It takes the average reader 9 hours and 29 minutes to read Introduction to Scientific Computing and Data Analysis by Mark H. Holmes
Assuming a reading speed of 250 words per minute. Learn more
This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression-based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The codes used for most of the computational examples in the text are available on GitHub. This new edition includes material necessary for an upper division course in computational linear algebra.
Introduction to Scientific Computing and Data Analysis by Mark H. Holmes is 563 pages long, and a total of 142,439 words.
This makes it 190% the length of the average book. It also has 174% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 12 hours and 58 minutes to read Introduction to Scientific Computing and Data Analysis aloud.
Introduction to Scientific Computing and Data Analysis is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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