Springer
Alternating Direction Method of Multipliers for Machine Learning
Lowest observed price
Prices at stores
1 offerPrices are the most recently observed prices. Check the current price, availability and delivery costs at the store.
Price history
1 price observationThe chart shows the lowest recorded product price on each observation day. Prices between observations have not been verified.
- Lowest observed
- €117.69
- Highest observed
- €117.69
- Latest history observation
Show price observation
| Price observed (Finnish time) | Price |
|---|---|
| €117.69 |
Product details
Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type of optimization problem, and the alternating direction method of multipliers (ADMM) is a commonly used algorithm to solve constrained problems, especially linearly constrained ones. Written by experts in machine learning and optimization, this is the first book providing a state-of-the-art review on ADMM under various scenarios, including deterministic and convex optimization, nonconvex optimization, stochastic optimization, and distributed optimization. Offering a rich blend of ideas, theories and proofs, the book is up-to-date and self-contained. It is an excellent reference book for users who are seeking a relatively universal algorithm for constrained problems. Graduate students or researchers can read it to grasp the frontiers of ADMM in machine learning in a short period of time.
- Brand
- Springer
- EAN / GTIN
- 9789811698408