Posted by **tanas.olesya** at Jan. 18, 2016

English | 17 Mar. 1995 | ISBN: 0849385210 | 448 Pages | CHM | 14 MB

Cryptography is an outstanding book that covers all the major areas of cryptography in a readable, mathematically precise form. Several chapters deal with especially active areas of research and give the reader a quick introduction and overview of the basic results in the area.

Posted by **step778** at Sept. 10, 2013

2003 | pages: 755 | ISBN: 0130669431 | PDF | 17,8 mb

Posted by **bookwyrm** at Feb. 16, 2016

2005 | 616 Pages | ISBN: 1584885084 | scanned PDF | 23 MB

Posted by **hill0** at June 26, 2017

English | 13 Apr. 2017 | ISBN: 331952349X | 192 Pages | PDF | 6.72 MB

This book applies various theoretical tools to explore the advantages and disadvantages of performance management systems, the ways in which they can be improved, and the strategies through which they can be designed and integrated into the policy making process. By providing both theoretical insights and practical applications,

Posted by **roxul** at June 19, 2017

2009 | ISBN: 1596934476 | 257 pages | PDF | 1,6 MB

Posted by **libr** at June 13, 2017

English | 2006 | ISBN: 0849328977 | PDF | 528 pages | 6,7 MB

Posted by **AvaxGenius** at June 11, 2017

English | PDF | 2015 | 162 Pages | ISBN : 3319264923 | 5.75 MB

This book shows how common operation management methods and algorithms can be extended to deal with vague or imprecise information in decision-making problems. It describes how to combine decision trees, clustering, multi-attribute decision-making algorithms and Monte Carlo Simulation with the mathematical description of imprecise or vague information, and how to visualize such information.

Posted by **libr** at June 2, 2017

English | 2012 | ISBN: 1466625031 | ISBN-13: 9781466625037 | 312 pages | PDF | 14,3 MB

Posted by **roxul** at May 29, 2017

English | ISBN: 0470167742 | 2009 | 736 pages | Djvu | 14 MB

Posted by **AvaxGenius** at May 20, 2017

English | PDF | 2015 | 162 Pages | ISBN : 3319264923 | 5.75 MB

This book shows how common operation management methods and algorithms can be extended to deal with vague or imprecise information in decision-making problems. It describes how to combine decision trees, clustering, multi-attribute decision-making algorithms and Monte Carlo Simulation with the mathematical description of imprecise or vague information, and how to visualize such information. Moreover, it discusses a broad spectrum of real-life management problems including forecasting the apparent consumption of steel products, planning and scheduling of production processes, project portfolio selection and economic-risk estimation.