نتایج جستجو برای: sobol wu parameters

تعداد نتایج: 588017  

2011
Shuyu Wang Fenghui Wang

We consider the relaxed and contraction-proximal point algorithms in Hilbert spaces. Some conditions on the parameters for guaranteeing the convergence of the algorithm are relaxed or removed. As a result, we extend some recent results of Ceng-Wu-Yao and Noor-Yao.

جواد احدیان, علیرضا افضلیان

از آنجا که یکی از کاربردهای سرریزهای کلیدپیانویی استفاده از آنها در کانال‌های آبیاری و زهکشی می‌باشد و البته این امکان وجود دارد که به جهت توان تخلیه‌ی بالای جریان، در فصول کم آبی سطح آب با کاهش شدید روبه رو شود؛ لذا با ساخت پاراپت‌وال‌هایی با توانایی تغییر شیب می‌توان این امکان را برای سرریز به وجود آورد که بتواند سطح آب در بالادست خود را در صورت کاهش دبی در یک حدّ مشخصی ثابت نگه دارد. در پژوهش...

Journal: :Epj Web of Conferences 2021

In the BEPU (Best Estimate Plus Uncertainty) framework, uncertainty quantification (UQ) is a requirement to improve confidence and reliability of code predictions. Over years, lot works have been done quantify uncertainties in predictions spent nuclear fuel (SNF) characteristics due data uncertainties. The purpose this study pressurized water reactor (PWR) assembly radiation source terms (isoto...

2006
Diethelm Würtz

We report on the implementation of high dimensional scrambled Sobol sequences for Monte Carlo Simulations under the statistical software packages R and SPlus. The generator provides low discrepancy sequences distributed uniformly in [0, 1) or distributed normally with mean zero and variance one. The implementation interfaces the ACM Algorithm 659 which allows to generate three different types o...

Journal: :Chemical Engineering Science 2021

Model-driven design requires a well-calibrated model and therefore needs efficient workflows to achieve this. This efficiency can be achieved with the identification of critical process parameters (CPPs) most impactful modelling followed by targeted experimental campaign prioritise calibration these. To identify these it is essential perform global sensitivity analysis (GSA). Here, an GSA appli...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه بیرجند - دانشکده کشاورزی 1390

abstract this study is carried out to determine the chemical composition in the three vegetative stages of the haloxylon sp., degradation parameters, with adding naoh and ca(oh2 ). for this purpose, in may and october and january 2010 enough some haloxylon sp. of the ammary area was prepared. crude protein and ash percentage are decrease, neutral detergent fiber percentage with pragress stage ...

2013
Yanrui Wu

To cope with the rising labour cost and protect the country’s deteriorating environmental conditions, Chinese policy makers have recently made a series of policy changes to promote innovation and hence the development of a knowledge-based economy in the country in the coming decades. As a result, China’s R&D spending has expanded substantially. This paper contributes to the understanding of R&D...

2000
Zheng Wu

Canada in the mid-1980s, we know virtually nothing about contraceptive use among Canadians during the 1990s.2 The 1995 General Social Survey (GSS-95) collected detailed information on contraceptive use, as well as fertility and union histories, from a nationally representative sample of Canadian women and men aged 15 and older. The main objective of this article is to use these data to update o...

2010
Geng Cui Wei Lei Yong Fan Shi-yong Wan

Purpose. To investigate the clinical abstractnd radiographic outcome of multi-axial expandable pedicle screws (MEPS) in patients with osteoporosis. Methods. One hundred and twenty-!ve consecutive patients received MEPS from the UPASS spinal !xation system to obtain thorocolumbar or lumbosacral stabilization. All patients underwent bone mineral density (BMD) scans. "e indications for use of the ...

Journal: :Energies 2021

Bayesian inference is used to calibrate a bottom-up home PLC network model with unknown loads and wires at frequencies up 30 MHz. A topology over 50 parameters calibrated using global sensitivity analysis transitional Markov Chain Monte Carlo (TMCMC). The sensitivity-informed computes Sobol indices for each parameter applies TMCMC the most sensitive given topology. greedy random search refine d...

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