Introduction to Scientific Computing and Data Analysis, 2nd Ed
by Mark H. Holmes
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Preface and table of contents Springer web page for book
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Page Last Updated: 11/1/2025
The enclosed pages are formula summaries from the textbook. The conditions and/or requirements for each formula are not stated (for these you should refer to the relevant section in the text). Also, not every notable formula from the respective chapter is included (only the ones that are easiest to summarize).
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The following zipped folders contain most of codes used to produce the figures and tables in the textbook, organized by chapter.
They should download automatically when you click on them.
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The following zipped folder contains data files for several exercises in the textbook, along with additional exercises involving particular data sets.
They should download automatically when you click on them.
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Below are links to web-pages similar to those I use to create for courses I taught (I stopped doing this when RPI started firewalling our servers). The first course (MATH-4800) is an introduction to scientific computing, and the second (MATH-4840) is a course on numerical linear algebra and data analysis. What is provided is only meant to be an illustration on how the text can be used. Also, the topics for the last third of each course can vary from year to year.
There are many tutorials and quick reference guides for MATLAB on the web. The following is a short list of those that should be the most helpful.