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ISE Applied Numerical Methods with MATLAB for Engineers and Scientists - Steven Chapra

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        Avis sur Ise Applied Numerical Methods With Matlab For Engineers And Scientists de Steven Chapra Format Broché  - Livre

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        Présentation Ise Applied Numerical Methods With Matlab For Engineers And Scientists de Steven Chapra Format Broché

         - Livre

        Livre - Steven Chapra - 01/01/2018 - Broché - Langue : Anglais

        . .

      • Auteur(s) : Steven Chapra
      • Editeur : Mcgraw-Hill Education
      • Langue : Anglais
      • Parution : 01/01/2018
      • Nombre de pages : 736
      • Expédition : 1001
      • Dimensions : 23.1 x 18.2 x 3.0
      • ISBN : 126008325X



      • Résumé :

        Applied Numerical Methods with MATLAB is written for students who want to learn and apply numerical methods in order to solve problems in engineering and science. As such, the methods are motivated by problems rather than by mathematics. That said, sufficient theory is provided so that students come away with insight into the techniques and their shortcomings.

        McGraw-Hill's Connect, is also available as an optional, add on item. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect allows the professor to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student's work. Problems are randomized to prevent sharing of answers an may also have a multi-step solution which helps move the students' learning along if they experience difficulty.

        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 One - Modeling, Computers, and Error Analysis

        1) Mathematical Modeling, Numerical Methods, and Problem Solving

        2) MATLAB Fundamentals

        3) Programming with MATLAB

        4) Roundoff and Truncation Errors

        Part Two - Roots and Optimization

        5) Roots: Bracketing Methods

        6) Roots: Open Methods

        7) Optimization

        Part Three - Linear Systems

        8) Linear Algebraic Equations and Matrices

        9) Gauss Elimination

        10) LU Factorization

        11) Matrix Inverse and Condition

        12) Iterative Methods

        13) Eigenvalues

        Part Four - Curve Fitting

        14) Linear Regression

        15) General Linear Least-Squares and Nonlinear Regression

        16) Fourier Analysis

        17) Polynomial Interpolation

        18) Splines and Piecewise Interpolation

        Part Five - Integration and Differentiation

        19) Numerical Integration Formulas

        20) Numerical Integration of Functions

        21) Numerical Differentiation

        Part Six - Ordinary Differential Equations

        22) Initial-Value Problems

        23) Adaptive Methods and Stiff Systems

        24) Boundary-Value Problems

        Appendix A - MATLAB Built-In Functions

        Appendix B - MATLAB M-File Functions

        Index

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