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Intellectual Property in the Food Technology Industry

Protecting Your Innovation

By: Ryan W. O’Donnell,John J. O’Malley,Randolph J. Huis,Gerald B. Halt

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Intellectual Property in the Food Technology Industry

Protecting Your Innovation

By: Ryan W. O’Donnell,John J. O’Malley,Randolph J. Huis,Gerald B. Halt

Considering the effort and funding devoted to a company's success, understanding Intellectual Property rights patents, trade secrets, trademarks, and licensing is essential. Establishing appropriate internal policies from the outset can prevent companies from learning a costly and painful lesson in the courtroom. With Intellectual Property in the Food Technology Industry, currently the only book of its kind focusing specifically on the food industry, one will learn what to consider throughout the various creative phases of a product's lifespan from initial research and development initiatives through post-production. Readers will have an understanding of the intellectual property protections afforded to U.S. corporations, methods to pro-actively reduce potential problems, and guidelines for future considerations to reduce legal spending, prevent IP theft, and allow for greater profitability from corporate innovation and inventiveness.

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Page Count

150

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387773894

ISBN 13

9780387773896

Analysis of Boolean Functions

By: Ryan O'Donnell

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Analysis of Boolean Functions

By: Ryan O'Donnell

Boolean functions are perhaps the most basic objects of study in theoretical computer science. They also arise in other areas of mathematics, including combinatorics, statistical physics, and mathematical social choice. The field of analysis of Boolean functions seeks to understand them via their Fourier transform and other analytic methods. This text gives a thorough overview of the field, beginning with the most basic definitions and proceeding to advanced topics such as hypercontractivity and isoperimetry. Each chapter includes a 'highlight application' such as Arrow's theorem from economics, the Goldreich–Levin algorithm from cryptography/learning theory, Håstad's NP-hardness of approximation results, and 'sharp threshold' theorems for random graph properties. The book includes roughly 450 exercises and can be used as the basis of a one-semester graduate course. It should appeal to advanced undergraduates, graduate students and researchers in computer science theory and related mathematical fields.

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Page Count

445

Publisher

Cambridge University Press

Published Date

ISBN 10

1139952501

ISBN 13

9781139952507