C-XSC 2.0

A C++ class library for extended scientific computing. The original version of the C-XSC library is about ten years old. But in the last decade the underlying programming language C++ has been developed significantly. Since November 1998 the C++ standard is available and more and more compilers support (most of) the features of this standard. The new version C-XSC 2.0 conforms to this standard. Application programs written for older C-XSC versions have to be modified to run with C-XSC 2.0. Several examples will help the user to see which changes have to be done. Note, that all sample codes given in [R. Klatte et al., C-XSC. A C++ class library for extended scientific computing. Berlin: Springer-Verlag (1993; Zbl 0814.68035)] have to be modified to work properly with C-XSC 2.0. Sample codes are available on the web page http://www.math.uni-wuppertal.de/ xsc/cxsc/examples.

References in zbMATH (referenced in 123 articles , 1 standard article )

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  1. Bajaj, Ishan; Hasan, M. M. Faruque: Global dynamic optimization using edge-concave underestimator (2020)
  2. Castro, Angel; Córdoba, Diego; Gómez-Serrano, Javier: Global smooth solutions for the inviscid SQG equation (2020)
  3. Hoshi, Takeo; Ogita, Takeshi; Ozaki, Katsuhisa; Terao, Takeshi: An a posteriori verification method for generalized real-symmetric eigenvalue problems in large-scale electronic state calculations (2020)
  4. Gómez-Serrano, Javier: Computer-assisted proofs in PDE: a survey (2019)
  5. Kulisch, Ulrich: Mathematics and speed for interval arithmetic. a complement to IEEE 1788 (2019)
  6. Nepomuceno, Erivelton G.; Peixoto, Márcia L. C.; Martins, Samir A. M.; Rodrigues, Heitor M. Junior; Perc, Matjaž: Inconsistencies in numerical simulations of dynamical systems using interval arithmetic (2018)
  7. Pacella, Filomena; Plum, Michael; Rütters, Dagmar: A computer-assisted existence proof for Emden’s equation on an unbounded (L)-shaped domain (2017)
  8. Sainudiin, Raazesh; Welch, David: The transmission process: a combinatorial stochastic process for the evolution of transmission trees over networks (2016)
  9. Walter F. Mascarenhas: Moore: Interval Arithmetic in Modern C++ (2016) arXiv
  10. Kolberg, Mariana; Bohlender, Gerd; Fernandes, Luiz Gustavo: An efficient approach to solve very large dense linear systems with verified computing on clusters. (2015)
  11. Castro, Angel; Córdoba, Diego; Gómez-Serrano, Javier; Zamora, Alberto Martín: Remarks on geometric properties of SQG sharp fronts and (\alpha)-patches (2014)
  12. Frommer, Andreas; Hashemi, Behnam; Sablik, Thomas: Computing enclosures for the inverse square root and the sign function of a matrix (2014)
  13. Hölbig, Carlos A.; Do Carmo, Andriele; Arendt, Luis P.: High accuracy and interval arithmetic on multicore processors (2013)
  14. Kiel, Stefan; Luther, Wolfram; Dyllong, Eva: Verified distance computation between non-convex superquadrics using hierarchical space decomposition structures (2013) ioport
  15. Krämer, Walter: High performance verified computing using C-XSC (2013)
  16. Zimmer, Michael; Rebner, Gabor; Krämer, Walter: An overview of C-XSC as a tool for interval arithmetic and its application in computing verified uncertain probabilistic models under Dempster-Shafer theory (2013) ioport
  17. Dyllong, Eva; Kiel, Stefan: A comparison of verified distance computation between implicit objects using different arithmetics for range enclosure (2012)
  18. Frommer, Andreas; Hashemi, Behnam: Verified error bounds for solutions of Sylvester matrix equations (2012)
  19. Kiel, Stefan: Verified spatial subdivision of implicit objects using implicit linear interval estimations (2012)
  20. Krämer, Walter: Multiple/arbitrary precision interval computations in C-XSC (2012)

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