It takes the average reader to read Computational Linear Algebra by Robert E. White
Assuming a reading speed of 250 words per minute. Learn more
Courses on linear algebra and numerical analysis need each other. Often NA courses have some linear algebra topics, and LA courses mention some topics from numerical analysis/scientific computing. This text merges these two areas into one introductory undergraduate course. It assumes students have had multivariable calculus. A second goal of this text is to demonstrate the intimate relationship of linear algebra to applications/computations. A rigorous presentation has been maintained. A third reason for writing this text is to present, in the first half of the course, the very important topic on singular value decomposition, SVD. This is done by first restricting consideration to real matrices and vector spaces. The general inner product vector spaces are considered starting in the middle of the text. The text has a number of applications. These are to motivate the student to study the linear algebra topics. Also, the text has a number of computations. MATLAB, is used, but one could modify these codes to other programming languages. These are either to simplify some linear algebra computation, or to model a particular application.
Computational Linear Algebra by Robert E. White is 0 pages long, and a total of 0 words.
This makes it 0% the length of the average book. It also has 0% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes to read Computational Linear Algebra aloud.
Computational Linear Algebra is suitable for students ages 2 and up.
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