Idioma: Inglés
Publicado por Chapman and Hall/CRC (edition 1), 2014
ISBN 10: 1482211297 ISBN 13: 9781482211290
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
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Idioma: Inglés
Publicado por Taylor & Francis Inc, Oakville, 2014
ISBN 10: 1482211297 ISBN 13: 9781482211290
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EUR 115,23
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Añadir al carritoHardcover. Condición: new. Hardcover. The MATLAB programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips, it leaves no stone unturned, discussing every aspect of MATLAB.Ideal for novices and professionals alike, the book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup.The book covers MATLAB, CPU, and memory profiling and discusses various tradeoffs in performance tuning. It describes both the application of standard industry techniques in MATLAB, as well as methods that are specific to MATLAB such as using different data types or built-in functions. The book covers MATLAB vectorization, parallelization (implicit and explicit), optimization, memory management, chunking, and caching. It explains MATLABs memory model and details how it can be leveraged. It describes the use of GPU, MEX, FPGA, and other forms of compiled code, as well as techniques for speeding up deployed applications. It details specific tips for MATLAB GUI, graphics, and I/O. It also reviews a wide variety of utilities, libraries, and toolboxes that can help to improve performance.Sufficient information is provided to allow readers to immediately apply the suggestions to their own MATLAB programs. Extensive references are also included to allow those who wish to expand the treatment of a particular topic to do so easily.Supported by an active website, and numerous code examples, the book will help readers rapidly attain significant reductions in development costs and program run times. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Idioma: Inglés
Publicado por Chapman and Hall/CRC 2014-12-11, 2014
ISBN 10: 1482211297 ISBN 13: 9781482211290
Librería: Chiron Media, Wallingford, Reino Unido
EUR 115,29
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Taylor & Francis Group, 2014
ISBN 10: 1482211297 ISBN 13: 9781482211290
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 139,78
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Añadir al carritoCondición: New. pp. 576.
Idioma: Inglés
Publicado por Taylor & Francis Inc, Oakville, 2014
ISBN 10: 1482211297 ISBN 13: 9781482211290
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 112,88
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Añadir al carritoHardcover. Condición: new. Hardcover. The MATLAB programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips, it leaves no stone unturned, discussing every aspect of MATLAB.Ideal for novices and professionals alike, the book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup.The book covers MATLAB, CPU, and memory profiling and discusses various tradeoffs in performance tuning. It describes both the application of standard industry techniques in MATLAB, as well as methods that are specific to MATLAB such as using different data types or built-in functions. The book covers MATLAB vectorization, parallelization (implicit and explicit), optimization, memory management, chunking, and caching. It explains MATLABs memory model and details how it can be leveraged. It describes the use of GPU, MEX, FPGA, and other forms of compiled code, as well as techniques for speeding up deployed applications. It details specific tips for MATLAB GUI, graphics, and I/O. It also reviews a wide variety of utilities, libraries, and toolboxes that can help to improve performance.Sufficient information is provided to allow readers to immediately apply the suggestions to their own MATLAB programs. Extensive references are also included to allow those who wish to expand the treatment of a particular topic to do so easily.Supported by an active website, and numerous code examples, the book will help readers rapidly attain significant reductions in development costs and program run times. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 743 pages. 10.00x7.25x1.75 inches. In Stock.
Idioma: Inglés
Publicado por Taylor & Francis Group, 2014
ISBN 10: 1482211297 ISBN 13: 9781482211290
Librería: Majestic Books, Hounslow, Reino Unido
EUR 133,83
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Añadir al carritoCondición: New. pp. 576 16 page/ 31 figures This item is printed on demand.
Idioma: Inglés
Publicado por Taylor & Francis Group, 2014
ISBN 10: 1482211297 ISBN 13: 9781482211290
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 143,20
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 576.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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Librería: preigu, Osnabrück, Alemania
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Añadir al carritoBuch. Condición: Neu. Accelerating MATLAB Performance | 1001 tips to speed up MATLAB programs | Yair M. Altman | Buch | Einband - fest (Hardcover) | Englisch | 2014 | Chapman and Hall/CRC | EAN 9781482211290 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 189,23
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The MATLAB® programming environment is often perceived as a platform suitable for prototyping and modeling but not for 'serious' applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips, it leaves no stone unturned, discussing every aspect of MATLAB.Ideal for novices and professionals alike, the book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup.The book covers MATLAB, CPU, and memory profiling and discusses various tradeoffs in performance tuning. It describes both the application of standard industry techniques in MATLAB, as well as methods that are specific to MATLAB such as using different data types or built-in functions. The book covers MATLAB vectorization, parallelization (implicit and explicit), optimization, memory management, chunking, and caching. It explains MATLAB's memory model and details how it can be leveraged. It describes the use of GPU, MEX, FPGA, and other forms of compiled code, as well as techniques for speeding up deployed applications. It details specific tips for MATLAB GUI, graphics, and I/O. It also reviews a wide variety of utilities, libraries, and toolboxes that can help to improve performance.Sufficient information is provided to allow readers to immediately apply the suggestions to their own MATLAB programs. Extensive references are also included to allow those who wish to expand the treatment of a particular topic to do so easily.Supported by an active website, and numerous code examples, the book will help readers rapidly attain significant reductions in development costs and program run times.