Posted by **Underaglassmoon** at Aug. 11, 2017

Morgan & Claypool | English | 2017 | ISBN-10: 1681731436 | 160 pages | PDF | 3.08 mb

by Tobias Preusser (Author)

Posted by **ChrisRedfield** at Aug. 4, 2017

Published: 2012-02-10 | ISBN: 1441931546 | PDF | 375 pages | 8.47 MB

Posted by **ChrisRedfield** at Aug. 2, 2017

Published: 2016-07-15 | ISBN: 3319255878 | PDF | 657 pages | 11.96 MB

Posted by **AvaxGenius** at July 27, 2017

English | PDF | 2018 | 147 Pages| ISBN : 3658191198 | 1.53 MB

Alexander Hübl develops models for production planning and analyzes performance indicators to investigate production system behaviour. He extends existing literature by considering the uncertainty of customer required lead time and processing times as well as by increasing the complexity of multi-machine multi-items production models.

Posted by **AvaxGenius** at July 26, 2017

English | PDF | 2017 | 216 Pages | ISBN : 4431565744 | 2.49 MB

This book presents an elementary introduction to the theory of noncausal stochastic calculus that arises as a natural alternative to the standard theory of stochastic calculus founded in 1944 by Professor Kiyoshi Itô. As is generally known, Itô Calculus is essentially based on the "hypothesis of causality", asking random functions to be adapted to a natural filtration generated by Brownian motion or more generally by square integrable martingale.

Posted by **AvaxGenius** at July 25, 2017

English | PDF | 2011 | 194 Pages | ISBN : 3834814091 | 1.51 MB

Optimization problems involving uncertain data arise in many areas of industrial and economic applications. Stochastic programming provides a useful framework for modeling and solving optimization problems for which a probability distribution of the unknown parameters is available.

Posted by **ChrisRedfield** at July 24, 2017

Published: 2000-03-01 | ISBN: 0792377796, 1461369754 | PDF | 220 pages | 4.03 MB

Posted by **AvaxGenius** at July 23, 2017

The material of this book has been reworked and expanded with a lot more details and published in the author's 2014 book "Upper and Lower Bounds for Stochastic Processes" (Ergebnisse Vol. 60, ISBN 978-3-642-54074-5). This book is much easier to read and covers everything that is in "The Generic Chaining" book in a more detailed and comprehensible way.

Posted by **AvaxGenius** at July 23, 2017

English | EPUB | 2016 | 275 Pages | ISBN : 331945613X | 2.5 MB

Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martingales, and option pricing. One can only learn a subject by seeing it in action, so there are a large number of examples and more than 300 carefully chosen exercises to deepen the reader’s understanding.

Posted by **AvaxGenius** at July 23, 2017

English | PDF | 2006 | 226 Pages | ISBN : 8185931690 | 20.86 MB

In terms of pre-requisites, the book does not demand much. Although an exposure to elementary Probability Theory would help, it is by no means es- sential. Chapter 0 is meant to supply the necessary background in Probability. The only real pre-requisite is an exposure to undergraduate Linear Algebra and Calculus, and of course, the necessary motivation. We would like to highlight one interesting feature of the present book.