Titlebook: La sfida del trasferimento tecnologico: le Università italiane si raccontano; Mattia Bianchi,Andrea Piccaluga Book 2012 Springer Milan 201

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nd not only in these large areas, but also thrive in the geosciences, materials science, and clinical and biochemical analysis. As an inevitable corollary of the field‘s growth, the scientist seeking to develop a fluent expertise has been forced to assimilate and master a rapidly increasing quantity

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Mattia Bianchinsistent floating-point number systems of early computing to the recent IEEE 754-2008 standard. Most of computational mathematics depends on floating-point numbers, and understanding their various implementations will allow readers to develop programs specifically tailored for the standard’s technic

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ully exploited to its full potential.Techniques are illustraThis handbook is a definitive guide to the effective use of modern floating-point arithmetic, which has considerably evolved, from the frequently inconsistent floating-point number systems of early computing to the recent IEEE 754-2008 stan

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Alberto Cutticansistent floating-point number systems of early computing to the recent IEEE 754-2008 standard. Most of computational mathematics depends on floating-point numbers, and understanding their various implementations will allow readers to develop programs specifically tailored for the standard’s technic

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Monia Gentile,Alessandra Patrono,Andrea Piccalugaully exploited to its full potential.Techniques are illustraThis handbook is a definitive guide to the effective use of modern floating-point arithmetic, which has considerably evolved, from the frequently inconsistent floating-point number systems of early computing to the recent IEEE 754-2008 stan

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Orsola Macis,Tiziana Masciaber arithmetic on modern computers, yet is far from being fu.Floating-point arithmetic is by far the most widely used way of implementing real-number arithmetic on modern computers. Although the basic principles of floating-point arithmetic can be explained in a short amount of time, making such an

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Laura Ramaciotti,Sabrina Landinis of floating-point arithmetic can be explained in a short amount of time, making such an arithmetic reliable and portable, yet fast, is a very difficult task. From the 1960s to the early 1980s, many different arithmetics were developed, but their implementation varied widely from one machine to ano

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