Download E-books LAFF - Linear Algebra: Foundations to Frontiers PDF

By Robert van de Geijn, Maggie Myers

LAFF all started as a major Open on-line path (MOOC) funded partially via the collage of Texas process and the nationwide technological know-how starting place (grant ACI-1148125), created via Prof. Robert van de Geijn and Dr. Maggie Myers on the collage of Texas at Austin, and introduced at the edX platform . The fabrics remain on hand with edX via a minimum of summer time 2014.

The "Notes to LAFF With" are a PDF e-book that turns into the "hub" by which the opposite LAFF fabric (e.g., the video clips) may be accessed. It is going past the notes that have been published as a part of the edX MOOC through additionally offering an index into the fabrics and incorporating huge recommendations for the homework exercises.

From the MOOC description:

Linear Algebra: Foundations to Frontiers (LAFF) is packed jam-packed with tough, profitable fabric that's crucial for mathematicians, engineers, scientists, and someone operating with huge datasets. scholars take pleasure in our new angle to instructing linear algebra simply because: It’s visible. It connects hand calculations, mathematical abstractions, and machine programming. It illustrates the improvement of mathematical conception. It’s appropriate. during this direction, you'll examine the entire common themes which are taught in general undergraduate linear algebra classes around the globe, yet utilizing our specified technique, you will additionally get extra! LAFF was once built following the syllabus of an introductory linear algebra direction on the collage of Texas at Austin taught by way of Professor Robert van de Geijn, knowledgeable on excessive functionality linear algebra libraries. via brief movies, routines, visualizations, and programming assignments, you'll learn Vector and Matrix Operations, Linear modifications, fixing structures of Equations, Vector areas, Linear Least-Squares, and Eigenvalues and Eigenvectors. additionally, you'll get a glimpse of innovative study at the improvement of linear algebra libraries, that are used all through computational technology.

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