Conference Information

CASC 2026: Computer Algebra in Scientific Computing

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Submission Date:
2026-04-24
Notification Date:
2026-05-29
Conference Date:
2026-08-31
Location:
Bath, UK
ICORE: B   Viewed: 866   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

51.3 / 100
Ranked #1,314 of 5,684 conferences · Top 24%

#142 of 341 in Systems & Architecture

Academic recognition (35%)
72
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%) No data - scored at the neutral baseline of 50
Community attention (10%)
8
Public record completeness (15%)
35

Inputs used: Listed as ICORE B · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 60% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-23

Call For Papers

CASC 2026 (Computer Algebra in Scientific Computing) is a ICORE B conference held in Bath, UK on 2026-08-31. The paper submission deadline is 2026-04-24. Acceptance notifications are sent on 2026-05-29.

The tools of Scientific Computing play an important role in the natural sciences and engineering. Computer Algebra Systems and the underlying algorithms for Symbolic Computation play an increasingly important role within Scientific Computation. The CASC workshop series has been running for over two decades to explore the interaction of these topics, their implementation, and their application. Scope The topics addressed in the workshop cover 1. The theory of symbolic computation and its implementation in computer algebra systems. This includes, but is not limited to: new methods on exact computation; symbolic algorithms and their complexity; automated reasoning in algebra and geometry; parallel symbolic / symbolic-numeric computation; symbolic / symbolic-numeric methods for differential, differential-algebraic and difference equations; symbolic / symbolic-numeric methods for polynomial equations and inequalities; the embedding of computer algebra technology within different software and hardware environments; 2. All other areas of scientific computing in regards to their benefit from or use of computer algebra methods and software. This includes, but is not limited to: the use of computer algebra in approximate computation; computer algebra methods in big data analytics; computer algebra methods for simulation and modeling; 3. Applications of the above throughout the natural sciences and engineering. We welcome papers on both fundamental research and implementation issues. We also accept survey papers but these MUST BE CLEARLY LABELLED as such in the title.
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