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Handbook on Semidefinite, Conic and Polynomial Optimization (Paperback, Softcover reprint of the original 1st ed. 2012)
Loot Price: R7,419
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Handbook on Semidefinite, Conic and Polynomial Optimization (Paperback, Softcover reprint of the original 1st ed. 2012)
Series: International Series in Operations Research & Management Science, 166
Expected to ship within 10 - 15 working days
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Semidefinite and conic optimization is a major and thriving
research area within the optimization community. Although
semidefinite optimization has been studied (under different names)
since at least the 1940s, its importance grew immensely during the
1990s after polynomial-time interior-point methods for linear
optimization were extended to solve semidefinite optimization
problems. Since the beginning of the 21st century, not only has
research into semidefinite and conic optimization continued
unabated, but also a fruitful interaction has developed with
algebraic geometry through the close connections between
semidefinite matrices and polynomial optimization. This has brought
about important new results and led to an even higher level of
research activity. This Handbook on Semidefinite, Conic and
Polynomial Optimization provides the reader with a snapshot of the
state-of-the-art in the growing and mutually enriching areas of
semidefinite optimization, conic optimization, and polynomial
optimization. It contains a compendium of the recent research
activity that has taken place in these thrilling areas, and will
appeal to doctoral students, young graduates, and experienced
researchers alike. The Handbook's thirty-one chapters are organized
into four parts: Theory, covering significant theoretical
developments as well as the interactions between conic optimization
and polynomial optimization; Algorithms, documenting the directions
of current algorithmic development; Software, providing an overview
of the state-of-the-art; Applications, dealing with the application
areas where semidefinite and conic optimization has made a
significant impact in recent years.
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