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The Monte-Carlo Method (Little Mathematics Library) | I. M. Sobol

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The Monte-Carlo Method (Little Mathematics Library)
Original Title The Monte-Carlo Method (Little Mathematics Library)
Author I. M. Sobol
Publication date

Topics little mathematics library, mathematics, mir publishers, statistics, monte carlo method, numbers, probability, proofs, pseudo random, public lectures in mathematics, random, simulations, variables
Publisher Mir Publishers
Collection mir-titles, additional_collections
Contributor Mirtitles
Language English
Book Type EBook
Material Type Book
File Type PDF
Downloadable Yes
Support Mobile, Desktop, Tablet
Scan Quality: Best No watermark
PDF Quality: Good
Availability Yes
Price 0.00
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mirtitles
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Everybody had at some moment used the words âprobabilityâ
and ârandom variableâ. The intuitive idea of the probability (considered as frequency) corresponds more or less to the true meaning of this concept. But as a rule the intuitive idea of the random variable differs quite considerably from the mathematical definition. Thus, the notion of the probability is assumed known in Sec. 2, and only the more complicated notion of the random variable is clarified. This section cannot replace a course in the probability
theory: the presentation is simplified and proofs are omitted.
But it still presents certain concept of the random variables sufficient for understanding of Monte Carlo techniques.

The basic aim of this book is to prompt the specialists in various branches of knowledge to the fact that there are problems in their fields that can be solved by the Monte Carlo method.

The Monte-Carlo Method (Little Mathematics Library)
      
 | I. M. Sobol
The Monte-Carlo Method (Little Mathematics Library) | I. M. Sobol
The Monte-Carlo Method (Little Mathematics Library) Original Title The Monte-Carlo Method
The Monte-Carlo Method (Little Mathematics Library)
      
 | I. M. Sobol
The Monte-Carlo Method (Little Mathematics Library) | I. M. Sobol
The Monte-Carlo Method (Little Mathematics Library) Original Title The Monte-Carlo Method
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