✦ LIBER ✦

Combining the Monte-Carlo method with the extremum-search method in problems of optimizing stochastic systems

✍ Scribed by S. V. Shil'man

Book ID: 112463636
Publisher: Springer US
Year: 1971
Tongue: English
Weight: 418 KB
Volume: 14
Category: Article
ISSN: 0033-8443
DOI: 10.1007/bf01033241

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Successful Combination Of The Stochastic

Successful Combination Of The Stochastic Linearization And Monte Carlo Methods

✍ I. Elishakoff; P. Colombi 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 172 KB

Optimization of Kinoform Lenses with the

Optimization of Kinoform Lenses with the Monte Carlo Method

✍ Bokor, Nandor ;Papp, Zsolt 📂 Article 📅 1998 🏛 The Optical Society 🌐 English ⚖ 358 KB

Statistical performance analysis of nonl

Statistical performance analysis of nonlinear stochastic systems by the Monte Carlo method

✍ James H. Taylor 📂 Article 📅 1981 🏛 Elsevier Science 🌐 English ⚖ 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

Combination of the Monte Carlo method wi

Combination of the Monte Carlo method with the method of quickest descent in the solution of some extremal problems

✍ L.S. Gurin; V.P. Lobach 📂 Article 📅 1963 🏛 Elsevier Science ⚖ 240 KB

Searching normal solution of inverse vib

Searching normal solution of inverse vibrational problem by the method of Monte-Carlo

✍ G.M. Kuramshina; A.V. Lobanov; A.G. Yagola 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 290 KB

Improving the convergence of the Monte C

Improving the convergence of the Monte Carlo method in certain queueing problems

✍ I. Yu. Linnik 📂 Article 📅 1975 🏛 Springer US 🌐 English ⚖ 292 KB