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Matrix Algebra pp 429-443 | Cite as

Numerical Linear Algebra

Part of the Springer Texts in Statistics book series (STS)

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.

Keywords

Condition Number Singular Value Decomposition Monte Carlo Study Sparse Matrice Numerical Linear Algebra 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2007

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