It takes the average reader 5 hours and 44 minutes to read Stochastic Optimization Methods by Kurt Marti
Assuming a reading speed of 250 words per minute. Learn more
Optimization problems arising in practice involve random model parameters. For the computation of robust optimal solutions, i.e., optimal solutions being insenistive with respect to random parameter variations, appropriate deterministic substitute problems are needed. Based on the probability distribution of the random data, and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into appropriate deterministic substitute problems. Due to the occurring probabilities and expectations, approximative solution techniques must be applied. Several deterministic and stochastic approximation methods are provided: Taylor expansion methods, regression and response surface methods (RSM), probability inequalities, multiple linearization of survival/failure domains, discretization methods, convex approximation/deterministic descent directions/efficient points, stochastic approximation and gradient procedures, differentiation formulas for probabilities and expectations.
Stochastic Optimization Methods by Kurt Marti is 342 pages long, and a total of 86,184 words.
This makes it 115% the length of the average book. It also has 105% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 50 minutes to read Stochastic Optimization Methods aloud.
Stochastic Optimization Methods 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.
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