Description

Book Synopsis
Numerical Linear Algebra and Optimization covers the fundamentals of closely related topics: linear systems (linear equations and least-squares) and linear programming (optimizing a linear function subject to linear constraints). For each problem class, stable and efficient numerical algorithms intended for a finite-precision environment are derived and analyzed. In 1991, when the book first appeared, these topics were rarely taught with a unified perspective, and, somewhat surprisingly, this remains true almost 30 years later. As a result, some of the material in this book can be difficult to find elsewhere—in particular, techniques for updating the LU factorization, descriptions of the simplex method applied to all-inequality form, and the analysis of what happens when using an approximate inverse to solve Ax=b.

This book is appropriate for students who want to learn about numerical techniques for solving linear systems and/or linear programming using the simplex method.

Numerical Linear Algebra and Optimization

    Product form

    £75.65

    Includes FREE delivery

    RRP £89.00 – you save £13.35 (15%)

    Order before 4pm today for delivery by Thu 6 Aug 2026.

    A Paperback / softback by Philip E. Gill, Walter Murray, Margaret H. Wright

    1 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Numerical Linear Algebra and Optimization by Philip E. Gill

      Publisher: Society for Industrial & Applied Mathematics,U.S.
      Publication Date: Publication Date: 30/06/2021
      ISBN13: 9781611976564, 978-1611976564
      ISBN10: 1611976561

      Description

      Book Synopsis
      Numerical Linear Algebra and Optimization covers the fundamentals of closely related topics: linear systems (linear equations and least-squares) and linear programming (optimizing a linear function subject to linear constraints). For each problem class, stable and efficient numerical algorithms intended for a finite-precision environment are derived and analyzed. In 1991, when the book first appeared, these topics were rarely taught with a unified perspective, and, somewhat surprisingly, this remains true almost 30 years later. As a result, some of the material in this book can be difficult to find elsewhere—in particular, techniques for updating the LU factorization, descriptions of the simplex method applied to all-inequality form, and the analysis of what happens when using an approximate inverse to solve Ax=b.

      This book is appropriate for students who want to learn about numerical techniques for solving linear systems and/or linear programming using the simplex method.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account