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Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues Texts in Applied Mathematics, 31 Second Edition 2020
This thoroughly revised and augmented edition makes complex topics accessible to students and researchers across various fields.
Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues Texts in Applied Mathematics, 31 Second Edition 2020
Item #: 32598645

Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues Texts in Applied Mathematics, 31 Second Edition 2020

Item #: 32598645

ZAR 1451

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This thoroughly revised and augmented edition makes complex topics accessible to students and researchers across various fields.
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What Stands Out

Comprehensive Coverage
This second edition provides an in-depth exploration of Markov Chains, addressing complex theories and applications across various fields, appealing to students and professionals alike.
Practical Applications
Integrates Gibbs fields and Monte Carlo simulations into the discussion, enabling readers to apply theoretical concepts to real-world problems, enhancing practical understanding.
Updated Insights
Includes recent advancements and updated examples, ensuring that readers are equipped with the latest tools and methodologies in the study of queues and stochastic processes.

Product Details

Shop the latest edition of Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues Texts in Applied Mathematics on Ubuy South Africa. Discover the best deals and fast shipping worldwide.
Item Weight1.5 lbs (680 grams)

Who Should Buy?

Suitable For
  • Graduate Students

    Ideal for graduate students focusing on applied mathematics, providing foundational concepts and advanced techniques in Markov chains.

  • Researchers

    Useful for researchers in statistics or operations research looking to implement Monte Carlo simulations and queueing theory.

  • Data Scientists

    Data scientists will benefit from its applications in probabilistic modeling and simulation techniques relevant to machine learning.

Not Suitable For
  • Beginner Learners

    Not suited for beginners due to advanced mathematical concepts requiring prior knowledge of probability and statistical theory.

  • Casual Readers

    Those seeking light reading or casual insights into mathematics may find this text too technical and dense.

  • Non-Mathematicians

    Individuals without a strong mathematical background may struggle with the specialized terminology and complex theories presented.

Product Description

Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues Texts in Applied Mathematics, 31 Second Edition 2020

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Pros

  • Clear and comprehensive explanations
  • Great examples and exercises
  • Helpful for applied mathematics
  • Well-structured content

Cons

  • Some sections may be too advanced for beginners.

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