# e-Book Computational Probability and Simulation (Applied Mathematics) download

## by Sidney J. Yakowitz

**ISBN:**0201088932

**ISBN13:**978-0201088939

**Language:**English

**Publisher:**Addison-Wesley Educational Publishers Inc (July 7, 1977)

**Pages:**262

**Category:**Mathematics

**Subategory:**Math Science

**ePub size:**1481 kb

**Fb2 size:**1561 kb

**DJVU size:**1434 kb

**Rating:**4.7

**Votes:**789

**Other Formats:**azw txt doc mobi

Sidney J Yakowitz Computational probability and simulation (Applied mathematics and computation ; no. 12). ISBN 13: 9780201088922. Computational probability and simulation (Applied mathematics and computation ; no. Sidney J Yakowitz.

Yakowitz, Sidney J. Computational Probability and Simulation (Applied Mathematics). ISBN 13: 9780201088939.

Computational probability and simulation. Computational probability and simulation. by. Yakowitz, Sidney . 1937-. nd index, Probabilities, Digital computer simulation, Monte Carlo method. Addison-Wesley Pub. C. Advanced Book Program.

Computational Probability and Simulation book.

Computational Probability and Simulation by Yakowitz, Sidney J. Condition: Good.

It was established in 1975 and is published biweekly by Elsevier.

Computational & Applied Mathematics began to be published in 1981. This journal was conceived as the main scientific publication of the Brazilian Society of Computational and Applied Mathematics (SBMAC).

Coauthors & Alternates. Learn More at LibraryThing. Sidney J. Yakowitz at LibraryThing.

Obituary: Sidney Jesse Yakowitz - Volume 37 Issue 2 - J. Gani, Benjamin KedemĀ . Gani, Benjamin Kedem, Ferenc Szidarovszky. Please accept our apologies for any inconvenience caused. Mathematics of Adaptive Control Processes. Addison-Wesley, Reading, MA. Szidarovszky, . and Yakowitz, S. (1978).

Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modelingĀ .

Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. It can serve as a textbook for graduate students in applied mathematics, biostatistics, computational biology, computer science, physics, and statistics. Readers should have a working knowledge of multivariate calculus, linear algebra, ordinary differential equations, and elementary probability theory.

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**ISBN:**1441918094

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**language:**English

**Subcategory:**Mathematics

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