Sökning: "Monte Carlo algorithms"
Visar resultat 1 - 5 av 89 uppsatser innehållade orden Monte Carlo algorithms.
1. Indocyanine-green fluorescence imaging to detect anastomotic insufficiency after esophagectomy
Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/FörbränningsfysikSammanfattning : This research project is concerned with the development of simulation models and image analysis algorithms, as well as instrumentation for characterizing anastomotic leakages after a patient has undergone surgery for esophageal cancer. Anastomotic leakage is a high-incidence complication after esophagectomy, a surgical procedure for esophageal cancer. LÄS MER
2. Monte Carlo evaluation of static and dynamic 6FFF treatments - Evaluation of dose distributions calculated with AAA, Acuros XB, and Collapsed Cone (RayStation and DoseCheck)
Master-uppsats,Sammanfattning : There are several benefits to removing the standard flattening filter and using so-called flattening filter free (FFF) treatments in external radiation therapy with photons. The main advantage is the possibility of significantly shortening the treatment time, de spite this FFF is not widely used yet. LÄS MER
3. Development of a new SBRT dose planning strategy for thoracic tumours in RayStation
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/RadiofysikSammanfattning : Umeå University Hospital has acquired a new treatment planning system, RayStation, for radiotherapy. It has a different set of dose calculation algorithms that require new planning strategies for stereotactic lung cancer treatments. LÄS MER
4. GPU-Based Path Optimization Algorithm in High-Resolution Cost Map with Kinodynamic Constraints : Using Non-Reversible Parallel Tempering
Master-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)Sammanfattning : This thesis introduces a GPU-accelerated algorithm for path planning under kinodynamic constraints, focusing on navigation of flying vehicles within a high-resolution cost map. The algorithm operates by creating dynamically feasible initial paths, and a non-reversible parallel tempering Markov chain Monte Carlo scheme to optimize the paths while adhering to the nonholonomic kinodynamical constraints. LÄS MER
5. Implementation and evaluation of the Heston-Queue-Hawkes option pricing model
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Sannolikhetsteori och kombinatorikSammanfattning : Introduction: This thesis presents a python implementation and evaluation of the Heston-Queue-Hawkes (HQH) model, a recent jump-diffusion model for pricing options. The model is capable of tracking options for a wide range of different underlying assets. LÄS MER