Applied numerical methods with MATLAB for engineers and scientists / Steven C. Chapra.
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Item type | Current library | Call number | Copy number | Status | Notes | Date due | Barcode |
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Main Library | QA297 .C4185 2012 (Browse shelf (Opens below)) | 1 | Available | STACKS | 51952000238850 |
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QA29.E8 .C35 2016 Leonhard Euler : mathematical genius in the Enlightenment / | QA295 .G275 2016 Graphs for pattern recognition : infeasible systems of linear inequalities / | QA297 .A33 2013 تعلم ماتلاب Matlab بنفسك : خطوة بخطوة تعلم بنفسك برنامج ماتلاب من خلال العديد من الأمثلة العامة والمتخصصة / | QA297 .C4185 2012 Applied numerical methods with MATLAB for engineers and scientists / | QA297 .D34 2006 MATLAB tutor CD : learning MATLAB superfast! / | QA297 .H2963 2005 Mastering MATLAB 7 / | QA297 .H37 2011 استخدام برنامج MATLAB في الرياضيات الجامعية / |
Includes bibliographical references (pages 644-645) and index.
Mathematical modeling, numerical methods, and problem solving -- MATHLAB fundamentals -- Programming with mathlab -- Roundoff and truncation errors -- Roots: bracketing methods -- Roots: open methods -- Optimization -- Linear algebraic equations and matrices -- Gauss elimination -- LU factorization -- Matrix inverse and condition -- Iterative methods -- Eigenvalues -- Linear regression -- General linear least-squeares and nonlinear regession -- Fourier analysis -- Polynomial interpolation -- Splines and piecewise interpolation -- Numerical integration formulas -- Numerical integration of functions -- Numerical differentiation -- Initial-value problems -- Adaptive methods and stiff systems -- Boundary-value problems.
Steven Chapra's Applied Numerical Methods with MATLAB, third edition, is written for engineering and science students who need to learn numerical problem solving. Theory is introduced to inform key concepts which are framed in applications and demonstrated using MATLAB. The book is designed for a one-semester or one-quarter course in numerical methods typically taken by undergraduates. The third edition features new chapters on Eigenvalues and Fourier Analysis and is accompanied by an extensive set of m-files and instructor materials.
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