- We will send in 10–14 business days.
/images/books/12350719/9781839687594.jpg)
- Publisher: IntechOpen
- Year: 2022
- Pages: 234
- ISBN-10: 1839687592
- ISBN-13: 9781839687594
- Format: 17 x 24.4 x 1.4 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
The Monte Carlo Methods (e-book) (used book) | bookbook.eu
Reviews
Description
In applied mathematics, the name Monte Carlo is given to the method of solving problems by means of experiments with random numbers. This name, after the casino at Monaco, was first applied around 1944 to the method of solving deterministic problems by reformulating them in terms of a problem with random elements, which could then be solved by large-scale sampling. But, by extension, the term has come to mean any simulation that uses random numbers. Monte Carlo methods have become among the most fundamental techniques of simulation in modern science. This book is an illustration of the use of Monte Carlo methods applied to solve specific problems in mathematics, engineering, physics, statistics, and science in general.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 15d.22:55:13
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: IntechOpen
- Year: 2022
- Pages: 234
- ISBN-10: 1839687592
- ISBN-13: 9781839687594
- Format: 17 x 24.4 x 1.4 cm, hardcover
- Language: English English
In applied mathematics, the name Monte Carlo is given to the method of solving problems by means of experiments with random numbers. This name, after the casino at Monaco, was first applied around 1944 to the method of solving deterministic problems by reformulating them in terms of a problem with random elements, which could then be solved by large-scale sampling. But, by extension, the term has come to mean any simulation that uses random numbers. Monte Carlo methods have become among the most fundamental techniques of simulation in modern science. This book is an illustration of the use of Monte Carlo methods applied to solve specific problems in mathematics, engineering, physics, statistics, and science in general.
Reviews