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Nonlinear potential theory and elliptic regularity theory are two classical topics in the modern analysis of partial differential equations. In this talk I show how these themes merge to solve the lon...
这是一个大数据与人工智能的时代,催生了各种各样大规模商务新场景。新场景常常呈现出:大规模、大数据、大模型的特点。这些特点对统计学的理论与计算方法都提出了新挑战,也提供了新机遇。对此,我将通过三个具体的真实案例分享,希望从中能够总结典型的统计学科学问题,洞察未来可能的研究机遇。这三个案例分别来自:金融科技、视频直播、和智慧零售三个不同商务场景。其中科技金融案例将展示如何通过二维码聚合支付数据助力面向...
Structure-preserving numerical methods are crucial for achieving long-time accurate, stable, consistent and physically meaningful simulations. In this talk, we present H^1 and H(div) conforming spectr...
贾震宇教授,本科就读于武汉大学生命科学学院生物化学专业。2006年于加州大学河滨分校同时取得统计学硕士和遗传-基因组-生物信息联合学科博士。先后就职于加州大学尔湾分校病理系、阿克伦大学统计系和俄亥俄西北医科大学医学系,从事包括前列腺癌在内的多种疾病的研究以及在生物统计和生物信息学科的教学工作。现受聘为加州大学河滨分校植物科学系数量遗传学教授。贾老师目前的研究工作包括基因组选择方法在作物育种和癌症预...
Nonlinear dynamics play a prominent role in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear equations have been severely limited due to t...
Solving multi-scale PDEs is difficult in high-dimensional and/or convection-dominant cases. The interacting particle methods (IPM) are shown to outperform solving PDEs directly. Examples include compu...
A dispersive decay estimate is proven for the linear propagator of the three-scale rotating stratified Boussinesq equations in the stratification-dominant regime. Because the phase function of that pr...
A dispersive decay estimate is proven for the linear propagator of the three-scale rotating stratified Boussinesq equations in the stratification-dominant regime. Because the phase function of that pr...
As the device size shrinks to nanosize scale, the quantum mechanical effect and atomic level fluctuations become important. The traditional TCAD based on continuous medium model will no longer work. T...
Tourism managers and practitioners rely on accurate demand forecasting and well-informed management guidance. Given the pandemic's consequences on tourism, future analysis in the during-epidemic era i...
The program opens with four days of tutorials that will provide an introduction to major themes of the entire program and the four workshops. The goal is to build a foundation for the participants of...
Increasingly large data sets are being ingested and produced by simulations. What experience from large-scale simulation is transferable to big data applications? Conversely, what new optimal algorith...
International Conference 《Management of large-scale system development》(MLSD) is cross-disciplinary forum of academicians, researchers, teachers and practicians.Since 2007 Conference is held annuall...
International Conference «Management of large-scale system development»(MLSD) is cross-disciplinary forum of academicians, researchers, teachers and practicians. Since 2007 Conferen...
The workshop will mark the last of the ImageNet Challenge competitions, and focus on unanswered questions and directions for the future. The workshop will 1) present current results on the challenge c...

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