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Linear Algebra and Equations

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Book cover Numeric Computation and Statistical Data Analysis on the Java Platform

Part of the book series: Advanced Information and Knowledge Processing ((AI&KP))

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Abstract

Most readers know from graduate textbooks that linear algebra is a branch of mathematics that deals with vector spaces, matrices, determinants, linear transformations, and systems of linear equations. This chapter explains how to put your hands on numeric packages for linear algebra. First of all, we will offer a description of Java classes designed to construct vectors and matrices. Then we will discuss the usual matrix operations. We will finish this chapter with a description of how to solve linear equations using the libraries provided by the DMelt project.

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References

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Authors and Affiliations

  1. HEP Division, Argonne National Laboratory, Lemont, IL, USA

    Sergei V. Chekanov

Authors
  1. Sergei V. Chekanov
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Correspondence to Sergei V. Chekanov .

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© 2016 Springer International Publishing Switzerland

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Chekanov, S.V. (2016). Linear Algebra and Equations. In: Numeric Computation and Statistical Data Analysis on the Java Platform. Advanced Information and Knowledge Processing. Springer, Cham. https://doi.org/10.1007/978-3-319-28531-3_5

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  • DOI: https://doi.org/10.1007/978-3-319-28531-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28529-0

  • Online ISBN: 978-3-319-28531-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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