Results 41 to 50 of about 831,537 (291)

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

Uma abordagem simplificada do método Monte Carlo Quântico: da solução de integrais ao problema da distribuição eletrônica A simplified approach to the Quantum Monte Carlo method: from the solution of integrals to the electronic distribution problem

Química Nova, 2008
The paper presents an introductory and general discussion on the quantum Monte Carlo methods, some fundamental algorithms, concepts and applicability. In order to introduce the quantum Monte Carlo method, preliminary concepts associated with Monte Carlo ...
Wagner Fernando Delfino Angelotti, André Luiz da Fonseca, Guilherme Barreto Torres, Rogério Custodio   +3 more
doaj   +1 more source

Hybrid Monte Carlo-Methods in Credit Risk Management

, 2014
In this paper we analyze and compare the use of Monte Carlo, Quasi-Monte Carlo and hybrid Monte Carlo-methods in the credit risk management system Credit Metrics by J.P.Morgan.
Del Chicca, Lucia, Larcher, Gerhard
core   +1 more source

Markov Chain Monte Carlo Solution of Poisson’s Equation in Axisymmetric Regions

Advanced Electromagnetics, 2019
The advent of the Monte Carlo methods to the field of EM have seen floating random walk, fixed random walk and Exodus methods deployed to solve Poisson’s equation in rectangular coordinate and axisymmetric solution regions.
A. E. Shadare, M. N. O. Sadiku, S. M. Musa   +2 more
doaj   +1 more source

Quantum Monte Carlo Methods in Statistical Mechanics [PDF]

, 1999
This paper deals with the optimization of trial states for the computation of dominant eigenvalues of operators and very large matrices. In addition to preliminary results for the energy spectrum of van der Waals clusters, we review results of the ...
Melik-Alaverdian, Vilen, Nightingale, M. P.   +1 more
core   +3 more sources

Clock Monte Carlo methods [PDF]

Physical Review E, 2019
We propose the clock Monte Carlo technique for sampling each successive chain step in constant time. It is built on a recently proposed factorized transition filter and its core features include its O(1) computational complexity and its generality.
Michel, Manon, Tan, Xiaojun, Deng, Youjin   +2 more
openaire   +5 more sources

Multispin Monte Carlo Method

Dal'nevostochnyi Matematicheskii Zhurnal, 2020
The article offers a Monte Carlo cluster method for numerically calculating a statistical sample of the state space of vector models. The statistical equivalence of subsystems in the Ising model and quasi-Markov random walks can be used to increase the efficiency of the algorithm for calculating thermodynamic means.
K.V. Makarova, A.G. Makarov, M.A. Padalko, V.S. Strongin, K.V. Nefedev   +4 more
openaire   +2 more sources

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

PENENTUAN NILAI KONTRAK OPSI TIPE BINARY PADA KOMODITS KAKAO MENGGUNAKAN METODE QUASI MONTE CARLO DENGAN BARISAN BILANGAN ACAK FAURE

E-Jurnal Matematika, 2017
Contract options are the most important part of an investment strategy. An option is a contract that entitles the owner or holder to sell an asset on a designated maturity date.
DEWA AYU AGUNG PUTRI RATNASARI, KOMANG DHARMAWAN, DESAK PUTU EKA NILAKUSMAWATI   +2 more
doaj   +1 more source

A survey of Monte Carlo methods for parameter estimation

EURASIP Journal on Advances in Signal Processing, 2020
Statistical signal processing applications usually require the estimation of some parameters of interest given a set of observed data. These estimates are typically obtained either by solving a multi-variate optimization problem, as in the maximum ...
David Luengo, Luca Martino, Mónica Bugallo, Víctor Elvira, Simo Särkkä   +4 more
doaj   +1 more source