Most scientific computational problems involve vectors and matrices. It is necessary to work with either the elements of vectors and matrices individually or with the arrays themselves. Programming languages such as Fortran 77 and C provide the capabilities for working with the individual elements but not directly with the arrays. Fortran 95 and higher-level languages such as Octave or Matlab and R allow direct manipulation with vectors and matrices.
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© 2007 Springer Science+Business Media, LLC
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(2007). Numerical Linear Algebra. In: Matrix Algebra. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-70873-7_11
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DOI: https://doi.org/10.1007/978-0-387-70873-7_11
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