It takes the average reader 5 hours and 17 minutes to read Lagrange-type Functions in Constrained Non-Convex Optimization by Alexander M. Rubinov
Assuming a reading speed of 250 words per minute. Learn more
Lagrange and penalty function methods provide a powerful approach, both as a theoretical tool and a computational vehicle, for the study of constrained optimization problems. However, for a nonconvex constrained optimization problem, the classical Lagrange primal-dual method may fail to find a mini mum as a zero duality gap is not always guaranteed. A large penalty parameter is, in general, required for classical quadratic penalty functions in order that minima of penalty problems are a good approximation to those of the original constrained optimization problems. It is well-known that...
Lagrange-type Functions in Constrained Non-Convex Optimization by Alexander M. Rubinov is 308 pages long, and a total of 79,464 words.
This makes it 104% the length of the average book. It also has 97% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 14 minutes to read Lagrange-type Functions in Constrained Non-Convex Optimization aloud.
Lagrange-type Functions in Constrained Non-Convex Optimization is suitable for students ages 12 and up.
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