An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms
Series: Applied Optimization, Vol. 97
Snyman, Jan
2005, XX, 258 p.
Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.
You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.
(net)
price for USA
ISBN 978-0-387-24349-8
digitally watermarked, no DRM
Included Format: PDF
download immediately after purchase
Hardcover version
You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.
Standard shipping is free of charge for individual customers.
(net)
price for USA
ISBN 978-0-387-24348-1
free shipping for individuals worldwide
usually dispatched within 3 to 5 business days
Softcover (also known as softback) version.
You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.
Standard shipping is free of charge for individual customers.
(net)
price for USA
ISBN 978-0-387-29824-5
free shipping for individuals worldwide
usually dispatched within 3 to 5 business days
Audience
It is intended that this book be used in senior- to graduate-level semester courses in optimization, as offered in mathematics, engineering, computer science, and operations research departments, and also to be useful to practising professionals in the workplace.
Content Level » Research
Keywords » Mathematica - algorithms - linear optimization - optimization - programming
Related subjects » Applications - Computational Science & Engineering - Mathematics
Get alerted on new Springer publications in the subject area of Optimization.