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Published **1979**
by Wiley in New York .

Written in English

- Chemometrics.,
- Information theory in chemistry.

**Edition Notes**

Statement | Karel Eckschlager, Vladimír Štěpánek. |

Series | Chemical analysis ;, v. 53 |

Contributions | Štěpánek, Vladimír, joint author. |

Classifications | |
---|---|

LC Classifications | QD75.3 .E36 |

The Physical Object | |

Pagination | xv, 186 p. : |

Number of Pages | 186 |

ID Numbers | |

Open Library | OL4400544M |

ISBN 10 | 047104945X |

LC Control Number | 79001405 |

Buy Information Theory as Applied to Chemical Analysis by K. Eckschlager, Vladimir Stepanek from Waterstones today! Click and Collect from your local Waterstones or get FREE UK delivery on orders over £Pages: This book is devoted to the theory of probabilistic information measures and their application to coding theorems for information sources and noisy channels. The eventual goal is a general development of Shannon’s mathematical theory of communication, but much File Size: 1MB. The subjects of stochastic processes, information theory, and Lie groups are usually treated separately from each other. This unique two-volume set presents these topics in a unified setting, thereby building bridges between fields that are rarely studied by the same people. Unlike the manyBrand: Birkhäuser Basel. The aim of the book is to explain the subject, clarify important studies, and compare and develop new and groundbreaking applications. It focuses on recent and future trends in analytical methods and provides an overview of analytical chemistry. Author (s): Muharrem Ince and Olcay Kaplan Ince.

Machine learning enables computers to address problems by learning from data. Deep learning is a type of machine learning that uses a hierarchical recombination of features to extract pertinent information and then learn the patterns represented in the data. Over the last eight years, its abilities have increasingly been applied to a wide variety of chemical challenges, from improving. book_tem /7/27 page 5 Optimization Applications in Chemical Engineering 5 resulting convex QP can also be solved in a ﬁnite number of steps. While QP models are generally not as large or widely applied as LP models, a number of solution strategies have been created to solve large-scale QPs very efﬁciently. These problem classes are. Information theory studies the quantification, storage, and communication of was originally proposed by Claude Shannon in to find fundamental limits on signal processing and communication operations such as data compression, in a landmark paper titled "A Mathematical Theory of Communication".The field is at the intersection of probability theory, statistics, computer. In information theory, the entropy of a random variable is the average level of "information", "surprise", or "uncertainty" inherent in the variable's possible outcomes. The concept of information entropy was introduced by Claude Shannon in his paper "A Mathematical Theory of Communication". As an example, consider a biased coin with probability p of landing on heads and probability 1-p.

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