It takes the average reader 5 hours and 20 minutes to read Introduction to Unconstrained Optimization with R by Shashi Kant Mishra
Assuming a reading speed of 250 words per minute. Learn more
This book discusses unconstrained optimization with R—a free, open-source computing environment, which works on several platforms, including Windows, Linux, and macOS. The book highlights methods such as the steepest descent method, Newton method, conjugate direction method, conjugate gradient methods, quasi-Newton methods, rank one correction formula, DFP method, BFGS method and their algorithms, convergence analysis, and proofs. Each method is accompanied by worked examples and R scripts. To help readers apply these methods in real-world situations, the book features a set of exercises at the end of each chapter. Primarily intended for graduate students of applied mathematics, operations research and statistics, it is also useful for students of mathematics, engineering, management, economics, and agriculture.
Introduction to Unconstrained Optimization with R by Shashi Kant Mishra is 309 pages long, and a total of 80,031 words.
This makes it 104% the length of the average book. It also has 98% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 17 minutes to read Introduction to Unconstrained Optimization with R aloud.
Introduction to Unconstrained Optimization with R 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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