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Introduction to Matrix Computations (1st Edition)

Author: G. W. Stewart
Binding: Paperback
Paper Quality: Black White Paper
Category: Mathematics / Linear Algebra / Numerical Analysis
Recommended For: Undergraduate and graduate students in mathematics, engineering, and computer science; researchers and professionals working with numerical computations and matrix methods.


Key Points

  • Focus on Numerical Techniques – Introduces core algorithms and numerical methods for working with matrices in computational settings.

  • Covers Key Concepts – Topics include matrix factorizations, Gaussian elimination, LU decomposition, eigenvalue problems, and singular value decomposition.

  • Applied Orientation – Bridges theory with practical computational concerns such as stability, efficiency, and algorithm implementation.

  • Written by a Renowned Expert – Authored by G. W. Stewart, a leading figure in numerical linear algebra.

  • Useful Across Disciplines – Applicable in areas such as scientific computing, engineering simulations, data science, and machine learning.

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Writer                               G. W. Stewart (Author)

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