BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Advances in Sensitivity Analysis and Parametric Programming

Advances in Sensitivity Analysis and Parametric Programming

Advances in Sensitivity Analysis and Parametric Programming Paperback - 2012

by Tomas Gal (Editor); H. J. Greenberg (Editor)

Add to wish list
  • New
  • Paperback
New

Description

Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The standard view of Operations Research/Management Science (OR/MS) dichotomizes the field into deterministic and probabilistic (nondeterministic, stochastic) subfields. This division can be seen by reading the contents page of just abo
Ask the seller a question Add to wish list
A$471.46
A$15.42 Delivery to USA
Standard delivery: 7 to 12 days
More delivery options
Ships from Ria Christie Collections (Greater London, United Kingdom)
The BIBLIO Guarantee

Details

  • Title Advances in Sensitivity Analysis and Parametric Programming
  • Author Tomas Gal (Editor); H. J. Greenberg (Editor)
  • Binding Paperback
  • Edition Softcover reprin
  • Condition New
  • Pages 581
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2012-10-12
  • Bookseller's Inventory # ria9781461377962_inp
  • ISBN 9781461377962 / 146137796X
  • Weight 1.85 lbs (0.84 kg)
  • Dimensions 9.21 x 6.14 x 1.23 in (23.39 x 15.60 x 3.12 cm)
  • Category Mathematics
  • Dewey Decimal Code 519.7
  • Quantity available 1014

About Ria Christie Collections Greater London, United Kingdom

Specialising in: Books, Calendars, Fiction Books, Non- Fiction Books, Textbooks
Biblio member since 2014

Hello We are professional online booksellers. We sell mostly new books and textbooks and we do our best to provide a competitive price. We are based in Greater London, UK. We pride ourselves by providing a good customer service throughout, shipping the items quickly and replying to customer queries promptly. Ria Christie Collections

Terms of Sale:

30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Ria Christie Collections

Reader reviews for Advances in Sensitivity Analysis and Parametric Programming

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

The standard view of Operations Research/Management Science (OR/MS) dichotomizes the field into deterministic and probabilistic (nondeterministic, stochastic) subfields. This division can be seen by reading the contents page of just about any OR/MS textbook. The mathematical models that help to define OR/MS are usually presented in terms of one subfield or the other. This separation comes about somewhat artificially: academic courses are conveniently subdivided with respect to prerequisites; an initial overview of OR/MS can be presented without requiring knowledge of probability and statistics; text books are conveniently divided into two related semester courses, with deterministic models coming first; academics tend to specialize in one subfield or the other; and practitioners also tend to be expert in a single subfield. But, no matter who is involved in an OR/MS modeling situation (deterministic or probabilistic - academic or practitioner), it is clear that a proper and correct treatment of any problem situation is accomplished only when the analysis cuts across this dichotomy.

Please wait a moment while we load the requested page.

tracking-