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Scientific Computing - An Introduction using Maple and MATLAB
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Why Study Scientific Computing?
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Chapter 2
Finite Precision Arithmetic
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Chapter 3
Linear Systems of Equations
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Chapter 4
Interpolation
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Chapter 5
Nonlinear Equations
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Chapter 6
Least Squares Problems
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Chapter 7
Eigenvalue Problems
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Chapter 8
Differentiation
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Chapter 9
Quadrature
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Chapter 10
Numerical Ordinary Differential Equations
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Chapter 11
Iterative Methods for Linear Systems
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Chapter 12
Optimization
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
Citations
dimensions_citation
67
Dimensions
Readers on
mendeley
112
Mendeley
Book overview
1. Why Study Scientific Computing?
2. Finite Precision Arithmetic
3. Linear Systems of Equations
4. Interpolation
5. Nonlinear Equations
6. Least Squares Problems
7. Eigenvalue Problems
8. Differentiation
9. Quadrature
10. Numerical Ordinary Differential Equations
11. Iterative Methods for Linear Systems
12. Optimization
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
1
syllabus from an institution on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Stanford University
1
Computer Science