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ISE Numerical Methods for Engineers - Raymond Canale

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        Avis sur Ise Numerical Methods For Engineers de Raymond Canale Format Broché  - Livre Technologie

        Note : 0 0 avis sur Ise Numerical Methods For Engineers de Raymond Canale Format Broché  - Livre Technologie

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        Présentation Ise Numerical Methods For Engineers de Raymond Canale Format Broché

         - Livre Technologie

        Livre Technologie - Raymond Canale - 01/04/2020 - Broché - Langue : Anglais

        . .

      • Auteur(s) : Raymond Canale - Steven Chapra
      • Editeur : Mcgraw-Hill Education
      • Langue : Anglais
      • Parution : 01/04/2020
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 1008
      • Expédition : 1436
      • Dimensions : 23.1 x 21.2 x 3.8
      • ISBN : 1260571386



      • Résumé :
        The eighth edition of Chapra and Canale's Numerical Methods for Engineers retains the instructional techniques that have made the text so successful. The book covers the standard numerical methods employed by both students and practicing engineers. Although relevant theory is covered, the primary emphasis is on how the methods are applied for engineering problem solving. Each part of the book includes a chapter devoted to case studies from the major engineering disciplines. Numerous new or revised end-of chapter problems and case studies are drawn from actual engineering practice. This edition also includes several new topics including a new formulation for cubic splines, Monte Carlo integration, and supplementary material on hyperbolic partial differential equations....

        Biographie:
        Steve Chapra is the Emeritus Professor and Emeritus Berger Chair in the Civil and Environmental Engineering Department at Tufts University. His other books include Surface Water-Quality Modeling, Numerical Methods for Engineers, and Applied Numerical Methods with Python.?Dr. Chapra received engineering degrees from Manhattan College and the University of Michigan. Before joining Tufts, he worked for the U.S. Environmental Protection Agency and the National Oceanic and Atmospheric Administration, and taught at Texas A&M University, the University of Colorado, and Imperial College London. His general research interests focus on surface water-quality modeling and advanced computer applications in environmental engineering.?He is a Fellow and Life Member of the American Society of Civil Engineering (ASCE) and has received many awards for his scholarly and academic contributions, including the Rudolph Hering Medal (ASCE) for his research, and the Meriam-Wiley Distinguished Author Award (American Society for Engineering Education). He has also been recognized as an outstanding teacher and advisor among the engineering faculties at Texas A&M University, the University of Colorado, and Tufts University. As a strong proponent of continuing education, he has also taught over 90 workshops for professionals on numerical methods, computer programming, and environmental modeling.Beyond his professional interests, he enjoys art, music (especially classical music, jazz, and bluegrass), and reading history. Despite unfounded rumors to the contrary, he never has, and never will, voluntarily bungee jump or sky dive.?...

        Sommaire:

        Part 1 - Modeling, Computers, and Error Analysis

        1) Mathematical Modeling and Engineering Problem Solving

        2) Programming and Software

        3) Approximations and Round-Off Errors

        4) Truncation Errors and the Taylor Series

        Part 2 - Roots of Equations

        5) Bracketing Methods

        6) Open Methods

        7) Roots of Polynomials

        8) Case Studies: Roots of Equations

        Part 3 - Linear Algebraic Equations

        9) Gauss Elimination

        10) LU Decomposition and Matrix Inversion

        11) Special Matrices and Gauss-Seidel

        12) Case Studies: Linear Algebraic Equations

        Part 4 - Optimization

        13) One-Dimensional Unconstrained Optimization

        14) Multidimensional Unconstrained Optimization

        15) Constrained Optimization

        16) Case Studies: Optimization

        Part 5 - Curve Fitting

        17) Least-Squares Regression

        18) Interpolation

        19) Fourier Approximation

        20) Case Studies: Curve Fitting

        Part 6 - Numerical Differentiation and Integration

        21) Newton-Cotes Integration Formulas

        22) Integration of Equations

        23) Numerical Differentiation

        24) Case Studies: Numerical Integration and Differentiation

        Part 7 - Ordinary Differential Equations

        25) Runge-Kutta Methods

        26) Stiffness and Multistep Methods

        27) Boundary-Value and Eigenvalue Problems

        28) Case Studies: Ordinary Differential Equations

        Part 8 - Partial Differential Equations

        29) Finite Difference: Elliptic Equations

        30) Finite Difference: Parabolic Equations

        31) Finite-Element Method

        32) Case Studies: Partial Differential Equations

        Appendix A - The Fourier Series

        Appendix B - Getting Started with Matlab

        Appendix C - Getting Starte dwith Mathcad

        Bibliography

        Index

        ...

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