Weighted compound integration rules with higher order convergence for all N
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s11075-011-9482-5.pdf
Reference30 articles.
1. National Bureau of Standards Applied Mathematics Series,1964
2. Baldeaux, J., Dick, J., Leobacher, G., Nuyens, D., Pillichshammer, F.: Efficient calculation of the worst-case error and (fast) component-by-component construction of higher order polynomial lattice rules. (2011, submitted)
3. Boyle, P.P., Lai, T., Tan, K.S.: Pricing options using lattice rules. N. Amer. Actuarial J. 9(3), 50–76 (2005)
4. Cools, R., Kuo, F.Y., Nuyens, D.: Constructing embedded lattice rules for multivariate integration. SIAM J. Sci. Comput. 28(6), 2162–2188 (2006)
5. Dick, J.: On the convergence rate of the component-by-component construction of good lattice rules. J. Complex. 20(4), 493–522 (2004)
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Quasi-Monte Carlo Algorithms (Not Only) for Graphics Software;Springer Proceedings in Mathematics & Statistics;2024
2. Scaled lattice rules for integration on ℝ^{} achieving higher-order convergence with error analysis in terms of orthogonal projections onto periodic spaces;Mathematics of Computation;2022-08-12
3. Lessons Learned and Improvements when Building Screen-Space Samplers with Blue-Noise Error Distribution;ACM SIGGRAPH 2021 Talks;2021-07-31
4. MDFEM: Multivariate decomposition finite element method for elliptic PDEs with uniform random diffusion coefficients using higher-order QMC and FEM;Numerische Mathematik;2021-07
5. Quasi-Monte Carlo based uncertainty analysis: Sampling efficiency and error estimation in engineering applications;Reliability Engineering & System Safety;2019-11
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3