Kontakt
Kako nakupovati
Dostava
Svetovalec pri nakupu
Algorithms for Convex Optimization
Angleščina
106 b
Drugi so kupili tudi
In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.
O knjigi
Angleščina
Podarite to knjigo še danes
To je povsem preprosto
1 Dodajte knjigo v košarico in izberite dostavo kot darilo 2 V zameno vam bomo poslali kupon 3 Knjiga bo dostavljena na naslov obdarovancaMorda bi vas zanimalo tudi
/
Trda
77.01
€
/
Mehka
12.76
€
/
Mehka
12.76
€
/
Mehka
10.12
€
/
Mehka
23.50
€
/
Trda
194.47
€
/
Mehka
7.29
€