How Long to Read Alternating Direction Method of Multipliers for Machine Learning

By Zhouchen Lin

How Long Does it Take to Read Alternating Direction Method of Multipliers for Machine Learning?

It takes the average reader 4 hours and 38 minutes to read Alternating Direction Method of Multipliers for Machine Learning by Zhouchen Lin

Assuming a reading speed of 250 words per minute. Learn more

Description

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.

How long is Alternating Direction Method of Multipliers for Machine Learning?

Alternating Direction Method of Multipliers for Machine Learning by Zhouchen Lin is 274 pages long, and a total of 69,596 words.

This makes it 92% the length of the average book. It also has 85% more words than the average book.

How Long Does it Take to Read Alternating Direction Method of Multipliers for Machine Learning Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 20 minutes to read Alternating Direction Method of Multipliers for Machine Learning aloud.

What Reading Level is Alternating Direction Method of Multipliers for Machine Learning?

Alternating Direction Method of Multipliers for Machine Learning is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Alternating Direction Method of Multipliers for Machine Learning?

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