How Long to Read Bayesian and High-Dimensional Global Optimization: Bi-objective decisions and partition based methods in Bayesian global optimization

How Long Does it Take to Read Bayesian and High-Dimensional Global Optimization: Bi-objective decisions and partition based methods in Bayesian global optimization?

It takes the average reader to read Bayesian and High-Dimensional Global Optimization: Bi-objective decisions and partition based methods in Bayesian global optimization by Anatoly Zhigljavsky

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

Description

Accessible to a variety of readers, this book is of interest to specialists, graduate students and researchers in mathematics, optimization, computer science, operations research, management science, engineering and other applied areas interested in solving optimization problems. Basic principles, potential and boundaries of applicability of stochastic global optimization techniques are examined in this book. A variety of issues that face specialists in global optimization are explored, such as multidimensional spaces which are frequently ignored by researchers. The importance of precise interpretation of the mathematical results in assessments of optimization methods is demonstrated through examples of convergence in probability of random search. Methodological issues concerning construction and applicability of stochastic global optimization methods are discussed, including the one-step optimal average improvement method based on a statistical model of the objective function. A significant portion of this book is devoted to an analysis of high-dimensional global optimization problems and the so-called 'curse of dimensionality'. An examination of the three different classes of high-dimensional optimization problems, the geometry of high-dimensional balls and cubes, very slow convergence of global random search algorithms in large-dimensional problems , and poor uniformity of the uniformly distributed sequences of points are included in this book. .

How long is Bayesian and High-Dimensional Global Optimization: Bi-objective decisions and partition based methods in Bayesian global optimization?

Bayesian and High-Dimensional Global Optimization: Bi-objective decisions and partition based methods in Bayesian global optimization by Anatoly Zhigljavsky is 0 pages long, and a total of 0 words.

This makes it 0% the length of the average book. It also has 0% more words than the average book.

How Long Does it Take to Read Bayesian and High-Dimensional Global Optimization: Bi-objective decisions and partition based methods in Bayesian global optimization Aloud?

The average oral reading speed is 183 words per minute. This means it takes to read Bayesian and High-Dimensional Global Optimization: Bi-objective decisions and partition based methods in Bayesian global optimization aloud.

What Reading Level is Bayesian and High-Dimensional Global Optimization: Bi-objective decisions and partition based methods in Bayesian global optimization?

Bayesian and High-Dimensional Global Optimization: Bi-objective decisions and partition based methods in Bayesian global optimization is suitable for students ages 2 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.

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Where Can I Buy Bayesian and High-Dimensional Global Optimization: Bi-objective decisions and partition based methods in Bayesian global optimization?

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