ISBN: 9780444823564 - applications of markov chains in chemical engineering (8 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Elsevier Science, 1998

    0444823565 / 9780444823564

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    Zustand: very_good. This is a well-cared-for used book with light signs of previous use. There may be minor cover wear, a faint crease, or slight spine wear, but overall it's in great shape and fully readable. Please note: -May contain library or rental stickers. -Supplemental materials e.g., CDs, access codes, inserts are not guaranteed. -Box sets may not include original exterior box. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading. …

  • Sprache: Englisch

    Verlag: Elsevier Science, 1998

    0444823565 / 9780444823564

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  • Sprache: Englisch

    Verlag: Elsevier Science, 1998

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  • Sprache: Englisch

    Verlag: Elsevier Science, 1998

    0444823565 / 9780444823564

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  • Sprache: Englisch

    Verlag: Elsevier Science, 1998

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  • Sprache: Englisch

    Verlag: Elsevier Science, 1998

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    Zustand: New. Markov chains make it possible to predict the future state of a system from its present state ignoring its past history. Surprisingly, despite the widespread use of Markov chains in many areas of science and technology, their applications in chemical engine.

  • Sprache: Englisch

    Verlag: Elsevier Science & Technology, Elsevier Science, 1998

    0444823565 / 9780444823564

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    Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Markov chains make it possible to predict the future state of a system from its present state ignoring its past history. Surprisingly, despite the widespread use of Markov chains in many areas of science and technology, their applications in chemical engineering have been relatively meager. A possible reason for this phenomenon might be that books containing material on this subject have been written in such a way that the simplicity of Markov chains has been shadowed by the tedious mathematical derivations. Thus, the major objective of writing this book has been to try to change this situation.There are many advantages, detailed in Chapter 1, of using the discrete Markov-chain model in chemical engineering. Probably, the most important advantage is that physical models can be presented in a unified description via state vector and a one-step transition probability matrix. Consequently, a process is demonstrated solely by the probability of a system to occupy or not occupy a state.The book has been written in an easy and understandable form, where complex mathematical derivations are abandoned. The fundamentals of Markov chains are presented in Chapter 2 with examples from the bible, art and real life problems. An extremely wide collection is given of examples viz., reactions, reactors, reactions and reactors as well as combined processes, including their solution and a graphical presentation of it, all of which demonstrates the usefulness of applying Markov chains in chemical engineering. Englisch.…

  • Sprache: Englisch

    Verlag: Elsevier Science & Technology, Elsevier Science, 1998

    0444823565 / 9780444823564

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    Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Markov chains make it possible to predict the future state of a system from its present state ignoring its past history. Surprisingly, despite the widespread use of Markov chains in many areas of science and technology, their applications in chemical engineering have been relatively meager. A possible reason for this phenomenon might be that books containing material on this subject have been written in such a way that the simplicity of Markov chains has been shadowed by the tedious mathematical derivations. Thus, the major objective of writing this book has been to try to change this situation.There are many advantages, detailed in Chapter 1, of using the discrete Markov-chain model in chemical engineering. Probably, the most important advantage is that physical models can be presented in a unified description via state vector and a one-step transition probability matrix. Consequently, a process is demonstrated solely by the probability of a system to occupy or not occupy a state.The book has been written in an easy and understandable form, where complex mathematical derivations are abandoned. The fundamentals of Markov chains are presented in Chapter 2 with examples from the bible, art and real life problems. An extremely wide collection is given of examples viz., reactions, reactors, reactions and reactors as well as combined processes, including their solution and a graphical presentation of it, all of which demonstrates the usefulness of applying Markov chains in chemical engineering.…