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Error estimates when solving systems of nonlinear equations by the Monte Carlo method

โœ Scribed by V. V. Kleiza


Publisher
Springer
Year
1973
Tongue
English
Weight
253 KB
Volume
13
Category
Article
ISSN
0363-1672

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Statistical performance analysis of nonl
โœ James H. Taylor ๐Ÿ“‚ Article ๐Ÿ“… 1981 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 898 KB

Until the recent advent of extended covariance analysis utilizing quasi-linearization techniques, the only approach for assessing the performance of a nonlinear system with random inputs and initial conditions has been the monte carlo method. This method involves direct simulation, i.e., determining