System identification of structures based on measured response data can play a key role in improving reliability based structural designs. However, the experimental limitations of in situ tests and uncertainties of required model complexity together with the inverse nature of system identification give rise to a number of challenging issues. LÄS MER
8. Performance Analysis and Optimization via Simulation
Sammanfattning : A large amount of scientific work has been carried out to enhance the methods used for design and control of technical systems. For many of these systems, the main objective is to utilize the limited resources in an optimal way. Different simulation techniques have, in many cases, been successfully applied to the analysis. LÄS MER
9. Identification and Simulation Methods for Nonlinear Mechanical Systems Subjected to Stochastic Excitation
Sammanfattning : With an ongoing desire to improve product performance, in combination with the continuously growing complexity of engineering structures, there is a need for well-tested and reliable engineering tools that can aid the decision making and facilitate an efficient and effective product development. The technical assessment of the dynamic characteristics of mechanical systems often relies on linear analysis techniques which are well developed and generally accepted. LÄS MER
10. Large-scale simulation-based experiments with stochastic models using machine learning-assisted approaches : Applications in systems biology using Markov jump processes
Sammanfattning : Discrete and stochastic models in systems biology, such as biochemical reaction networks, can be modeled as Markov jump processes. The chemical master equation describes how the probability distribution of a biochemical system's states evolves. Unfortunately, solutions to the chemical master equation only exist for trivial problems. LÄS MER
