Summary The basic ideas behind Monte Carlo methods are presented, after which the special class of discrete-event simulations is discussed more in detail. Two types of implementations are presented: event-based and time-based. The generation of random numbers using pseudo random sequences is ...
We anticipated that not all simulation methods will place emphasis on the same set of data properties and it is thus important to incorporate a wide range of criteria. We then examined a number of statistics for measuring distributional similarity18. Supplementary Fig. 3 shows that all statistics...
Corrigendum to “Medical image analysis methods in MR/CT-imaged acute–subacute ischemic stroke lesion: Segmentation, prediction and insights into dynamic evolution simulation models. A critical appraisal” [NeuroImage: Clinical 1 (2012) 164–178] NeuroImage: Clinical, Volume 2, 2013, Pages 600 Isl...
3.(Computer Science) a representation of a problem, situation, etc, in mathematical terms, esp using a computer 4.(Mathematics)mathsstatisticscomputingthe construction of a mathematical model for some process, situation, etc, in order to estimate its characteristics or solve problems about it probab...
Simulation methods, techniques and tools of computer systems and networks 3 Discrete event simulation Discrete-event simulation (DES) is an extensive field of simulation which has been widely used in the past [2,3]. DES allows representing and studying the behavior of physical systems, i.e., ...
期刊名称:Archives of Computational Methods in Engineering 第一作者:Dana Bishara 通讯作者:Shaofan Li 通讯单位:University of California DOI:10.1007/s11831-022-09795-8 摘要:材料的多尺度模拟和均质化已经成为材料建模和材料设计的主要计算技术和工程工具。然而,并发的多尺度模拟需要大量的计算资源,其中CPU时间随着...
(AI), Altair HyperWorks 2025 features significant advancements in AI-powered engineering and optimization, mechanical and electronics systems design, and simulation-driven design. This release seamlessly integrates finite element analysis software alongside multiphysics and material simulation, empowering teams ...
Seasonal crop yield forecast: Methods, applications, and accuracies 2.3 Use of crop simulation models in crop yield forecasts Process-based crop models use weather, soil, crop, and management information as input to simulate plant development and growth (Asseng et al., 2014; Basso et al., 201...
Monte Carlo Statistical Methods, 2nd ed.; Springer Texts in Statistics; Springer: New York, NY, USA, 2004. [Google Scholar] Bédard, M.; Rosenthal, J.S. Optimal scaling of Metropolis algorithms: Heading toward general target distributions. Canad. J. Statist. 2008, 36, 483–503. [Google ...
We considered the methods and libraries for solving similar systems of linear algebraic equations [43,44,45,46,47,48,49,50] and studied the in-depth comparative analysis of available software libraries [51] and decided to use the Eigen library for all the calculations [52]. ResModel can ...