Description

Book Synopsis
An accessible guide to developing intuition and skills for solving mathematical problems in the physical sciences and engineering

Equations play a central role in problem solving across various fields of study. Understanding what an equation means is an essential step toward forming an effective strategy to solve it, and it also lays the foundation for a more successful and fulfilling work experience. Thinking About Equations provides an accessible guide to developing an intuitive understanding of mathematical methods and, at the same time, presents a number of practical mathematical tools for successfully solving problems that arise in engineering and the physical sciences.

Equations form the basis for nearly all numerical solutions, and the authors illustrate how a firm understanding of problem solving can lead to improved strategies for computational approaches. Eight succinct chapters provide thorough topical coverage, including:

  • Approximation

    Table of Contents
    Preface.

    Acknowledgments.

    List of Worked-Out Example Problems.

    1 Equations Representing Physical Quantities.

    1.1 Systems of Units.

    1.2 Conversion of Units.

    1.3 Dimensional Checks and the Use of Symbolic Parameters.

    1.4 Arguments of Transcendental Functions.

    1.5 Dimensional Checks to Generalize Equations.

    1.6 Other Types of Units.

    1.7 Simplifying Intermediate Calculations.

    Exercises.

    2 A Few Pitfalls and a Few Useful Tricks.

    2.1 A Few Instructive Pitfalls.

    2.2 A Few Useful Tricks.

    2.3 A Few “Advanced” Tricks.

    Exercises.

    3 Limiting and Special Cases.

    3.1 Special Cases to Simplify and Check Algebra.

    3.2 Special Cases and Heuristic Arguments.

    3.3 Limiting Cases of a Differential Equation.

    3.4 Transition Points.

    Exercises.

    4 Diagrams, Graphs, and Symmetry.

    4.1 Introduction.

    4.2 Diagrams for Equations.

    4.3 Graphical Solutions.

    4.4 Symmetry to Simplify Equations.

    Exercises.

    5 Estimation and Approximation.

    5.1 Powers of Two for Estimation.

    5.2 Fermi Questions.

    5.3 Estimates Based on Simple Physics.

    5.4 Approximating Definite Integrals.

    5.5 Perturbation Analysis.

    5.6 Isolating Important Variables.

    Exercises.

    6 Introduction to Dimensional Analysis and Scaling.

    6.1 Dimensional Analysis: An Introduction.

    6.2 Dimensional Analysis: A Systematic Approach.

    6.3 Introduction to Scaling.

    Exercises.

    7 Generalizing Equations.

    7.1 Binomial Expressions.

    7.2 Motivating a General Expression.

    7.3 Recurring Themes.

    7.4 General yet Simple: Euler’s Identity.

    7.5 When to Try to Generalize.

    Exercises.

    8 Several Instructive Examples.

    8.1 Choice of Coordinate System.

    8.2 Solution Has Unexpected Properties.

    8.3 Solutions in Search of Problems.

    8.4 Learning from Remarkable Results.

    Exercises.

    Index.

Thinking About Equations

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    £62.06

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    RRP £68.95 – you save £6.89 (9%)

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    A Paperback / softback by Matt A. Bernstein, William A. Friedman


      View other formats and editions of Thinking About Equations by Matt A. Bernstein

      Publisher: John Wiley & Sons Inc
      Publication Date: 30/07/2009
      ISBN13: 9780470186206, 978-0470186206
      ISBN10: 0470186208
      Also in:
      Mathematics

      Description

      Book Synopsis
      An accessible guide to developing intuition and skills for solving mathematical problems in the physical sciences and engineering

      Equations play a central role in problem solving across various fields of study. Understanding what an equation means is an essential step toward forming an effective strategy to solve it, and it also lays the foundation for a more successful and fulfilling work experience. Thinking About Equations provides an accessible guide to developing an intuitive understanding of mathematical methods and, at the same time, presents a number of practical mathematical tools for successfully solving problems that arise in engineering and the physical sciences.

      Equations form the basis for nearly all numerical solutions, and the authors illustrate how a firm understanding of problem solving can lead to improved strategies for computational approaches. Eight succinct chapters provide thorough topical coverage, including:

      • Approximation

        Table of Contents
        Preface.

        Acknowledgments.

        List of Worked-Out Example Problems.

        1 Equations Representing Physical Quantities.

        1.1 Systems of Units.

        1.2 Conversion of Units.

        1.3 Dimensional Checks and the Use of Symbolic Parameters.

        1.4 Arguments of Transcendental Functions.

        1.5 Dimensional Checks to Generalize Equations.

        1.6 Other Types of Units.

        1.7 Simplifying Intermediate Calculations.

        Exercises.

        2 A Few Pitfalls and a Few Useful Tricks.

        2.1 A Few Instructive Pitfalls.

        2.2 A Few Useful Tricks.

        2.3 A Few “Advanced” Tricks.

        Exercises.

        3 Limiting and Special Cases.

        3.1 Special Cases to Simplify and Check Algebra.

        3.2 Special Cases and Heuristic Arguments.

        3.3 Limiting Cases of a Differential Equation.

        3.4 Transition Points.

        Exercises.

        4 Diagrams, Graphs, and Symmetry.

        4.1 Introduction.

        4.2 Diagrams for Equations.

        4.3 Graphical Solutions.

        4.4 Symmetry to Simplify Equations.

        Exercises.

        5 Estimation and Approximation.

        5.1 Powers of Two for Estimation.

        5.2 Fermi Questions.

        5.3 Estimates Based on Simple Physics.

        5.4 Approximating Definite Integrals.

        5.5 Perturbation Analysis.

        5.6 Isolating Important Variables.

        Exercises.

        6 Introduction to Dimensional Analysis and Scaling.

        6.1 Dimensional Analysis: An Introduction.

        6.2 Dimensional Analysis: A Systematic Approach.

        6.3 Introduction to Scaling.

        Exercises.

        7 Generalizing Equations.

        7.1 Binomial Expressions.

        7.2 Motivating a General Expression.

        7.3 Recurring Themes.

        7.4 General yet Simple: Euler’s Identity.

        7.5 When to Try to Generalize.

        Exercises.

        8 Several Instructive Examples.

        8.1 Choice of Coordinate System.

        8.2 Solution Has Unexpected Properties.

        8.3 Solutions in Search of Problems.

        8.4 Learning from Remarkable Results.

        Exercises.

        Index.

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