Normal view MARC view ISBD view

Accelerating MATLAB® performance: 1001 tips to speed up MATLAB programs/ Yair Altman

By: Altman, YairMaterial type: Text

TextPublication details: Boca Raton: CRC Press, 2015Description: xxv, 743 p. : ill. ; 26 cmISBN: 9781482211290; 1482211297Subject(s): MATLAB | Numerical analysis--Computer programs | Numerical analysis--Data processingDDC classification: 005.1

Contents:

Introduction to performance tuning -- Profiling MATLAB® performance -- Standard performance-tuning techniques -- MATLAB®-specific techniques -- Implicit parallelization (vectorization and indexing) -- Explicit parallelization using MathWorks toolboxes -- Explicit parallelization by other means -- Using compiled code -- Memory-related techniques -- Graphics and GUI -- I/O techniques.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 2 )
Title notes ( 3 )
Comments ( 0 )

Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
General Books	Central Library, Sikkim University General Book Section	005.1 ALT/A (Browse shelf(Opens below))	Available		P40900
General Books	Central Library, Sikkim University General Book Section	005.1 ALT/A (Browse shelf(Opens below))	Available		P41460

Total holds: 0

Browsing Central Library, Sikkim University shelves, Shelving location: General Book Section Close shelf browser (Hides shelf browser)

Previous								Next
Previous	005.1 AHO/D The design and analysis of computer algorithms /	005.1 AHO/D The Design and Analysis of Algorithms	005.1 ALT/A Accelerating MATLAB® performance: 1001 tips to speed up MATLAB programs/	005.1 ALT/A Accelerating MATLAB® performance: 1001 tips to speed up MATLAB programs/	005.1 BAN/I Introduction to programming languages/	005.1 BEH/S Software Engineering Fundamentals	005.1 BEH/S Software Engineering Fundamentals	Next

"A Chapman & Hall book."

Includes bibliographical references (pages 645-721) and index.

Introduction to performance tuning --
Profiling MATLAB® performance --
Standard performance-tuning techniques --
MATLAB®-specific techniques --
Implicit parallelization (vectorization and indexing) --
Explicit parallelization using MathWorks toolboxes --
Explicit parallelization by other means --
Using compiled code --
Memory-related techniques --
Graphics and GUI --
I/O techniques.

There are no comments on this title.

to post a comment.