MPFR

The MPFR library is a C library for multiple-precision floating-point computations with correct rounding. MPFR has continuously been supported by the INRIA and the current main authors come from the Caramel and AriC project-teams at Loria (Nancy, France) and LIP (Lyon, France) respectively; see more on the credit page. MPFR is based on the GMP multiple-precision library. The main goal of MPFR is to provide a library for multiple-precision floating-point computation which is both efficient and has a well-defined semantics. It copies the good ideas from the ANSI/IEEE-754 standard for double-precision floating-point arithmetic (53-bit significand). MPFR is free. It is distributed under the GNU Lesser General Public License (GNU Lesser GPL), version 3 or later (2.1 or later for MPFR versions until 2.4.x). The library has been registered in France by the Agence de Protection des Programmes under the number IDDN FR 001 120020 00 R P 2000 000 10800, on 15 March 2000. This license guarantees your freedom to share and change MPFR, to make sure MPFR is free for all its users. Unlike the ordinary General Public License, the Lesser GPL enables developers of non-free programs to use MPFR in their programs. If you have written a new function for MPFR or improved an existing one, please share your work!


References in zbMATH (referenced in 145 articles , 1 standard article )

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  1. Arioli, Gianni; Koch, Hans: Spectral stability for the wave equation with periodic forcing (2018)
  2. Baldi, Pietro; Haus, Emanuele; Mantegazza, Carlo: Non-existence of \ittheta-shaped self-similarly shrinking networks moving by curvature (2018)
  3. Bertot, Yves; Rideau, Laurence; Théry, Laurent: Distant decimals of $\pi $: formal proofs of some algorithms computing them and guarantees of exact computation (2018)
  4. Bhalla, S.; Kumar, S.; Argyros, I. K.; Behl, Ramandeep; Motsa, S. S.: Higher-order modification of Steffensen’s method for solving system of nonlinear equations (2018)
  5. Chan, Yao-ban; Rechnitzer, Andrew: Upper bounds on the growth rates of independent sets in two dimensions via corner transfer matrices (2018)
  6. Fasi, Massimiliano; Higham, Nicholas J.: Multiprecision algorithms for computing the matrix logarithm (2018)
  7. Muller, Jean-Michel; Brunie, Nicolas; de Dinechin, Florent; Jeannerod, Claude-Pierre; Joldes, Mioara; Lefèvre, Vincent; Melquiond, Guillaume; Revol, Nathalie; Torres, Serge: Handbook of floating-point arithmetic (2018)
  8. Beebe, Nelson H. F.: The mathematical-function computation handbook. Programming using the MathCW portable software library (2017)
  9. Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B.: Julia: a fresh approach to numerical computing (2017)
  10. Bobylev, Alexander; Gamba, Irene M.; Zhang, Chenglong: On the rate of relaxation for the Landau kinetic equation and related models (2017)
  11. Chen, Hongbin; Hussong, Charles; Kaplan, Jared; Li, Daliang: A numerical approach to Virasoro blocks and the information paradox (2017)
  12. Claus Fieker, William Hart, Tommy Hofmann, Fredrik Johansson: Nemo/Hecke: Computer Algebra and Number Theory Packages for the Julia Programming Language (2017) arXiv
  13. de Camargo, André Pierro; Mascarenhas, Walter F.: The stability of extended Floater-Hormann interpolants (2017)
  14. Grau-Sánchez, Miquel; Noguera, Miquel: A multidimensional generalization of some classes of free-derivative iterative methods to solve nonlinear equations (2017)
  15. Grau-Sánchez, Miquel; Noguera, Miquel; Gutiérrez, José M.: A multidimensional generalization of some classes of iterative methods (2017)
  16. Liu, Yung-Hsiang; Chen, Rong-Jaye: An asymptotically perfect secret sharing scheme based on the Chinese remainder theorem (2017)
  17. Narang, Mona; Bhatia, Saurabh; Kanwar, Vinay: New efficient derivative free family of seventh-order methods for solving systems of nonlinear equations (2017)
  18. Suñé, Víctor: Computing the expected Markov reward rates with stationarity detection and relative error control (2017)
  19. Toth, Csaba D. (ed.); Goodman, Jacob E. (ed.); O’Rourke, Joseph (ed.): Handbook of discrete and computational geometry (2017)
  20. Bangay, Shaun; Beliakov, Gleb: On the fast Lanczos method for computation of eigenvalues of Hankel matrices using multiprecision arithmetics. (2016)

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