International Conference on Computational Science and Numerical Algorithms (CSMA 2021)

Conference Date: May 29-31, 2021

Conference Venue: Guilin, China

Website: https://www.maymeeting.org/conference/CSMA2021/

Online Registration:

https://www.maymeeting.org/RegistrationSubmission/default.aspx?ConferenceID=1347

Email Registration: [email protected]

International Conference on Computational Science and Numerical Algorithms (CSMA 2021) will be held from May 29-31, 2021 in Guilin, China. CSMA 2021 will cover issues on Applications of computational science, Problem solving environments, Complex systems: modeling and simulation, Web and grid based simulation and computing, Linear and nonlinear programming, Advanced computing architectures and new programming models, Computational humanities, etc. It dedicates to creating a stage for exchanging the latest research results and sharing the advanced research methods.

If you wish to serve the conference as an invited speaker, please send email to us with your CV. We'll contact with you asap.

Publication and Presentation

Publication: All the accepted papers will be published by a peer-reviewed open access journal that can ensure the widest dissemination of your published work, for more information, please contact us ([email protected])
Index: CNKI and Google Scholar
Note: If you want to present your research results but do NOT wish to publish a paper, you may simply submit an Abstract to our Registration System.

Contact Us

Email: [email protected] ([email protected])
Tel: +86 13264702250
QQ: 1349406763 
WeChat: 3025797047
Twitter: conf_Committee

Attendance Methods

1. Submit full paper (Regular Attendance+Paper Publication+Presentation)
You are welcome to submit full paper, all the accepted papers will be published by Open access journal.
2. Submit abstract (Regular Attendance+Abstract+Presentation)
3. Regular Attendance (No Submission Required)

Conference Topics

 Applications of computational science

Problem solving environments

Advanced numerical algorithms

Complex systems: modeling and simulation

Hybrid computational methods

Web and grid based simulation and computing

Parallel and distributed computing

Linear and nonlinear programming

Systems of nonlinear equations

Advanced computing architectures and new programming models

Visualization and virtual reality as applied to computational science

Applications of computation as a scientific paradigm

New algorithmic approaches to computational kernels and applications

Computational humanities

Probabilistic computation

Computational complexity, economics, geometry

Education in computational science

Computational methods, algorithms and scientific application

Large scale scientific instruments

Computational sociology

Computational geometry

Computational mathematics

Medical and biomedical computational science