From XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX@xmr3.com Thu Sep 24 07:07:18 2009 Return-Path: Received: from memailout30.messagereach.com (memailout30.messagereach.com [205.183.255.160]) by smtp.XXXXXXX.XXX (8.14.3/8.14.3) with ESMTP id n8OE7HrU002975 for ; Thu, 24 Sep 2009 07:07:18 -0700 Received: from [205.183.255.228] ([205.183.255.228:35077] helo=memailoutr5.messagereach.com) by mrmailout2.xpedite.com (envelope-from ) (ecelerity 2.2.2.43 r(32041/32483)) with ESMTP id 94/9C-07424-51D7BBA4; Thu, 24 Sep 2009 10:07:17 -0400 Date: Thu, 24 Sep 2009 10:07:17 -0400 To: XXX@XXXXXXX.XXX From: Mathematics Books from Elsevier Subject: Markov Processes for Stochastic Modeling Mime-Version: 1.0 Message-Id: Content-Type: multipart/alternative; boundary=MEboundary-2323101-6-1253741357 X-xsi-job: 2323101 X-xsi-user-id: mdr083 X-xsi-domain: usme X-Proofpoint-Virus-Version: vendor=fsecure engine=1.12.8161:2.4.5,1.2.40,4.0.166 definitions=2009-09-24_17:2009-09-22,2009-09-24,2009-09-24 signatures=0 X-Proofpoint-Spam-Details: rule=notspam policy=default score=0 spamscore=0 ipscore=0 phishscore=0 bulkscore=100 adultscore=0 classifier=spam adjust=0 reason=mlx engine=5.0.0-0908210000 definitions=main-0909240072 --MEboundary-2323101-6-1253741357 Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: 7bit To display this email in a browser, please click here: http://pull.xmr3.com/p/XXXXXXXXX/XXXXXXXX/clickto1_XXXXXXXXXXXXXXXXXXXXXXXXXXXXX.html --------------------------------------------------------------------------- http://pull.xmr3.com/p/XXXXXXXXX/XXXXXXXX/clickto2_XXXXXXXXXXXXXXXXXXXXXXXXXXXXX.html Now Available for TEXTBOOK REVIEW Markov Processes for Stochastic Modeling http://pull.xmr3.com/p/XXXXXXXXX/XXXXXXXX/clickto4_ks.elsevier.com-XXXXXXXXXXXXX.html Oliver C. Ibe University of Massachusetts, Lowell Available, Hardcover, 512 pp ISBN: 978-0-12-374451-7 List Price: $ 89.95 "This is a great textbook for a class with students from different (majors) ... examples make this book valuable." - Liqing Yan, University of Florida About: Markov Processes for Stochastic Modeling http://pull.xmr3.com/p/XXXXXXXXX/XXXXXXXX/clickto5_ks.elsevier.com-XXXXXXXXXXXXX.html is written for upper-level undergraduate and graduate students in engineering, science and business. It offers a unified presentation of the different Markovian models that - until now - were individually scattered across many books. By combining the theory and applications of the many different types of models and processes, this innovative textbook provides students and professors with a flexible and comprehensive resource in and out of the classroom. Features: * Practical, current applications of Markov processes * Level and amount of theory necessary for students to understand the subject * End-of-chapter exercises Coverage of HMM, Point Processes and Monte Carlo * Algorithmic testing by Maple available * Student solutions and instructors solutions manual available * Algorithmic testing by Maple available * Student solutions and instructors solutions manual available *Maple T.A., 4.0 - is an easy-to-use web-based system for creating tests and assignments, automatically assessing student responses and performance. It supports complex, free-form entry of mathematical equations and intelligent evaluation of responses, making it ideal for mathematics, science, or any course that requires mathematics. For More Information visit: http://pull.xmr3.com/p/XXXXXXXXX/XXXXXXXX/clickto6_ducts-mapleta-Demo-index.aspx.html Contents: Preface Acknowledgement Chapter 1: Basic Concepts Chapter 2: Introduction to Markov Processes Chapter 3: Discrete-Time Markov Chains Chapter 4: Continuous-Time Markov Chains Chapter 5: Markovian Queueing Systems Chapter 6: Markov Renewal Processes Chapter 7: Markovian Arrival Processes Chapter 8: Random Walk Chapter 9: Brownian Motion and Diffusion Processes Chapter 10: Controlled Markov Processes Chapter 11: Hidden Markov Processes Chapter 12: Markov Random Fields Chapter 13: Markov Point Processes Chapter 14: Markov Chain - Monte Carlo References Index Register to request your exam copy TODAY at http://pull.xmr3.com/p/XXXXXXXXX/XXXXXXXX/http-textbooks.elsevier.com-.html or for more information about this and other mathematics and statistics textbooks, visit our website at http://pull.xmr3.com/p/XXXXXXXXX/XXXXXXXX/clickto8_lsevierdirect.com-mathematics.html http://pull.xmr3.com/p/XXXXXXXXX/XXXXXXXX/clickto9_XXXXXXXXXXXXXXXXXXXXXXXXXXXXX.html Mathematics Books from Elsevier 525 B Street, Suite 1900 San Diego, CA 92101 This is a commercial message. --------------------------------------------------- If you would prefer not to receive further messages from this sender, please click on the following link and confirm your request: mailto:XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX@xmr3.com You will receive one additional e-mail message confirming your removal. --MEboundary-2323101-6-1253741357 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable   =20 <= TD>=20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20 =20
 
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Markov Processes for Stochastic Modeling
  

Oliver C. Ibe
University of Massachusetts, Lowell



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Available, Hardcover, 512 pp
ISBN: 978-0-12-374451-7
List Price: $ 89.95

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 "This is a great textbook for a class with students from differe= nt (majors) ... examples make this book valuable."
- Liqing Yan, University o= f Florida

&nb= sp;   About:
Markov Processes for Stoch= astic Modeling&nb= sp;is written for upper-level undergraduate and graduate students in eng= ineering, science and business. It offers a unified presentation of the = different Markovian models that - until now - were individually scattere= d across many books. By combining the theory and applications of the man= y different types of models and processes, this innovative textbook prov= ides students and professors with a flexible and comprehensive resource = in and out of the classroom.
Features:
    =20
  • Practical, current applications of Markov processes=20
  • Level and amount of theory necessary for students to understand the = subject=20
  • End-of-chapter exercises Coverage of HMM, Point Processes and Monte = Carlo=20
  • Algorithmic testing by Maple available*=20
  • Student solutions and instructors solutions manual available
  • =20

    *Maple T.A., 4.0 - is an easy-to-use = web-based system for creating tests and assignments, automatically asses= sing student responses and performance. It supports complex, free-form e= ntry of mathematical equations and intelligent evaluation of responses, = making it ideal for mathematics, science, or any course that requires ma= thematics.

    =20

    For More Information visit: http://www.maplesoft.com/products/= mapleta/Demo/index.aspx

=20

&nb= sp;Contents:

<= /TD>
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Preface Acknowledgement
Chapter   1: Basic Concepts
Chapter   2: Introduction to Markov Processes
Chapter   3: Discrete-Time Markov Chains
Chapter   4: Continuous-Time Markov Chains
Chapter   5: Markovian Queueing Systems
Chapter   6: Markov Renewal Processes
Chapter   7: Markovian Arrival Processes
Chapter   8: Random Walk
Chapter   9: Brownian Motion and Diffusion Processes
Chapter 10: Controlled Markov Processes
Chapter 11: Hidden Markov Processes
Chapter 12: Markov Random Fields
Chapter 13: Markov Point Processes
Chapter 14: Markov Chain - Monte Carlo
References
Index

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Register to request your exam copy TODAY at
 
http= ://textbooks.elsevier.com or
for more information about this and other mathematics and statistics tex= tbooks,
visit our website at
elsevierdirect.com/mathematics

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Mathematics Books from Elsevier
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