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Announcement: New title "Advances in Continuous and Discrete Models: Theory and Modern Applications"

Along with the new title, the journal now accepts a broader range of high-quality original research and survey articles covering algorithmic and analytical developments in numerical analysis, differential equations, control, optimization, data driven modelling and scientific computing. Submissions connecting mathematical research to applications such as signal and image processing, mathematical biology and bioengineering, material science, and computer vision will also be considered. 

This title change marks a new exciting chapter for the journal and with the expanded aims and scope we also welcome a new editorial board led by Editors-in-Chief Prof. Harbir Antil (George Mason University, Virginia), Prof. Xue-Cheng Tai (Hong Kong Baptist University, Hong Kong), and Prof. Enrique Zuazua (Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany).

Aims and scope

Computational and applied mathematics along with data science play a vital role in contemporary society by driving innovation. This success can be attributed to revolutionary theoretical and algorithmic developments in machine learning, data driven modeling, differential equations, numerical analysis, scientific computing, control, optimization, and computing resources together with new tools to deal with uncertainty and randomness.

This journal encourages new research in these broad areas. In addition to research on algorithmic and analytical developments, the journal also encourages papers related to (but not limited to) broad applications in Signal and Image Processing, Computer Vision, Materials Science, Mathematical Biology and Bioengineering. As a result, the journal will be an excellent connecting bridge between mathematical research and real world applications. 

The journal accepts high-quality articles containing original research results and survey articles of exceptional merit.

Meet the New Editors-in-Chief

Harbir Antil is Founder and Director at the Center for Mathematics and Artificial Intelligence as well as a Professor in the Department of Mathematical Sciences at George Mason University in Virginia, USA. His research interests include calculus of variations, inverse problems, numerical analysis, scientific computing and software development, and dimensional reduction. 
Recent Publications

Xue-Cheng Tai is a professor at the Department of Mathematics at Hong Kong Baptist University. His research interests include numerical PDEs, optimization techniques, inverse problems, and image processing. 
Recent Publications

Enrique Zuazua is Chair for Dynamics, Control and Numerics in the Department of Data Science at Friedric-Alexander Universität in Germany. his fields of expertise include PDEs, Control Theory, and Numerical Analysis. 
Recent Publications

Click here to view the new editorial board for Advances in Continuous and Discrete Models: Theory and Applications. 

Articles

Articles Collections

Thematic series
Mathematical Models of Infectious Diseases
Advances in Difference Equations
Edited by: Abdon Atangana, Muhammad Altaf Khan, Jose Francisco Gomez Aguila, Dumitru Baleanu, Emile Franc Doungmo Goufo, Abdullahi Yusuf
Collection published: Ongoing

View all collections

Thematic Series in "Advances in Difference Equations"

Fixed Point Theory and Applications to Fractional Ordinary and Partial Difference and Differential Equations
Deadline for submission: 31 August 2021

Difference Equations, Special Functions and Orthogonal Polynomials
Deadline for submission: 31 August 2021

Call for Papers: Expanded scope for Advances in Continuous and Discrete Models

Advances in Continuous and Discrete Models: Theory and Modern Applications now accepts a broader range of high-quality original research and survey articles covering algorithmic and analytical developments in numerical analysis, differential equations, control, optimization, data driven modelling and scientific computing. We are also considering submissions connecting mathematical research to applications such as signal and image processing, mathematical biology and bioengineering, material science, and computer vision.

Annual Journal Metrics