Books on the topic 'Development and application of optimized algorithms'

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1

Elliott, Donald M. Application of a genetic algorithm to optimize quality assurance in software development. Monterey, Calif: Naval Postgraduate School, 1993.

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2

Venable, Herbert L. The development and application of algorithms for generating estimates of toxicity for the NOHS data base. Cincinnati, Ohio: U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Institute for Occupational Safety and Health, Division of Surveillance, Hazard Evaluations and Field Studies, 1986.

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3

Ray, Toal, ed. Programming with JavaScript: Algorithms and applications for desktop and mobile browsers. Burlington, MA: Jones & Bartlett Learning, 2013.

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4

1964-, Fleischer Rudolf, Moret B. M. E, and Schmidt E. M. 1945-, eds. Experimental algorithmics: From algorithm design to robust and efficient software. New York: Springer, 2002.

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5

Sahni, Sartaj. Data structures, algorithms, and applications in C++. Boston: WCB/McGraw-Hill, 1998.

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6

Data structures, algorithms, and applications in C [plus plus]. Boston: WCB/McGraw-Hill, 1998.

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7

Foundations of software testing: Fundamental algorithms and techniques : an undergraduate and graduate text, a reference for the practicing software engineer. Delhi: Pearson Education, 2008.

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8

Redbooks, IBM. Writing Optimized Java Applications for Z/OS. Ibm, 2002.

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9

Sahni, Sartaj. Data Structures, Algorithms, and Applications in Java. McGraww-Hill, 2000.

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10

Sahni, Sartaj. Data Structures, Algorithms and Applications in Java. McGraw-Hill Education (ISE Editions), 2000.

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11

Data Structures, Algorithms and Applications in Java. McGraw-Hill Education (ISE Editions), 2000.

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12

Data Structures, Algorithms, And Applications In Java. 2nd ed. Silicon Press, 2004.

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13

1964-, Fleischer Rudolf, Moret B. M. E, and Schmidt E. M. 1945-, eds. Experimental algorithmics: From algorithm design to robust and efficient software. Berlin: Springer, 2002.

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14

(Editor), Rudolf Fleischer, Bernhard Moret (Editor), and Erik Meineche Schmidt (Editor), eds. Experimental Algorithmics: From Algorithm Design to Robust and Efficient Software (Lecture Notes in Computer Science). Springer, 2003.

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15

Data Structures, Algorithms, And Applications In C++. 2nd ed. Silicon Press, 2004.

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16

A, Maslanik James, Steffen Konrad, and United States. National Aeronautics and Space Administration., eds. Ice surface retrieval from AVHRR, ATSR and passive microwave satellite data: Algorithm development and application, NAGW-3437, year 2 annual report. [Washington, DC: National Aeronautics and Space Administration, 1995.

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17

Programming JavaScript Applications: Robust Web Architecture with Node, HTML5, and Modern JS Libraries. O'Reilly Media, 2014.

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18

Michopoulos, John G., Christiaan J. J. Paredis, David W. Rosen, and Judy M. Vance. Advances in Computers and Information in Engineering Research, Volume 2. ASME, 2021. http://dx.doi.org/10.1115/1.862025.

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Book Series Editorial Board John Michopoulos, Naval Research Laboratory David Rosen, Georgia Institute of Technology Chris Paredis, Georgia Institute of Technology Judy Vance, Iowa State University This is the second volume in this book series that aims to capture advances in computers and information in engineering research, especially by researchers and members of ASME’s Computers & Information in Engineering (CIE) Division. The series is focusing on advances in computational methods, algorithms, tools, and processes on the cutting edge of research and development as they have evolved and/or have been reported during the last three to five annual CIE conferences. The series will provide a resource for enhancing engineering practice by enabling the understanding and the application of evolving and emerging technologies that impact critical engineering issues related to the topics and themes under CIE’s technical committees areas of interest, but not limited to: Advanced Modeling and Simulation; Computer-Aided Product and Process Development; Systems Engineering, Information and Knowledge Management; Virtual Environments and Systems.
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19

Stumpp, Stefan, Daniel Michelis, and Thomas Schildhauer, eds. Social Media Handbuch. Nomos Verlagsgesellschaft mbH & Co. KG, 2021. http://dx.doi.org/10.5771/9783748907466.

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The Social Media Handbook provides guidance on long-term developments in the ever-changing social media sector and explains fundamental interrelationships in this field. It describes a strategy model for the development of one’s own solutions, summarises the theories, methods and models of leading authors and shows their practical application, while also highlighting current developments and dealing with the topic of data processing in social media. An examination of the platform economy with its economic functions facilitates the classification of business models in social media. The book also shows how platforms and their algorithms can influence our actions and shape our opinions. With contributions by Prof. Karin Bjerregaard Schlüter, Andrea Braun, Franziska Geue, Tobias Knopf, Markus Korbien, Prof. Dr. Daniel Michelis, Stefan Pfaff, Thanh H. Pham, Tom Reichstein, Prof. Dr. Anna Riedel, Michael Sarbacher, Prof. Dr. Dr. Thomas Schildhauer, Prof. Dr. Hendrik Send, Dr. Stefan Stumpp, Prof. Dr. Sebastian Volkmann, Jan-Benedikt Weber, Julia Weißhaupt, Norman Wiebach und Prof. Dr. Christian Wissing.
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