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Matériel obligatoire et recommandé
Modern Optimization Methods
Éditeur : EDP Sciences
ISBN numérique PDF: 9782759831753
Parution : 2023
Catégorisation :
Livres numériques /
Autre /
Autre /
Autre.
Formats disponibles
| Format | Qté. disp. | Prix* | Commander |
|---|---|---|---|
| Numérique PDF Protection filigrane*** |
Illimité | Prix : 114,99 $ |
*Les prix sont en dollars canadien. Taxes et frais de livraison en sus.
***Ce produit est protégé en vertu des droits d'auteurs.
Description
With the fast development of big data and artificial intelligence, a natural question is how do we analyze data more efficiently? One of the efficient ways is to use optimization. What is optimization? Optimization exists everywhere. People optimize. As long as you have choices, you do optimization. Optimization is the key of operations research. This book introduces the basic definitions and theory about numerical optimization, including optimality conditions for unconstrained and constrained optimization, as well as algorithms for unconstrained and constrained problems. Moreover, it also includes the nonsmooth Newton’s method, which plays an important role in large-scale numerical optimization. Finally, based on the author’s research experiences, several latest applications about optimization are introduced, including optimization algorithms for hypergraph matching, support vector machine and bilevel optimization approach for hyperparameter selection in machine learning. With these optimization tools, one can deal with data more efficiently.