References in zbMATH (referenced in 70 articles , 1 standard article )

Showing results 1 to 20 of 70.
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  1. Ansmann, Gerrit: Efficiently and easily integrating differential equations with JiTCODE, JiTCDDE, and JiTCSDE (2018)
  2. Ben Gripaios, Dave Sutherland: DEFT: A program for operators in EFT (2018) arXiv
  3. Casper, W. Riley: Elementary examples of solutions to Bochner’s problem for matrix differential operators (2018)
  4. Edwin Tye, Tom Finnie, Ian Hall, Steve Leach: PyGOM - A Python Package for Simplifying Modelling with Systems of Ordinary Differential Equations (2018) arXiv
  5. Fasi, Massimiliano; Higham, Nicholas J.: Multiprecision algorithms for computing the matrix logarithm (2018)
  6. Fritzsche, Klemens; Röbenack, Klaus: On hyper-regularity and unimodularity of Ore polynomial matrices (2018)
  7. Fuchs, E.; Jarvis, P. D.; Rudolph, G.; Schmidt, M.: The Hilbert space costratification for the orbit type strata of (\mathrmSU(2))-lattice gauge theory (2018)
  8. Garcia, D.; Ghommem, M.; Collier, N.; Varga, B. O. N.; Calo, V. M.: PyFly: a fast, portable aerodynamics simulator (2018)
  9. Ghirlanda, Stefano: Studying associative learning without solving learning equations (2018)
  10. Gross, B.; Atzberger, P. J.: Spectral numerical exterior calculus methods for differential equations on radial manifolds (2018)
  11. Gubbiotti, Giorgio; Scimiterna, Christian: Reconstructing a lattice equation: a non-autonomous approach to the Hietarinta equation (2018)
  12. Humenberger, Andreas; Jaroschek, Maximilian; Kovács, Laura: Aligator.jl -- a Julia package for loop invariant generation (2018)
  13. Jason K. Moore; Antonie van den Bogert: opty: Software for trajectory optimization and parameter identification using direct collocation (2018) not zbMATH
  14. Manuel Krebber; Henrik Barthels: MatchPy: Pattern Matching in Python (2018) not zbMATH
  15. Schweiger, Jonas: Exploiting structure in non-convex quadratic optimization and gas network planning under uncertainty (2018)
  16. Weitz, Edmund: Concrete mathematics (not only) for computer scientists. With many graphics and algorithms in Python (2018)
  17. Amen, Saeed: Using Python to analyse financial markets (2017)
  18. Bena, Iosif; Blåbäck, Johan; Savelli, Raffaele: T-branes and matrix models (2017)
  19. Björn Dahlgren: pyodesys: Straightforward numerical integration of ODE systems from Python (2017) not zbMATH
  20. Cyrol, Anton K.; Mitter, Mario; Strodthoff, Nils: FormTracer. A Mathematica tracing package using FORM (2017)

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