Conference Information
ISSAC 2026: International Symposium on Symbolic and Algebraic Computation
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Submission Date: |
2026-01-30 Extended |
Notification Date: |
2026-05-01 |
Conference Date: |
2026-07-13 |
Location: |
Oldenburg, Germany |
Years: |
51 |
CORE: a* Viewed: 28194 Tracked: 2 Attend: 0
Call For Papers
Conference topics
All areas of computer algebra and symbolic computation are of interest at ISSAC 2026. These include, but are not limited to:
Algorithmic aspects:
Exact and symbolic linear, polynomial and differential algebra
Symbolic-numeric, homotopy, perturbation and series methods
Computational algebraic geometry, polynomial and semialgebraic optimization
Computational group theory and number theory, quantifier elimination and logic
Computer arithmetic
Summation, recurrence equations, integration, solution of ODEs & PDEs
Symbolic methods in other areas of pure and applied mathematics
Complexity of algebraic algorithms and algebraic complexity
Software aspects:
Design of symbolic computation packages and systems
Language design and type systems for symbolic computation
Data representation
Considerations for modern hardware
Algorithm implementation and performance tuning
Mathematical user interfaces
Use with systems such as digital libraries, courseware, simulation and optimization, automated theorem-proving, computer-aided design, and automatic differentiation.
Application aspects:
Applications that stretch the current limits of computer algebra algorithms or systems, use computer algebra in new areas or new ways, or apply it in situations with broad impact.
All areas of computer algebra and symbolic computation are of interest at ISSAC 2026. These include, but are not limited to:
Algorithmic aspects:
Exact and symbolic linear, polynomial and differential algebra
Symbolic-numeric, homotopy, perturbation and series methods
Computational algebraic geometry, polynomial and semialgebraic optimization
Computational group theory and number theory, quantifier elimination and logic
Computer arithmetic
Summation, recurrence equations, integration, solution of ODEs & PDEs
Symbolic methods in other areas of pure and applied mathematics
Complexity of algebraic algorithms and algebraic complexity
Software aspects:
Design of symbolic computation packages and systems
Language design and type systems for symbolic computation
Data representation
Considerations for modern hardware
Algorithm implementation and performance tuning
Mathematical user interfaces
Use with systems such as digital libraries, courseware, simulation and optimization, automated theorem-proving, computer-aided design, and automatic differentiation.
Application aspects:
Applications that stretch the current limits of computer algebra algorithms or systems, use computer algebra in new areas or new ways, or apply it in situations with broad impact.
Last updated by Dou Sun in 2026-03-02
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