Advances in Computational Mathematics and Applied Mathematics, 2nd Edition
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 1542
Special Issue Editors
Interests: deep learning; reinforcement learning; multiscale methods (multigrid and wavelet); homotopy method; inverse and Ill-posed problems; parameter reconstruction
Special Issues, Collections and Topics in MDPI journals
Interests: computational finance; iterative methods; computational mathematics; stochastic differential equations
Special Issues, Collections and Topics in MDPI journals
Interests: structure-preserving algorithms for differential equations; numerical methods for stochastic differential equation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is a continuation of our previous Special Issue, entitled “Advances in Computational Mathematics and Applied Mathematics”. Computational mathematics and applied mathematics are two closely related fields, each with its emphasis within the realm of mathematics. In computational mathematics, most research focuses on numerical analysis and scientific calculation methods, including interpolation and approximation, numerical methods for differential equations, numerical integration, matrix computation, and linear equation systems. With the development of large-scale computing and parallel computing technology, computational mathematics has shown stronger capabilities in handling large-scale data and complex problems. In applied mathematics, most research focuses on practical applications in various fields, such as physics, engineering, economics, finance, geophysics, computer science, social sciences, biology, and medicine. Applied mathematics has made significant breakthroughs in optimization algorithms, data mining, and machine learning, providing strong support for the development and application of science and technology.
This Special Issue will provide a platform for researchers to share their latest advances in computational mathematics and applied mathematics, as well as their applications in solving real-world problems. We invite researchers to submit original research articles, reviews, and short communications related to the topics mentioned above. All submissions will undergo a rigorous peer-review process, and accepted papers will be published in this Special Issue of Mathematics.
Dr. Tao Liu
Dr. Fazlollah Soleymani
Dr. Qiang Ma
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- partial differential equations
- ordinary differential equations
- stochastic differential equations
- fractional differential equations
- fractional calculus
- inverse and ill-posed problems
- regularization methods
- numerical methods
- multigrid methods
- wavelet methods
- homotopy methods
- structure-preserving methods
- artificial intelligence
- deep learning
- reinforcement learning
- compact radial basis function approximations
- approximations based on neural networks
- node layouts for irregular domains
- multi-asset option pricing problems
- numerical methods for matrix functions
- iterative methods for the solution of nonlinear equations
- Schulz-type iterative method for generalized matrix inversion
- biostatistics and pattern recognition
- combination counting
- separation theory
- information security
- fractional Fourier transform and its applications
- interdisciplinary application of mathematics and other disciplines
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Related Special Issue
- Advances in Computational Mathematics and Applied Mathematics in Mathematics (16 articles)
