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1: Introduction

  • Page ID
    126377

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    • 1.01: Introduction to Numerical Methods
      Introduction to numerical methods, or techniques to approximate mathematical processes such as integrals, differential equations, or nonlinear equations when the procedure cannot be solved analytically or the analytical method is infeasible.
    • 1.02: Quantifying Errors
      Methods of quantifying error, including true, relative true, approximate, and relative approximate errors. The relationship between the number of significant digits correct and the relative approximate error.
    • 1.03: Sources of Error
      Discussion of round-off and truncation errors, how they arise, and examples of the problems they can create.
    • 1.04: Fixed-Point Binary Representation of Numbers
      Conversion between decimal and binary representation of numbers; representing numbers in fixed-point binary form.
    • 1.05: Floating-Point Binary Representation of Numbers
      Floating-point binary representation of numbers, with and without biased exponents. Discussion of the accuracy of such representations.
    • 1.07: The Taylor Theorem Revisited
      Review of the Taylor Theorem. Overview of the role played by its applications in numerical methods.


    This page titled 1: Introduction is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Autar Kaw via source content that was edited to the style and standards of the LibreTexts platform.

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