Symbolic-numeric computation

In mathematics and computer science, symbolic-numeric computation is the use of software that combines symbolic and numeric methods to solve problems.

Background


Computational Algebraic Geometry


gollark: Well, then you can have a script interface the build systems together.
gollark: You can actually create, manage and build Rust projects with simple tooling which works easily and without horrible issues, and (almost?) every library uses the same stuff so you can interoperate trivially.
gollark: While strictly speaking you can use Rust and even `rustc` without `cargo`, having it as a first-class thing is EXTREMELY NICE.
gollark: "hmm yes I will have a program generate a shell script which generates a makefile or something" - INSANE PEOPLE
gollark: I honestly *do not understand* why people thought they were better ways to do things than *nice* tools like, say, `cargo`.

References
  • Wang, Dongming; Zhi, Lihong (2007). Symbolic-numeric Computation. Springer. ISBN 978-3-7643-7983-4.
  • Mourrain, Bernard; Pavone, Jean-Pascal; Trebuchet, Philippe; Tsigaridas, Elias P.; Wintz, Julien (2008). "SYNAPS: A Library for Dedicated Applications in Symbolic Numeric Computing". Software for Algebraic Geometry. The IMA Volumes in Mathematics and its Applications. 148. pp. 81–109. CiteSeerX 10.1.1.135.1680. doi:10.1007/978-0-387-78133-4_6. ISBN 978-0-387-78132-7.
  • Grabmeier, Johannes; Kaltofen, Erich; Weispfenning, Volker, eds. (2003). "Hybrid methods" (PDF). Computer algebra handbook: foundations, applications, systems, Volume 1. Springer. ISBN 978-3-540-65466-7.
  • Robbiano, Lorenzo; Abbott, John (2009). Approximate Commutative Algebra. Springer. ISBN 978-3-211-99313-2.
  • Langer, Ulrich; Paule, Peter, eds. (2011). Numerical and Symbolic Scientific Computing. Springer. ISBN 978-3-7091-0793-5.

Professional organizations


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