本期编辑：
乔中华
香港理工大学应用数学系
zqiao@polyu.edu.hk
周知
香港理工大学应用数学系
zhizhou@polyu.edu.hk
内容提要：
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来源：中国工业与应用数学协会网站
2020年9月6日， “未来科学大奖”获奖名单在北京揭晓。中国工业与应用数学学会第五、六届理事会
副理事长，顾问委员会委员彭实戈院士因其在倒向随机微分方程理论，非线性Feynman-Kac公式和非
线性数学期望理论中的开创性贡献，荣膺“数学与计算机科学奖”。
彭实戈院士和Pardoux合作于1990年发表的文章被认为是倒向随机微分方程理论（BSDE）的奠基性
工作。这项工作开创了一个重要的研究领域，其中既有深刻的数学理论，又有在数学金融中的重要应用。
彭实戈院士在这个领域一直持续工作，做出了一系列重要贡献。
彭实戈院士于1992年创建了非线性Feynman-Kac公式，从而对一大类二阶非线性微分方程给出了
BSDE表示。
彭实戈院士发展了非线性数学期望的理论，这与传统的线性数学期望有本质上的不同，但相似的数学理
论仍能够建立。这对风险的定义和定量有重大应用。
未来科学大奖是中国首个世界级民间科学大奖，由未来论坛于2016年创立，下设生命科学奖、物质科
学奖、数学与计算机科学奖三个奖项，单项奖金为一百万美元（人民币约700万元）。强调奖励在大中
华地区完成、产生巨大国际影响、具有原创性、长期重要性或经过了时间考验的科研工作，不论其国籍、
性别和年龄，旨在推动突破性基础科学研究，表彰优秀科学家，吸引全球科技人才，促进科学事业发展。
2016年至今，未来科学大奖共评选出20位获奖者，获得了科学和社会领域的广泛认可。
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来源：中国数学会网站
中国数学会2020年学术年会将于2020年10月16—19日（16日报到，19日离会）在河北省石家庄市举
行，此次年会由河北师范大学承办。这是中国数学工作者一年一次的学术盛会，会上将邀请3位华人数学
家做大会报告，邀请百余位数学家在代数与数论、几何与拓扑、常微动力系统、偏微分方程、实分析和
复分析、计算数学、概率和统计、运筹与控制、组合与计算机数学、数学教育等10个领域做分组报告，
还将邀请部分院士在石家庄地区大中院校做科普报告。
会议期间还将召开中国数学会党委扩大会议，正副理事长、秘书长会议，常务理事会会议、理事会会议
以及监事会会议。
受疫情影响，2020年8月27日常务理事会议定本次年会在线下举行。鉴于时间紧张，敬请各位会议代
表尽快完成网上注册、住宿选择并缴纳注册费。9月30日之后注册代表所选的宾馆不能完全保障，请大
家提早注册。
欢迎数学界同仁参加大会。
更多信息参见会议网站：http://app.hebtu.edu.cn/cms2020/index.html
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【会议信息】非线性椭圆与抛物型方程及其应用网络会议，2020年10月
来源：国家天元数学中部中心网站
我国在非线性椭圆和抛物型偏微分方程研究领域已经形成了众多的非常活跃的研究队伍，相互之间
也有很多交流与互动，并取得了一系列突出成果。由于新冠疫情的影响，大量学术会议被迫取消或
者推迟，给正常学术交流带来了很大阻碍。为了加强该领域内的学术交流、交流最新的研究进展，
从而促进非线性椭圆和抛物型偏微分方程的进一步发展，武汉大学数学与统计学院、数学协同创新
中心及国家天元中部数学中心决定于2020年10月7日至9日举办“非线性椭圆和抛物型方程及其应
用”网络在线学术会议。
腾讯会议信息：
10月8日：https://meeting.tencent.com/s/gO1SHMmwyKs9
腾讯会议ID：430 292 537
10月9日：https://meeting.tencent.com/s/gO1SHMmwyKs9
腾讯会议ID：772 587 580
更多信息请参见：http://tmcc.whu.edu.cn/zxhd/zthyxq.htm?aid=30
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【会议信息】Domain Decomposition Methods, ONLINE, Dec 2020
发件人：Felix Kwok <felixk80@gmail.com>
The 26th International Conference on Domain Decomposition Methods
(DD26), organized by the Chinese University of Hong Kong (CUHK), will
now take place ONLINE from December 7 to 12, 2020. To take into
account the various geographical locations of our participants,
plenary talks are scheduled at a time that is reasonable for most time
zones, and parallel sessions are scheduled twice a day in such a way
that participants can attend at least one out of two sessions
comfortably. Also, talks will be recorded for later viewing by other
participants (subject to consent from individual speakers). The full
schedule can be found on the conference website at the link below.
Registration is now open. The registration fees are HKD800 (about USD
100) for regular participants, and HKD400 (about USD 50) for students.
The deadline for registration is October 31, 2020. Participants who
have previously registered and kept their fees for 2020 are
automatically registered, and they will be contacted for refund
arrangements.
We have reopened the call for minisymposia and contributed talks.
Proposals should be in the form of a plain text e-mail to
dd26@math.cuhk.edu.hk. For minisymposia, please provide a title, a
short description of the subject matter, and a list of speakers for
the minisymposium. For contributed talks, please provide a title an
abstract. The deadline for submitting proposals is October 15, 2020
(extended deadline). Previously accepted minisymposia and contributed
talks are automatically accepted for this round.
Thanks to the generous support of the Hong Kong Peihua Education
Foundation, we are now accepting applications for financial support,
including registration fee, from graduate students, postdocs and
junior faculty based in Mainland China. To be considered for funding,
please email a cover letter, including a statement about why you want
to participate, along with a CV to dd26@math.cuhk.edu.hk. Deadline for
submissions: September 30, 2020.
For more information about DD26, please see the conference website at
https://www.math.cuhk.edu.hk/conference/dd26/?Conference-Home
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发件人: Natesan Srinivasan <natesan@iitg.ac.in>
Department of Mathematics, Indian Institute of Technology Guwahati is
organizing an International Conference on Advances in Differential Equations
and Numerical Analysis (ADENA 2020) during October 12-14, 2020 in online
mode. This international conference focuses on various aspects of differential
equations, numerical analysis, applied mathematics, mathematical physics
and mathematical modelling & simulation. It aims, in particular, at
fostering cooperation between researchers working on the area theoretical
and numerical aspects of differential equations and applications to various
other fields of science and engineering. Another goal of the ADENA2020 is
to strengthen the existing contacts and to establish new ones between
scientists from all over the world. The working language of the conference is English.
All relevant information and updates can be found at
https://www.iitg.ac.in/maths/ext/adena2020/
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【报告信息】CAS AMSS-PolyU Joint Lab Online Distinguished Lecture
发件人: Defeng Sun <defeng.sun@polyu.edu.hk>
We cordially invite you to join CAS AMSS-PolyU Joint Laboratory of Applied Mathematics
Online Distinguished Lectures:
1. The Anatomy of the World’s Fastest Linear Equation Solver
Speaker: Prof. Nicholas J. Higham, University of Manchester, The United Kingdom
Date: 25 September 2020 (Friday)
Time: 4pm – 5pm
Venue: Online via Zoom
Registration link: https://polyu.zoom.us/meeting/register/tJAsce6grTIuHNUaaAstr7Q4fIOCuAbFZLW8
For more details please visit:
https://www.polyu.edu.hk/ama/files/CAS_AMSS_JLab_DL_by_Prof_Nicolas_Higham_poster_L01-03.jpg
2. Distributionally Robust Stochastic Programming
Speaker: Prof. Alexander Shapiro, Georgia Institute of Technology, USA.
Date: 6 October 2020 (Tuesday)
Time: 10am – 11am
Venue: Online via Zoom
Registration link: https://polyu.zoom.us/meeting/register/tJAvc-mqrz8rGdD4DdYFtWL67vfDX3chmyKO
For more details please visit:
https://www.polyu.edu.hk/ama/files/Online_JLab_DL_by_Prof_Alexander_Shapiro_e_poster_L02.jpg
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【招聘信息】Postdoc Position, Scientific Machine Learning, EPFL, CH
发件人：Jan S Hesthaven <jan.hesthaven@epfl.ch>
We are looking for a postdoctoral computational scientist/applied
mathematician to join the Chair of Computational Mathematics and
Simulation Science, lead by Prof Jan S Hesthaven, to work in the area
of scientific machine learning.
Current activities focus on the development of collaborative modes of
interaction between modern computational methods and recent machine
learning techniques, in particular based on neural networks. Such
developments seek to overcome known algorithmic bottlenecks or enable
entirely new ways of solving problems of relevance to science and
engineering. The postdoctoral fellow is expected to engage in
different projects in line with the above vision.
The ideal candidate will have the following skills: A PhD in
mathematics, mechanical engineering or related topics; Experience with
model order reduction techniques; Experience with modern computational
methods for solving PDEs; Good programming skills.
The effort is of a collaborative nature so strong interpersonal and
communication skills are required. Working language is English. There
will be some teaching responsibilities at EPFL as part of the
position.
We offer a 1 year contract with the possibility of an extension, a
dynamic and inspiring working environment, and a competitive salary. A
start date of January 1, 2021 is preferred but this is negotiable.
To express your interest, please send a letter of motivation, a
resume, and at least 2 names of references to mcss@epfl.ch. Evaluation
of applications will begin late September and continue until the
position is filled.
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【期刊信息】East Asian Journal on Applied Mathematics, Volume 10, Number 3
URL: http://www.global-sci.org/eajam.html
An Alternative Finite Difference Stability Analysis for a Multi-term Time-Fractional
Initial-Boundary Value Problem
Xiaohui Liu & Martin Stynes
A New Compact Scheme in Exponential Form for Two-Dimensional Time-Dependent Burgers'
and Navier-Stokes Equations
R.K. Mohanty, Li Yuan & Divya Sharma
A Hybridisable Discontinuous Galerkin Method for Time-Dependent Convection-Diffusion-Reaction
Equations
Wei Pi, Yihui Han & Shiquan Zhang
Novel Interaction Phenomena of Localised Waves in the (2 + 1)-Dimensional HSI Equation
Hong-Cai Ma, Han-Fang Wu & Ai-Ping Deng
Pricing American Options under Regime-Switching Model with a Crank-Nicolson
Fitted Finite Volume Method
Xiaoting Gan & Junfeng Yin
Extrapolation Accelerated PRESB Method for Solving a Class of Block
Two-By-Two Linear Systems
Li-Dan Liao, Guo-Feng Zhang & Xiang Wang
A Novel Spectral Method for Burgers Equation on The Real Line
Yujian Jiao
Cross-Kink Wave Solutions and Semi-Inverse Variational Method for
(3+1)-Dimensional Potential-YTSF Equation
Jalil Manafian, Onur Alp Ílhan, Karmina K. Ali & Sizar Abid Mohammed
An Explicit Second Order Scheme for Decoupled Anticipated Forward Backward
Stochastic Differential Equations
Yabing Sun & Weidong Zhao
Variance Swap Pricing under Hybrid Jump Model
S. Liu, B. Wiwatanapataphee, Y.H. Wu & Y. Yang
An Efficient Newton Multiscale Multigrid Method for 2D Semilinear Poisson Equations
Ming Li, Zhoushun Zheng, Kejia Pan & Xiaoqiang Yue
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【期刊信息】East Asian Journal on Applied Mathematics, Volume 10, Number 4
URL: http://www.global-sci.org/eajam.html
A Stochastic Gradient Descent Approach for Stochastic Optimal Control
Richard Archibald, Feng Bao & Jiongmin Yong
Numerical Analysis and Simulation of a Frictional Contact Problem with
Wear, Damage and Long Memory
Hailing Xuan & Xiaoliang Cheng
Block Updating/Downdating Algorithms for Regularised Least Squares Problems
and Applications to Linear Discriminant Analysis
Wei Wei, Hua Dai & Weitai Liang
ADMM-Based Methods for Nearness Skew-Symmetric and Symmetric Solutions
of Matrix Equation AXB=C
Dongmei Yu, Cairong Chen & Deren Han
Riemann-Hilbert Approach and N-Soliton Solutions For Three-Component
Coupled Hirota Equations
Xin Wu, Shou-Fu Tian & Jin-Jie Yang
Symbolic Computation of Lump Solutions to a Combined Equation Involving
Three Types of Nonlinear Terms
Wen-Xiu Ma, Yi Zhang & Yaning Tang
Artificial Boundary Method for European Pricing Option Problem
Hongshan Li & Zhongyi Huang
Convergence of Finite Difference Method in Positive Time for Multi-Term
Time Fractional Differential Equations
Haili Qiao & Aijie Cheng
A Non-Consistent Virtual Element Method for Reaction Diffusion Equations
Fang Feng, Jianguo Huang & Yue Yu
Two-Grid Finite Element Methods of Crank-Nicolson Galerkin Approximation
for a Nonlinear Parabolic Equation
Zhijun Tan, Kang Li & Yanping Chen
A Local Discontinuous Galerkin Method for Time-Fractional Burgers Equations
Wenping Yuan, Yanping Chen & Yunqing Huang
Evolutionary Systems Representations Based on Later Time Samples and
Applications to PDEs
Yeon Hyang Kim & Roza Aceska
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End of CAM Digest
本期到此结束
