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Springer Stochastic Modeling (Universitext) - Mathematics Text

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Description

Stochastic Modeling from the Universitext series by Springer offers a comprehensive approach to advanced mathematical topics. This text is organized into three coherent parts, covering material that is often missing from traditional textbooks. It provides graduate students in mathematics and applied sciences with the necessary tools and training to write and use programs for research purposes. Designed for practical application, the book includes 175 exercises that focus on real-world problems. These exercises span from classic probability theory to research-oriented problems based on numerical simulations. This resource helps learners bridge the gap between theoretical concepts and applied research through structured, hands-on practice.

Key Features

Includes 175 exercises that focus on solving real-world problems for practical application.

Covers a wide range of topics from classic probability theory to research-oriented numerical simulations.

Designed for graduate students in mathematics and applied sciences seeking research-level training.

Provides the tools and training needed to write and use programs for research purposes.

Part of the Springer Universitext series, offering material not widely covered in traditional textbooks.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
09 February 2017
Listed Since
20 October 2016

Barcode

No barcode data available

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