Ernest Davis

Linear Algebra and Probability for Computer Science Applications (eBook, PDF)

• Format: PDF

Produktbeschreibung

Assuming as little mathematical background as possible, this classroom-tested text focuses on mathematical techniques that are most relevant to computer scientists. It covers applications from computer graphics, web search, machine learning, cryptography, and a host of other computer science areas. After an introductory chapter on MATLAB, the text is divided into two sections, with the first focusing on linear algebra and the second discussing probability. MATLAB functions, MATLAB programming assignments, and problems are included in each chapter. MATLAB code is available on the author's website.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 431
• Erscheinungstermin: 2. Mai 2012
• Englisch
• ISBN-13: 9781466501591
• Artikelnr.: 57106168

Autorenporträt

Ernest Davis is a computer science professor in the Courant Institute of Mathematical Sciences at New York University. He earned a Ph.D. in computer science from Yale University. Dr. Davis is a member of the American Association of Artificial Intelligence and is a reviewer for many journals. His research primarily focuses on spatial and physical reasoning.