null
Loading... Please wait...
FREE SHIPPING on All Unbranded Items LEARN MORE
Print This Page

Numerical Methods and Optimization (An Introduction)

List Price: $140.99
SKU:
9781466577770
Quantity:
Minimum Purchase
25 unit(s)
  • Availability: Confirm prior to ordering
  • Branding: minimum 50 pieces (add’l costs below)
  • Check Freight Rates (branded products only)

Branding Options (v), Availability & Lead Times

  • 1-Color Imprint: $2.00 ea.
  • Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
  • Belly-Band Wrap: $2.50 ea. (full-color printed)
  • Set-Up Charge: $45 per decoration
FULL DETAILS
  • Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
  • Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
  • Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
  • RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
  • Product Details

    Author:
    Sergiy Butenko, Panos M. Pardalos
    Format:
    Hardcover
    Pages:
    414
    Publisher:
    CRC Press (March 11, 2014)
    Imprint:
    Chapman and Hall/CRC
    Language:
    English
    Audience:
    College/higher education
    ISBN-13:
    9781466577770
    Weight:
    25.25oz
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260903042155926-20260903.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $140.99
    Country of Origin:
    United States
    Pub Discount:
    30
    Series:
    Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
    Case Pack:
    20
    As low as:
    $133.94
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
  • Overview

    This book combines the materials from introductory numerical methods and introductory optimization courses into a single text. This classroom-tested approach enriches a standard numerical methods syllabus with optional chapters on numerical optimization and provides a valuable numerical methods background for students taking an introductory optimization or operations research course. The book includes some mathematical proofs as samples of rigorous analysis but in most cases, uses only examples to illustrate the concepts. A MATLAB® guide and code are available for download.