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The novel begins with the narrator focusing on an apartment sale in Paris, in which he innocently buys a famous book: Manon Lescaut, after he reads a curious inscription by Armand Duval. This not so innocent book links the tale’s lover to the actual person who will eventually tell the story.

Part of the allure of the novel lies in its description of minute details about the life of the notorious courtesan Marguerite Gautier: parties, theater life, lovers’ arrangements, life on the speed lane—all in graphic detail, to include not only the violent expectorations of the consumptive courtesan, but also the exhumation of her decayed body.

Dazzled by the heroine’s beauty, Armando Duval blindly falls in love with the ailing Marguerite, who perhaps foreseeing a short life loosely spends her patron’s fortunes with reckless abandon. As the most beautiful kept woman of her time in Paris, she has no shortage of rich lovers who compete to foot the bills for her extravagant life style.

Yet Armand, a young man from the provinces, with meager income, convinces her of his love, succeeding in making Marguerite his lover. An idyllic period ensues away from Paris, in the French country side, where the couple conquers a temporary happiness.

Temporary indeed, for that presages a most tragic end, an end which rather than a moral lesson the novel opens unanswerable questions as to innocence and guilt, family and society, givers versus takers, good versus evil—life and death.

Although the intrigues, overall plot, and denouement may be easy to guess, the narrating voices hold the story in complete suspense to the bitter end. The acts of both, helpers and principals, advance relentlessly as told by four different narrators: an unnamed voice (presumably the author’s), Armand Duval, Marguerite Gautier, and Juliet Duprat (a friend).

La Dame aux camellias is a timeless story that will continue to captivate readers for many generations to come.

• Sales Rank: #587939 in eBooks
• Published on: 2013-05-30
• Released on: 2013-05-30
• Format: Kindle eBook

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For undergraduate Operations Management courses.

A broad, practical introduction to operations, reinforced with an extensive collection of practice problems.

Operations Management presents a broad introduction to the field of operations in a realistic and practical manner, while offering the largest and most diverse collection of problems on the market. The problems found in this text also contain ample support—found in the book’s solved-problems, worked examples, and myomlab, Pearson’s new online homework and tutorial system—to help students complete and understand assignments even when they’re not in class. 

 

Note: This is the standalone book, if you want the book/access card order the ISBN below: 

 

0133130762 / 9780133130768 Operations Management Plus NEW MyOmLab with Pearson eText -- Access Card Package

Package consists of:   

013292062X / 9780132920629 NEW MyOMLab with Pearson eText -- Access Card -- for Operations Management

0132921146 / 9780132921145 Operations Management

• Sales Rank: #12465 in Books
• Published on: 2013-02-09
• Format: Unabridged
• Original language: English
• Number of items: 1
• Dimensions: 10.80" h x 1.30" w x 8.60" l, 4.25 pounds
• Binding: Hardcover
• 888 pages

About the Author
"Barry Render" is the Charles Harwood Distinguished Professor of Management Science at the Roy E. Crummer Graduate School of Business at Rollins College in Winter Park, Florida. He received his M.S. in Operations Research and his Ph.D. in Quantitative Analysis at the University of Cincinnati. He previously taught at George Washington University, the University of New Orleans, Boston University, and George Mason University, where he held the GM Foundation Professorship in Decision Sciences and was Chair of the Decision Science Department. Dr. Render has also worked in the aerospace industry for General Electric, McDonnell Douglas, and NASA.

Professor Render has co-authored ten textbooks with Prentice-Hall, including "Managerial Decision Modeling with Spreadsheets, Operations Management, Principles of Operations Management, Service Management, Introduction to Management Science," and "Cases and Readings in Management Science." His more than one hundred articles on a variety of management topics have appeared in "Decision Sciences, Production and Operations Management, Interfaces, Information and Management," the "Journal of Management Information Systems, Socio-Economic Planning Sciences," and "Operations Management Review," among others.

Dr. Render has also been honored as an AACSB Fellow and named as a Senior Fulbright Scholar in 1982 and again in 1993. He was twice vice-president of the Decision Science Institute Southeast Region and served as Software Review Editor for Decision Line from 1989 to 1995. He has also served as Editor of the "New York Times" Operations Management special issues from 1996 to 2001. Finally, Professor Render has been actively involved inconsulting for government agencies and for many corporations, including NASA; the FBI; the U.S. Navy; Fairfax County, Virginia; and C8zP Telephone.

He teaches operations management courses in Rollins College's MBA and Executive MBA programs. In 1995 he was named as that school's Professor of the Year, and in 1996 was selected by Roosevelt University to receive the St. Claire Drake Award for Outstanding Scholarship.

"Ralph Stair" has been Professor of Management Science at Florida State University for twenty years and is now entering its phased retirement program. He received a B.S. in Chemical Engineering from Purdue University and an MBA from Tulane University. Under the guidance of Ken Ramsing and Alan Eliason, he received his Ph.D. in operations management from the University of Oregon.

He has taught at the University of Oregon, the University of Washington, the University of New Orleans, and Florida State University. He has twice taught in Florida State University's Study Abroad Program in London. Over the years, his teaching has been concentrated in the areas of information systems, operations research, and operations management.

Dr. Stair is a member of several academic organizations, including the Decision Sciences Institute and INFORMS, and he regularly participates at national meetings. He has published numerous articles and books, including "Managerial Decision Modeling with Spreadsheets, Introduction to Management Science, Cases and Readings in Management Science, Production and Operations Management: A Self-Correction Approach, Fundamentals of Information Systems, Principles of Information Systems, Introduction to Information Systems, Computers in Today'sWorld, Principles of Data Processing, Learning to Live with Computers, Programming in BASIC, Essentials of BASIC Programming, Essentials of FORTRAN Programming, and Essentials of COBOL Programming."

Dr. Stair divides his time between Florida and Colorado. He enjoys skiing, biking, kayaking, and other outdoor activities.

"Michael E. Hanna" is Professor of Decision Sciences at the University of Houston-Clear Lake (UHCL).

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• Sales Rank: #8412567 in Books
• Published on: 1994
• Binding: Hardcover

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• Sales Rank: #1709951 in Books
• Brand: Brand: Living Language
• Published on: 2001-08-07
• Released on: 2001-08-07
• Formats: Abridged, Audiobook, Large Print, Unabridged
• Original language: English
• Number of items: 6
• Dimensions: 4.95" h x 1.00" w x 5.51" l, .60 pounds
• Binding: Audio CD

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• Sales Rank: #5732975 in Books
• Published on: 1985
• Binding: Paperback

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A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical algorithms. It emphasizes recurring themes in all statistical algorithms, including computation, assessment and verification, iteration, intuition, randomness, repetition and parallelization, and scalability. Unique in scope, the book reviews the upcoming challenge of scaling many of the established techniques to very large data sets and delves into systematic verification by demonstrating how to derive general classes of worst case inputs and emphasizing the importance of testing over a large number of different inputs.

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• Sales Rank: #1992432 in Books
• Published on: 2013-12-09
• Original language: English
• Number of items: 1
• Dimensions: 9.20" h x 1.20" w x 6.50" l, .0 pounds
• Binding: Hardcover
• 500 pages

Review

“My main take away is that these authors spend a lot of time thinking about issues that I never think about. They argue strongly that I, as a statistician, should think about them more, and I find their argument compelling. I certainly enjoyed the various flashes of insight into computation I had as I read their book. … The book’s case studies … are incredibly detailed and deep, far beyond the case studies typically used to illustrate these methods. … I greatly enjoyed the overall arc of the book and found it quite compelling. … a nice book to have on the shelf in case you find yourself suspicious about something computational, or want to find a case study illustrating some topic in computation.”
―Luke W. Miratrix, Journal of the American Statistical Association, March 2015

"… it provides the necessary skills to construct statistical algorithms and hence to contribute to statistical computing. And I wish I had the luxury to teach from Foundations of Statistical Algorithms to my graduate students … a rich book that should benefit a specific niche of statistical graduates and would-be-statisticians, namely those ready to engage into serious statistical programming. It should provide them with the necessary background, out of which they should develop their own tools."
―Christian Robert on his blog, February 2014

"The book is suitable for readers who not only want to understand current statistical algorithms, but also gain a deeper understanding of how the algorithms are constructed and how they operate. It is addressed first and foremost to students and lecturers teaching the foundations of statistical algorithms."
―Ivan Křivý, Zentralblatt MATH 1296

“… an invaluable resource on several levels. … For a student who wants to become a competent professional in data science, this monograph is an absolute must, with hard-to-find alternatives. For those who are established in the profession, it is a reference to a broad range of issues encountered in everyday practice. Liberally dispensed advice and insights will be particularly appreciated by the practically oriented reader.”
―Mathematical Reviews, June 2015

About the Author
Der Autor, Uwe Ligges, arbeitet am Lehrstuhl fA1/4r ComputergestA1/4tzte Statistik am Fachbereich der UniversitAt Dortmund. R Benutzern ist er u.a. bekannt als Editor der "R Help Desk" Kolumne von "R News," durch seine regelmAAigen und
zahlreichen Hilfeleistungen auf den Mailinglisten R-help und R-devel, als Autor des Pakets "scatterplot3d" und Entwickler der Schnittstelle "R-WinEdt," sowie als Maintainer der Windows-BinArversionen der auf CRAN erhAltlichen Pakete.

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Foundations of Statistical Algorithms: With References to R Packages (Chapman & Hall/CRC Computer Science & Data Analysis)By Claus Weihs PDF

Foundations of Statistical Algorithms: With References to R Packages (Chapman & Hall/CRC Computer Science & Data Analysis)By Claus Weihs PDF

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