Essays about: "computational statistics"

Showing result 21 - 25 of 82 essays containing the words computational statistics.

1. 21. Vectorization of the Jacobi method with single- and multiple right-hand sides

   University essay from Lunds universitet/Matematikcentrum; Lunds universitet/Matematik (naturvetenskapliga fakulteten)

   Author : Patrik Paaso; [2022]
   Keywords : C ; Vectorization; SIMD; DUNE; VCL; Vc; Jacobi method; Jacobi iteration; discrete Poisson s equation; Stationary iterative methods; Computational science; Optimization; Numerical analysis; Mathematics and Statistics;

   Abstract : Vectorization has been an important consideration for scientific com- puting performance for a long time. Early super computers were designed around vectorization, the so called ”vector computers”, but recent trends point toward favouring other computer architectures, and vector comput- ers are much more rare than they used to be. READ MORE

3. 22. Monte-Carlo Based Pricing of American Options Using Known Characteristics of the Expected Continuation Value Function

   University essay from Lunds universitet/Matematisk statistik

   Author : Olle Ottander; Fredrik Lindstedt; [2022]
   Keywords : Option; American Option; Monte-Carlo; Least-Square; Black-Scholes; Merton; Finite Moment Log Stable; FMLS; Heston; Expected Continuation Value; Mathematics and Statistics;

   Abstract : The problem of pricing American stock options is far more complex than pricing European options due to the possibility of early execution. This feature means that the decision to either hold on to the option or exercising it early must be continually evaluated, leading to closed form solutions such as the Black-Scholes Formula to not be applicable on American options written on dividend paying assets. READ MORE

4. 23. Scenario Dose Calculation for Robust Optimization in Proton Therapy Treatment Planning

   University essay from Lunds universitet/Matematik LTH

   Author : Johan Sundström; [2021]
   Keywords : cancer; radiation therapy; proton therapy; treatment planning; robust optimization; dose calculation algorithms; scenarios; patient setup; range error; organ motion; pencil beam scanning; computational efficiency; range-corrected dose-mapping; Mathematics and Statistics;

   Abstract : Robust optimization plays a vital role in proton therapy treatment planning. A monoenergetic beam of protons has a finite range and delivers most of its dose at some specific depth in the patient. This allows the design of treatments that mainly damage the tumor and not any surrounding tissue. READ MORE

5. 24. Non-Rigid Volume Registration For DCE-MRI Using Deep Learning

   University essay from Lunds universitet/Matematik LTH

   Author : Jonatan Ferm; [2021]
   Keywords : Mathematics and Statistics;

   Abstract : In dynamically contrast enhanced magnetic resonance imaging (DCE-MRI) mul-tiple images are generated for a single scan. Before further analysis can be done,the images needs to be registered. Traditional registration techniques can yieldimpressive results, but are often very computationally expensive. READ MORE

6. 25. Deep learning for non-intrusive sensing in turbulence with passive scalars

   University essay from KTH/Strömningsmekanik och Teknisk Akustik

   Author : Arivazhagan Geetha Balasubramanian; [2021]
   Keywords : Turbulent boundary layer; passive scalar; direct numerical simulation; Prandtl number; Machine learning; convolutional neural network; Turbulent gränsskikt; passiv skalär; direkt numerisk simulering; Prandtl-nummer; maskininlärning; faltningsneurala nätverk;

   Abstract : The near-wall modelling of turbulent flows has been an active field of research due to the computational cost associated with the direct numerical simulations of such flow, which are characterized by a wide range of length and time scales. With the recent advancements in technological capabilities, the availability of high-fidelity data has enabled the construction of data-driven approaches to model turbulence. READ MORE