Linear algebra and probability for computer science applications

By:

Davis, Ernest

Material type: Text

9781466501553

Subject(s):

DDC classification:

512.5 23 DAV-L

LOC classification:

QA76.9.M35 D38 2012

Summary: "Taking a computer scientist's point of view, this classroom-tested text gives an introduction to linear algebra and probability theory, including some basic aspects of statistics. It discusses examples of applications from a wide range of areas of computer science, including computer graphics, computer vision, robotics, natural language processing, web search, machine learning, statistical analysis, game playing, graph theory, scientific computing, decision theory, coding, cryptography, network analysis, data compression, and signal processing. It includes an extensive discussion of MATLAB, and includes numerous MATLAB exercises and programming assignments"--

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Books	IIITD Reference	Mathematics	REF 512.5 DAV-L (Browse shelf(Opens below))	Available		001416

Total holds: 0

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Previous						No cover image available		Next
Previous	REF 512.5 BAK-L Linear algebra	REF 512.5 CHE-L Linear algebra : theory and applications	REF 512.5 COH-E Elements of linear algebra	REF 512.5 DAV-L Linear algebra and probability for computer science applications	REF 512.5 HOF-L Linear algebra	REF 512.5 KUM-L Linear algebra: a geometric approach	REF 512.5 LAY-L Linear algebra and its applications	Next

Includes bibliographical references and index.

"Taking a computer scientist's point of view, this classroom-tested text gives an introduction to linear algebra and probability theory, including some basic aspects of statistics. It discusses examples of applications from a wide range of areas of computer science, including computer graphics, computer vision, robotics, natural language processing, web search, machine learning, statistical analysis, game playing, graph theory, scientific computing, decision theory, coding, cryptography, network analysis, data compression, and signal processing. It includes an extensive discussion of MATLAB, and includes numerous MATLAB exercises and programming assignments"--

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