220,40 €
259,29 €
-15% su kodu: ENG15
Markov Chains
Markov Chains
220,40 €
259,29 €
  • Išsiųsime per 12–18 d.d.
Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them. Starting with basic notions, this book leads progressively to advanced and recent topics in the field, allowing the reader to master the main aspects of the classical theory. This book also features: Numerous exercises with solutions as well as extended case studies. A detailed and rigorous presentation of Mar…
  • Leidėjas:
  • ISBN-10: 1118517075
  • ISBN-13: 9781118517079
  • Formatas: 15 x 22.9 x 1.8 cm, kieti viršeliai
  • Kalba: Anglų
  • Extra -15 % nuolaida šiai knygai su kodu: ENG15

Markov Chains (el. knyga) (skaityta knyga) | Graham | knygos.lt

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Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them. Starting with basic notions, this book leads progressively to advanced and recent topics in the field, allowing the reader to master the main aspects of the classical theory. This book also features:

  • Numerous exercises with solutions as well as extended case studies.
  • A detailed and rigorous presentation of Markov chains with discrete time and state space.
  • An appendix presenting probabilistic notions that are necessary to the reader, as well as giving more advanced measure-theoretic notions.
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EXTRA 15 % nuolaida su kodu: ENG15

220,40 €
259,29 €
Išsiųsime per 12–18 d.d.

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  • Autorius: Graham
  • Leidėjas:
  • ISBN-10: 1118517075
  • ISBN-13: 9781118517079
  • Formatas: 15 x 22.9 x 1.8 cm, kieti viršeliai
  • Kalba: Anglų Anglų

Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them. Starting with basic notions, this book leads progressively to advanced and recent topics in the field, allowing the reader to master the main aspects of the classical theory. This book also features:

  • Numerous exercises with solutions as well as extended case studies.
  • A detailed and rigorous presentation of Markov chains with discrete time and state space.
  • An appendix presenting probabilistic notions that are necessary to the reader, as well as giving more advanced measure-theoretic notions.

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