[Télécharger] Coding the Matrix: Linear Algebra through Computer Science Applications (English Edition) de Philip Klein Livres Pdf Epub
Télécharger Coding the Matrix: Linear Algebra through Computer Science Applications (English Edition) de Philip Klein Pdf Epub
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Auteur : Philip Klein
Catégorie : Boutique Kindle,Ebooks Kindle,Ebooks en langues étrangères
Broché : * pages
Éditeur : *
Langue : Français, Anglais
An engaging introduction to vectors and matrices and the algorithms that operate on them, intended for the student who knows how to program. Mathematical concepts and computational problems are motivated by applications in computer science. The reader learns by doing, writing programs to implement the mathematical concepts and using them to carry out tasks and explore the applications. Examples include: error-correcting codes, transformations in graphics, face detection, encryption and secret-sharing, integer factoring, removing perspective from an image, PageRank (Google's ranking algorithm), and cancer detection from cell features. A companion web site, codingthematrix.com, provides data and support code. Most of the assignments can be auto-graded online. Over two hundred illustrations, including a selection of relevant xkcd comics.
Télécharger Coding the Matrix: Linear Algebra through Computer Science Applications (English Edition) de Philip Klein livre En ligne
Coding The Matrix ~ Coding The Matrix: Linear Algebra Through Computer Science Applications. About The Course . The course has been taught at Brown University since 2008, and is being taught in Fall 2017. Slides from past editions of the Brown University course are available here. A shortened version has been taught through Coursera. The aim of this course is to provide students interested in computer science an .
Coding the Matrix: Linear Algebra through Applications to ~ I believe it will be very difficult to self-study linear algebra through this book without following the coursera course (and the discussion forums). It is very nice that this books combines real computer science applications and demonstrate how linear algebra is used to solve them. This is the most nice part of this book.
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Rank (linear algebra) - Wikipedia ~ In linear algebra, the rank of a matrix is the dimension of the vector space generated (or spanned) by its columns. This corresponds to the maximal number of linearly independent columns of .This, in turn, is identical to the dimension of the vector space spanned by its rows. Rank is thus a measure of the "nondegenerateness" of the system of linear equations and linear transformation encoded by .
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