Skip to content
Register Sign in Wishlist
Semidefinite Optimization and Convex Algebraic Geometry

Semidefinite Optimization and Convex Algebraic Geometry

$150.00 (P)

Part of MPS-SIAM Series on Optimization

Grigoriy Blekherman, Pablo A. Parrilo, Rekha R. Thomas, Philipp Rostalski, Bernd Sturmfels, Jiawang Nie, João Gouveia, J. William Helton, Igor Klep, Scott McCullough, Mihai Putinar
View all contributors
  • Date Published: March 2013
  • availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
  • format: Paperback
  • isbn: 9781611972283

$ 150.00 (P)
Paperback

This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Unavailable Add to wishlist

Looking for an examination copy?

If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact collegesales@cambridge.org providing details of the course you are teaching.

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • This book provides a self-contained, accessible introduction to the mathematical advances and challenges resulting from the use of semidefinite programming in polynomial optimization. This important and highly applicable research area with contributions from convex geometry, algebraic geometry, and optimization is known as convex algebraic geometry. Each chapter addresses a fundamental aspect of the topic, beginning with an introduction to nonnegative polynomials and sums of squares, and their connections to semidefinite programming. The material quickly advances to areas at the forefront of current research, including semidefinite representability of convex sets, duality theory in algebraic geometry, and nontraditional topics such as sums of squares of complex forms. The book is a suitable entry point to the subject for readers at the graduate level or above in mathematics, engineering or computer science. Instructors will find the book appropriate for a class or seminar, and researchers will encounter open problems and new research directions.

    • An accessible introduction to a powerful and quickly evolving area of optimization
    • Suitable for a class or seminar course, with exercises aimed at aiding beginners' understanding of the topic
    • A guide to the necessary background material is provided in an appendix
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: March 2013
    • format: Paperback
    • isbn: 9781611972283
    • length: 495 pages
    • dimensions: 254 x 177 x 24 mm
    • weight: 0.89kg
    • availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
  • Table of Contents

    List of contributors
    List of figures
    Preface
    List of notation
    1. What is convex algebraic geometry? Grigoriy Blekherman, Pablo A. Parrilo and Rekha R. Thomas
    2. Semidefinite optimization Pablo A. Parrilo
    3. Polynomial optimization, sums of squares, and applications Pablo A. Parrilo
    4. Nonnegative polynomials and sums of squares Grigoriy Blekherman
    5. Dualities Philipp Rostalski and Bernd Sturmfels
    6. Semidefinite representability Jiawang Nie
    7. Convex hulls of algebraic sets João Gouveia and Rekha R. Thomas
    8. Free convexity J. William Helton, Igor Klep and Scott McCullough
    9. Sums of Hermitian squares: old and new Mihai Putinar
    Appendix A. Background material Grigoriy Blekherman, Pablo A. Parrilo and Rekha R. Thomas
    Index.

  • Editors

    Grigoriy Blekherman, Georgia Institute of Technology
    Grigoriy Blekherman is an assistant professor at Georgia Institute of Technology and a 2012 recipient of the Sloan Research Fellowship. His research interests lie at the intersection of convex and algebraic geometry.

    Pablo A. Parrilo, Massachusetts Institute of Technology
    Pablo A. Parrilo is a Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. He has received the SIAG/CST Prize and the IEEE Antonio Ruberti Young Researcher Prize. His research interests include mathematical optimization, systems and control theory, and computational methods for engineering applications.

    Rekha Thomas, University of Washington
    Rekha R. Thomas is a Professor of Mathematics at the University of Washington. Her research interests are in optimization and computational algebra.

    Contributors

    Grigoriy Blekherman, Pablo A. Parrilo, Rekha R. Thomas, Philipp Rostalski, Bernd Sturmfels, Jiawang Nie, João Gouveia, J. William Helton, Igor Klep, Scott McCullough, Mihai Putinar

Related Books

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×
warning icon

Turn stock notifications on?

You must be signed in to your Cambridge account to turn product stock notifications on or off.

Sign in Create a Cambridge account arrow icon
×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×