GNU Octave is a high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with Matlab. It may also be used as a batch-oriented language. Octave has extensive tools for solving common numerical linear algebra problems, finding the roots of nonlinear equations, integrating ordinary functions, manipulating polynomials, and integrating ordinary differential and differential-algebraic equations. It is easily extensible and customizable via user-defined functions written in Octave’s own language, or using dynamically loaded modules written in C++, C, Fortran, or other languages.

This software is also referenced in ORMS.

References in zbMATH (referenced in 298 articles , 1 standard article )

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  1. Araujo, Leonardo C.; Sansão, João P. H.; Vale-Cardoso, Adriano S.: Fast computation of binomial coefficients (2021)
  2. Cambareri, Pasquale; Di Rienzo, Luca: Complete analytic integrations for the 2D BEM representation of the Laplace equation with linear shape functions (2021)
  3. Dickinson, Peter J. C.; de Zeeuw, Reinier: Generating irreducible copositive matrices using the stable set problem (2021)
  4. Frochte, Jörg: Finite element method. A practical introduction to GNU Octave/MATLAB (2021)
  5. Jason Rumengan, Terry Yue Zhuo, Conrad Sanderson: PyArmadillo: a streamlined linear algebra library for Python (2021) arXiv
  6. Provotar, O. I.; Provotar, O. O.: Approximate calculation of the probability measure of a fuzzy event (2021)
  7. Álvarez, Inmaculada C.; Barbero, Javier and Zofío, José L: A Data Envelopment Analysis Toolbox for MATLAB (2020) not zbMATH
  8. Delourme, Bérangère; Duyckaerts, Thomas; Lerner, Nicolas: On integrals over a convex set of the Wigner distribution (2020)
  9. Girardin, Léo: Two components is too simple: an example of oscillatory Fisher-KPP system with three components (2020)
  10. Jan Górecki, Marius Hofert, Martin Holeňa: Hierarchical Archimedean Copulas for MATLAB and Octave: The HACopula Toolbox (2020) not zbMATH
  11. Jannesari, Zahra; Tatari, Mehdi: An adaptive strategy for solving convection dominated diffusion equation (2020)
  12. Karl Wette: SWIGLAL: Python and Octave interfaces to the LALSuite gravitational-wave data analysis libraries (2020) arXiv
  13. Kenneth L. Ho: FLAM: Fast Linear Algebra in MATLAB - Algorithms for Hierarchical Matrices (2020) not zbMATH
  14. Kraft, Daniel: Computing the Hausdorff distance of two sets from their distance functions (2020)
  15. Luz, Carlos J.: New results for recognizing convex-(QP) adverse graphs (2020)
  16. Martin Rabe: Spectram: A MATLAB and GNU Octave Toolbox for Transition Model Guided Deconvolution of Dynamic Spectroscopic Data (2020) not zbMATH
  17. Nuno Fachada, Agostinho C. Rosa: generateData - A 2D data generator (2020) not zbMATH
  18. Oruç, Ömer; Esen, Alaattin; Bulut, Fatih: A Strang splitting approach combined with Chebyshev wavelets to solve the regularized long-wave equation numerically (2020)
  19. Quarteroni, Alfio; Gervasio, Paola: A primer on mathematical modelling. Based on a translation of the Italian edition (2020)
  20. Vítor S. Ramos: SIHR: a MATLAB/GNU Octave toolbox for single image highlight removal (2020) not zbMATH

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