Results 51 to 60 of about 1,455,452 (353)

A comparative study between Classical Numerical Methods and Monte Carlo Methods [PDF]

المجلة العراقية للعلوم الاحصائية, 2008
Recently, there is a great interest in the methods of Monte Carlo used for the treatment of different technical and scientific issues. This research deals with using the Monte Carlo methods in numerical integration by making a general comparison between
doaj   +1 more source

Self-Learning Monte Carlo Method: Continuous-Time Algorithm

, 2017
The recently-introduced self-learning Monte Carlo method is a general-purpose numerical method that speeds up Monte Carlo simulations by training an effective model to propose uncorrelated configurations in the Markov chain.
Fu, Liang, Liu, Junwei, Nagai, Yuki, Qi, Yang, Shen, Huitao   +4 more
core   +1 more source

PENGGUNAAN SIMULASI MONTE CARLO DALAM ESTIMASI VALUE AT RISK (VaR) PORTOFOLIO YANG DIBENTUK DARI INDEKS HARGA SAHAM MULTINASIONAL

E-Jurnal Matematika, 2022
Investment is buying an asset that is expected in the future can be resold and get a high profit value. There are two factors that must be considered when you want to invest in stocks, namely the rate of return on stocks and risk factors.
NABILA NUR JANNAH, KOMANG DHARMAWAN, LUH PUTU IDA HARINI   +2 more
doaj   +1 more source

Path Integral Quantum Monte Carlo Method for Light Nuclei [PDF]

arXiv, 2022
I describe the first continuous space nuclear path integral quantum Monte Carlo method, and calculate the ground state properties of light nuclei including Deuteron, Triton, Helium-3 and Helium-4, using both local chiral interaction up to next-to-next-to-leading-order and the Argonne $v_6'$ interaction. Compared with diffusion based quantum Monte Carlo
arxiv  

Schedules of lectures and Monte Carlo method

Lietuvos Matematikos Rinkinys, 2011
In this paper the problem of the construction of schedule of lectures is considered. The Markov chain Monte Carlo method is used. A particular program based on simulated annealing algorithm was created.
Nikolaj Grigorjev, Gediminas Stepanauskas   +1 more
doaj   +1 more source

Generating sequential space-filling designs using genetic algorithms and Monte Carlo methods [PDF]

, 2010
In this paper, the authors compare a Monte Carlo method and an optimization-based approach using genetic algorithms for sequentially generating space-filling experimental designs.
D. Gorissen, D. Gorissen, D. Gorissen, E.R. Dam van, K.Q. Ye, M. Johnson, M. Sugiyama, M.D. Morris, R. Lehmensiek, V.R. Joseph   +9 more
core   +2 more sources

Optimization of target grouping in distributive stereotactic radiosurgery using the excel evolutionary solver

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Distributive stereotactic radiosurgery (dSRS) is a form of fractionation where groups of metastases are treated with a full single‐fraction dose on different days. The challenge with dSRS is determining optimal target groupings to maximize the distance between targets treated in the same fraction.
Chester Ramsey, Samuel Gallemore, Joseph Bowling   +2 more
wiley   +1 more source

Monte Carlo Method with Heuristic Adjustment for Irregularly Shaped Food Product Volume Measurement

The Scientific World Journal, 2014
Volume measurement plays an important role in the production and processing of food products. Various methods have been proposed to measure the volume of food products with irregular shapes based on 3D reconstruction.
Joko Siswantoro, Anton Satria Prabuwono, Azizi Abdullah, Bahari Idrus   +3 more
doaj   +1 more source

Partial and full arc with DynamicARC technique in pencil beam scanning proton therapy for bilateral head and neck cancer: A feasibility and dosimetric study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose A novel proton beam delivery method known as DynamicARC spot scanning has been introduced. The current study aims to determine whether the partial proton arc technique, in conjunction with DynamicARC pencil beam scanning (PBS), can meet clinical acceptance criteria for bilateral head and neck cancer (HNC) and provide an alternative to ...
Suresh Rana, Noufal Manthala Padannayil, Shyam Pokharel, Hina Saeed, Michael Kasper   +4 more
wiley   +1 more source

Improving VMAT dose calculation accuracy and planning quality via a GPU‐accelerated Fourier transform dose calculation algorithm

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Inverse planning typically utilizes fast, less accurate dose calculation algorithms during the iterative optimization process, thus leading to dose calculation errors (DCEs) and suboptimal plans that often require dose normalization and/or plan re‐optimization.
Kenny Guida, Chaoqiong Ma, Joy Patel, Krishna Reddy, H. Harold Li   +4 more
wiley   +1 more source