Manuscript Topics

In recent years, computational mathematics in science and engineering are rapidly growing multidisciplinary areas with connections to business, economics, engineering, mathematics and computer science through academia as well as industry to understand and solve complex problems. Especially, computational science fuses three different elements:

• Firstly, Algorithms (both numerical and non-numerical) and modeling and simulation software which developed to solve science (e.g., biological, physical, and social), engineering, and humanities problems
• Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components needed to solve computationally demanding problems
• The computing infrastructure that supports both the science and engineering problem solving and the developmental computer and information science

Practically, the application of computer simulation and other forms of computation from numerical analysis and theoretical computer science to solve problems in various scientific disciplines. The scientific computing approach is to gain understanding, mainly through the analysis of mathematical models implemented on computers. Scientists and engineers develop computer programs, application software that model systems being studied and run these programs with various sets of input parameters. In some cases, these models require massive amounts of calculations (usually floating-point) and are often executed on supercomputers or distributed computing platforms. Numerical analysis is an important underpinning for techniques used in computational science.
Potential topics include, but are not limited to:

Instruction for Authors
http://www.aimspress.com/math/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
http://oeps.aimspress.com/aimsmath/ch/author/login.aspx