Springer
Convex and Stochastic Optimization (English, J. Frédéric Bonnans)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9783030149765 |
| ISBN-10 | 3030149765 |
| Author | J. Frédéric Bonnans |
Product Description
About the Book
This textbook provides an introduction to convex duality for optimization problems in Banach spaces, integration theory, and their application to stochastic programming problems in a static or dynamic setting. It introduces and analyses the main algorithms for stochastic programs, while the theoretical aspects are carefully dealt with. The reader is shown how these tools can be applied to various fields, including approximation theory, semidefini…
ISBN: 9783030149765
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Convex and Stochastic Optimization
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Beginners and newcomers to the subject, as well as curious general readers.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Is Convex and Stochastic Optimization available in English?
Convex and Stochastic Optimization is available in English on GlowMirror.
Who is the author of Convex and Stochastic Optimization?
Convex and Stochastic Optimization is authored by J. Frédéric Bonnans.
Who published Convex and Stochastic Optimization?
Convex and Stochastic Optimization is published by Springer.
How many pages does Convex and Stochastic Optimization have?
Page count information for Convex and Stochastic Optimization is available in the specifications section of this page.
How long does it take to read Convex and Stochastic Optimization?
At an average reading speed of 250 words per minute, reading Convex and Stochastic Optimization takes a few hours to a few days depending on reading pace.
What is Convex and Stochastic Optimization about?
About the Book
This textbook provides an introduction to convex duality for optimization problems in Banach spaces, integration theory, and their application to stochastic programming problems in a static or dynamic setting. It introduces and analyses the main algorithms for stochastic programs, w...
Is Convex and Stochastic Optimization suitable for beginners?
Whether Convex and Stochastic Optimization is suitable for beginners depends on your background in Springer. Review the product description and specifications above for details on the target audience and difficulty level.
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Convex and Stochastic Optimization is from the Springer edition/year. Check the specifications section for full edition details.
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