Posted by **hill0** at Feb. 13, 2018

English | 26 Feb. 2017 | ISBN: 3319445901 | 452 Pages | EPUB | 1.82 MB

Posted by **hill0** at Feb. 13, 2018

English | 19 Dec. 2016 | ISBN: 3319433156 | 268 Pages | EPUB | 2.88 MB

Posted by **ksveta6** at Dec. 12, 2017

2014 | ISBN: 1408088401 | English | 672 pages | PDF | 11 MB

Posted by **hill0** at Nov. 7, 2017

English | 7 Dec. 2017 | ISBN: 3319690647 | 212 Pages | PDF | 3.66 MB

This book provides a detailed assessment of current approaches to transfer pricing in the context of small- and middle-sized enterprises (SMEs), including the newest update of Transfer Pricing Guidelines from 10 July 2017.

Posted by **interes** at Oct. 17, 2017

English | 2013 | ISBN: 1909287474 | ISBN-13: 9781909287471 | 894 pages | EPUB | 2 MB

Posted by **hill0** at Aug. 27, 2017

English | 22 May 2017 | ISBN: 3319503308 | 588 Pages | PDF | 5.7 MB

This is a complete update of the first edition of Level Crossing Methods in Stochastic Models, which was published in 2008. Level crossing methods are a set of sample-path based mathematical tools used in applied probability to establish reliable probability distributions.

Posted by **AvaxGenius** at June 29, 2017

English | PDF | 2018 | 1808 Pages | ISBN : 3319592793 | 66 MB

This book is organized in 2 volumes and 6 parts. Part I is Big Data Analytics, which is about new advances of analysis, statistics, coordination and data mining of big data; Part II is Information Systems Management, which is about the development of big data information system or cloud platform. Part III is Computing Methodology with Big Data, which is about the improvements of traditional computation technologies in the background of big data; Part IV is Uncertainty Decision Making, which is about the decision making methods with various uncertain information, such as fuzzy, random, rough, gray, unascertained. Part V is Intelligence Algorithm.

Posted by **hill0** at June 12, 2017

English | 28 Mar. 2017 | ISBN: 3319477641 | 584 Pages | PDF | 8.81 MB

This book presents classical Markov Decision Processes (MDP) for real-life applications and optimization. MDP allows users to develop and formally support approximate and simple decision rules, and this book showcases state-of-the-art applications in which MDP was key to the solution approach.

Posted by **roxul** at June 10, 2017

English | ISBN: 0132751917, 0273766406 | 2012 | 840 pages | PDF | 21 MB

Posted by **hill0** at May 29, 2017

English | 31 July 2015 | ISBN: 3319188410 | 562 Pages | PDF | 4.14 MB

This new edition covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve a problem.