How Long to Read General-Purpose Optimization Through Information Maximization

How Long Does it Take to Read General-Purpose Optimization Through Information Maximization?

It takes the average reader 9 hours and 23 minutes to read General-Purpose Optimization Through Information Maximization by Alan J. Lockett

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

Description

This book examines the mismatch between discrete programs, which lie at the center of modern applied mathematics, and the continuous space phenomena they simulate. The author considers whether we can imagine continuous spaces of programs, and asks what the structure of such spaces would be and how they would be constituted. He proposes a functional analysis of program spaces focused through the lens of iterative optimization. The author begins with the observation that optimization methods such as Genetic Algorithms, Evolution Strategies, and Particle Swarm Optimization can be analyzed as Estimation of Distributions Algorithms (EDAs) in that they can be formulated as conditional probability distributions. The probabilities themselves are mathematical objects that can be compared and operated on, and thus many methods in Evolutionary Computation can be placed in a shared vector space and analyzed using techniques of functional analysis. The core ideas of this book expand from that concept, eventually incorporating all iterative stochastic search methods, including gradient-based methods. Inspired by work on Randomized Search Heuristics, the author covers all iterative optimization methods and not just evolutionary methods. The No Free Lunch Theorem is viewed as a useful introduction to the broader field of analysis that comes from developing a shared mathematical space for optimization algorithms. The author brings in intuitions from several branches of mathematics such as topology, probability theory, and stochastic processes and provides substantial background material to make the work as self-contained as possible. The book will be valuable for researchers in the areas of global optimization, machine learning, evolutionary theory, and control theory.

How long is General-Purpose Optimization Through Information Maximization?

General-Purpose Optimization Through Information Maximization by Alan J. Lockett is 561 pages long, and a total of 140,811 words.

This makes it 189% the length of the average book. It also has 172% more words than the average book.

How Long Does it Take to Read General-Purpose Optimization Through Information Maximization Aloud?

The average oral reading speed is 183 words per minute. This means it takes 12 hours and 49 minutes to read General-Purpose Optimization Through Information Maximization aloud.

What Reading Level is General-Purpose Optimization Through Information Maximization?

General-Purpose Optimization Through Information Maximization 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 General-Purpose Optimization Through Information Maximization?

General-Purpose Optimization Through Information Maximization by Alan J. Lockett is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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