SIAM Journal on Scientific Computing

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SIAM Journal on Scientific Computing |Subject |Discipline}}| Scientific computation

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Language| English
Edited by| Hans De Sterck
Publication details

Former name(s)

| SIAM Journal on Scientific & Statistical Computing
History| 1980 to present
Publisher|

Society for Industrial and Applied Mathematics

Frequency| Bimonthly

Open access

| no
Standard abbreviations
ISO 4 (alt) * Bluebook (alt1 * alt2)
NLM (alt) * MathSciNet (alt )
ISO 4| SIAM J. Sci. Comput.
Indexing
CODEN * JSTOR (alt) * LCCN (alt)
MIAR * NLM (alt) * Scopus
CODEN| SJOCE3
ISSN| 1064-8275 (print)
1095-7197 (web)

Links
* Journal homepage
* Online access

The SIAM Journal on Scientific Computing (SISC), formerly SIAM Journal on Scientific & Statistical Computing,[1] is a scientific journal focusing on the research articles on numerical methods and techniques for scientific computation.[2] It is published by the Society for Industrial and Applied Mathematics (SIAM). Hans De Sterck is the current editor-in-chief, assuming the role in January 2022.[3] The impact factor is currently around 2.

This journal papers address computational issues relevant to solution of scientific or engineering problems and include computational results demonstrating the effectiveness of proposed techniques. They are classified into three categories: 1) Methods and Algorithms for Scientific Computing. 2) Computational Methods in Science and Engineering. 3) Software and High-Performance Computing. The first type papers focus on theoretical analysis, provided that relevance to applications in science and engineering is demonstrated. They are supposed to contain meaningful computational results and theoretical results or strong heuristics supporting the performance of new algorithms. The second type papers pay much attention to describing novel methodologies for solving a specific problem in computational science or engineering. The information about the application to orient other computational scientists is necessary. The third type papers more concern about novel design and development of computational methods and high-quality software, parallel algorithms, high-performance computing issues, new architectures, data analysis or visualization. However, the primary focus should be on computational methods that have huge impact on scientific or engineering problems.

The modern numerical analysis can be dated back to 1947 when John von Neumann and Herman Goldstine wrote a pioneering paper, “Numerical Inverting of Matrices of High Order” (Bulletin of the AMS, Nov. 1947). This paper commonly is considered one of the first papers to study rounding error and include discussion of what is called scientific computing nowadays. Although, from math history, numerical analysis has a longer and richer history, “modern” numerical analysis is defined by the mix of the programmable electronic computer, mathematical analysis, and the opportunity and need to solve large and complex problems in life applications. The need, such as, ballistics prediction, neutron transport, and nonsteady, multidimensional fluid dynamics pushed the development of computer and depended strongly on developments in numerical analysis and mathematical modeling.

## References

1. ↑ "LOCUS – SIAM's Online Journal Archive 1953 to 1996". http://locus.siam.org/. Retrieved 2009-08-31.
2. ↑ "Top journals in computer science". Times Higher Education. 2009-05-14. http://www.timeshighereducation.co.uk/story.asp?sectioncode=26&storycode=406557. Retrieved 2009-08-29.
3. ↑ "SIAM Journal on Scientific Computing (SISC)". Society for Industrial and Applied Mathematics. http://www.siam.org/journals/sisc/board.php. Retrieved 2023-06-09.

## External links

* SIAM Journal on Scientific Computing

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