Applied Numerical Methods with MATLAB for Engineers and Scientists
4th Edition
Published on 6. February 2017
Book
Hardback
720 pages
978-0-07-339796-2 (ISBN)
Description
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 Education'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.
More details
Series
Language
English
Place of publication
United States
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Illustrations
286 Illustrations, unspecified
Dimensions
Height: 239 mm
Width: 191 mm
Thickness: 33 mm
Weight
1270 gr
ISBN-13
978-0-07-339796-2 (9780073397962)
Schweitzer Classification
Other editions
Previous edition
Book
03/2011
3rd Edition
McGraw-Hill Professional
€219.11
Article exhausted; check for reprint
Person
Steven C. Chapra (Medford, MA) is Professor of Civil and Environmental Engineering, Tufts University.
Content
Part One - Modeling, Computers, and Error Analysis1) Mathematical Modeling, Numerical Methods, and Problem Solving2) MATLAB Fundamentals3) Programming with MATLAB4) Roundoff and Truncation ErrorsPart Two - Roots and Optimization5) Roots: Bracketing Methods6) Roots: Open Methods7) OptimizationPart Three - Linear Systems8) Linear Algebraic Equations and Matrices9) Gauss Elimination10) LU Factorization11) Matrix Inverse and Condition12) Iterative Methods13) EigenvaluesPart Four - Curve Fitting14) Linear Regression15) General Linear Least-Squares and Nonlinear Regression16) Fourier Analysis17) Polynomial Interpolation18) Splines and Piecewise InterpolationPart Five - Integration and Differentiation19) Numerical Integration Formulas20) Numerical Integration of Functions21) Numerical DifferentiationPart Six - Ordinary Differential Equations22) Initial-Value Problems23) Adaptive Methods and Stiff Systems24) Boundary-Value ProblemsAppendix A - MATLAB Built-In FunctionsAppendix B - MATLAB M-File FunctionsIndex