How Long to Read Optimization Under Stochastic Uncertainty

How Long Does it Take to Read Optimization Under Stochastic Uncertainty?

It takes the average reader 6 hours and 30 minutes to read Optimization Under Stochastic Uncertainty by Kurt Marti

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

Description

This book examines application and methods to incorporating stochastic parameter variations into the optimization process to decrease expense in corrective measures. Basic types of deterministic substitute problems occurring mostly in practice involve i) minimization of the expected primary costs subject to expected recourse cost constraints (reliability constraints) and remaining deterministic constraints, e.g. box constraints, as well as ii) minimization of the expected total costs (costs of construction, design, recourse costs, etc.) subject to the remaining deterministic constraints. After an introduction into the theory of dynamic control systems with random parameters, the major control laws are described, as open-loop control, closed-loop, feedback control and open-loop feedback control, used for iterative construction of feedback controls. For approximate solution of optimization and control problems with random parameters and involving expected cost/loss-type objective, constraint functions, Taylor expansion procedures, and Homotopy methods are considered, Examples and applications to stochastic optimization of regulators are given. Moreover, for reliability-based analysis and optimal design problems, corresponding optimization-based limit state functions are constructed. Because of the complexity of concrete optimization/control problems and their lack of the mathematical regularity as required of Mathematical Programming (MP) techniques, other optimization techniques, like random search methods (RSM) became increasingly important. Basic results on the convergence and convergence rates of random search methods are presented. Moreover, for the improvement of the – sometimes very low – convergence rate of RSM, search methods based on optimal stochastic decision processes are presented. In order to improve the convergence behavior of RSM, the random search procedure is embedded into a stochastic decision process for an optimal control of the probability distributions of the search variates (mutation random variables).

How long is Optimization Under Stochastic Uncertainty?

Optimization Under Stochastic Uncertainty by Kurt Marti is 390 pages long, and a total of 97,500 words.

This makes it 132% the length of the average book. It also has 119% more words than the average book.

How Long Does it Take to Read Optimization Under Stochastic Uncertainty Aloud?

The average oral reading speed is 183 words per minute. This means it takes 8 hours and 52 minutes to read Optimization Under Stochastic Uncertainty aloud.

What Reading Level is Optimization Under Stochastic Uncertainty?

Optimization Under Stochastic Uncertainty 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 Optimization Under Stochastic Uncertainty?

Optimization Under Stochastic Uncertainty by Kurt Marti is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Optimization Under Stochastic Uncertainty by Kurt Marti on Amazon click the button below.