References in zbMATH (referenced in 71 articles , 1 standard article )

Showing results 1 to 20 of 71.
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  1. Linge, Svein; Langtangen, Hans Petter: Programming for computations -- Python. A gentle introduction to numerical simulations with Python 3.6 (2019)
  2. Ansmann, Gerrit: Efficiently and easily integrating differential equations with JiTCODE, JiTCDDE, and JiTCSDE (2018)
  3. Ben Gripaios, Dave Sutherland: DEFT: A program for operators in EFT (2018) arXiv
  4. Casper, W. Riley: Elementary examples of solutions to Bochner’s problem for matrix differential operators (2018)
  5. Edwin Tye, Tom Finnie, Ian Hall, Steve Leach: PyGOM - A Python Package for Simplifying Modelling with Systems of Ordinary Differential Equations (2018) arXiv
  6. Fasi, Massimiliano; Higham, Nicholas J.: Multiprecision algorithms for computing the matrix logarithm (2018)
  7. Fritzsche, Klemens; Röbenack, Klaus: On hyper-regularity and unimodularity of Ore polynomial matrices (2018)
  8. 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)
  9. Garcia, D.; Ghommem, M.; Collier, N.; Varga, B. O. N.; Calo, V. M.: PyFly: a fast, portable aerodynamics simulator (2018)
  10. Ghirlanda, Stefano: Studying associative learning without solving learning equations (2018)
  11. Gross, B.; Atzberger, P. J.: Spectral numerical exterior calculus methods for differential equations on radial manifolds (2018)
  12. Gubbiotti, Giorgio; Scimiterna, Christian: Reconstructing a lattice equation: a non-autonomous approach to the Hietarinta equation (2018)
  13. Humenberger, Andreas; Jaroschek, Maximilian; Kovács, Laura: Aligator.jl -- a Julia package for loop invariant generation (2018)
  14. Jason K. Moore; Antonie van den Bogert: opty: Software for trajectory optimization and parameter identification using direct collocation (2018) not zbMATH
  15. Manuel Krebber; Henrik Barthels: MatchPy: Pattern Matching in Python (2018) not zbMATH
  16. Schweiger, Jonas: Exploiting structure in non-convex quadratic optimization and gas network planning under uncertainty (2018)
  17. Weitz, Edmund: Concrete mathematics (not only) for computer scientists. With many graphics and algorithms in Python (2018)
  18. Amen, Saeed: Using Python to analyse financial markets (2017)
  19. Bena, Iosif; Blåbäck, Johan; Savelli, Raffaele: T-branes and matrix models (2017)
  20. Björn Dahlgren: pyodesys: Straightforward numerical integration of ODE systems from Python (2017) not zbMATH

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