Protein informatics is a newer name for an already existing discipline. It encompasses the techniques used in bioinformatics and molecular modeling that are related to proteins. While bioinformatics is mainly concerned with the collection, organization, and analysis of biological data, molecular modeling is devoted to representation and manipulation of the structure of proteins.

Protein informatics requires substantial prerequisites on computer science, mathematics, and molecular biology. The approach chosen here, allows a direct and rapid grasp on the subject starting from basic knowledge of algorithm design, calculus, linear algebra, and probability theory.

An Introduction to Protein Informatics, a professional monograph will provide the reader a comprehensive introduction to the field of protein informatics. The text emphasizes mathematical and computational methods to tackle the central problems of alignment, phylogenetic reconstruction, and prediction and sampling of protein structure.

An Introduction to Protein Informatics is designed for a professional audience, composed of researchers and practitioners within bioinformatics, molecular modeling, algorithm design, optimization, and pattern recognition. This book is also suitable as a graduate-level text for students in computer science, mathematics, and biomedicine.

Sir Francis Crick would undoubtedly be at the front of the line ordering this fascinating book. Being one of the discoverers of DNA, he would be amazed at how his work has been applied to mankind's most important invention, the computer. In this excellent text, the reader is given a comprehensive introduction to the field of DNA computing. The book emphasizes computational methods to tackle central problems of DNA computing, such as controlling living cells, building patterns, and generating nanomachines. It also includes laboratory-scale human-operated models of computation, as well as a description of the first experiment of DNA computation conducted by Adleman in 1994.

In 1908, Vinzenz Bronzin, a professor of mathematics at the Accademia di Commercio e Nautica in Trieste, published a booklet in German entitled Theorie der Pramiengeschafte (Theory of Premium Contracts) which is an old type of option contract. Almost like Bachelier's now famous dissertation (1900), the work seems to have been forgotten shortly after it was published. However, almost every element of modern option pricing can be found in Bronzin's book. He derives option prices for an illustrative set of distributions, including the Normal. - This volume includes a reprint of the original German text, a translation, as well as an appreciation of Bronzin's work from various perspectives (economics, history of finance, sociology, economic history) including some details about the professional life and circumstances of the author. The book brings Bronzin's early work to light again and adds an almost forgotten piece of research to the theory of option pricing.

Sir Francis Crick would undoubtedly be at the front of the line ordering this fascinating book. Being one of the discoverers of DNA, he would be amazed at how his work has been applied to mankind's most important invention, the computer. In this excellent text, the reader is given a comprehensive introduction to the field of DNA computing. The book emphasizes computational methods to tackle central problems of DNA computing, such as controlling living cells, building patterns, and generating nanomachines. It also includes laboratory-scale human-operated models of computation, as well as a description of the first experiment of DNA computation conducted by Adleman in 1994.

In 1908, Vinzenz Bronzin, a professor of mathematics at the Accademia di Commercio e Nautica in Trieste, published a booklet in German entitled Theorie der Pramiengeschafte (Theory of Premium Contracts) which is an old type of option contract. Almost like Bachelier's now famous dissertation (1900), the work seems to have been forgotten shortly after it was published. However, almost every element of modern option pricing can be found in Bronzin's book. He derives option prices for an illustrative set of distributions, including the Normal. - This volume includes a reprint of the original German text, a translation, as well as an appreciation of Bronzin's work from various perspectives (economics, history of finance, sociology, economic history) including some details about the professional life and circumstances of the author. The book brings Bronzin's early work to light again and adds an almost forgotten piece of research to the theory of option pricing.

Die algebraische Codierungstheorie ist ein neues Teilgebiet der diskreten Mathematik, dessen Ergebnisse bei der sicheren Datenubermittlung angewandt werden. Das Buch stellt im ersten Teil ausfuhrlich die Grundlagen der algebraischen Codierungstheorie dar. Im zweiten Teil untersuchen die Autoren lineare Codes. Dabei legen sie besonderen Wert auf die Decodierung der behandelten Codes anhand eines effizienten Mehrheitsentscheidungsverfahrens.

Protein informatics is a newer name for an already existing discipline. It encompasses the techniques used in bioinformatics and molecular modeling that are related to proteins. While bioinformatics is mainly concerned with the collection, organization, and analysis of biological data, molecular modeling is devoted to representation and manipulation of the structure of proteins. Protein informatics requires substantial prerequisites on computer science, mathematics, and molecular biology. The approach chosen here, allows a direct and rapid grasp on the subject starting from basic knowledge of algorithm design, calculus, linear algebra, and probability theory. An Introduction to Protein Informatics, a professional monograph will provide the reader a comprehensive introduction to the field of protein informatics. The text emphasizes mathematical and computational methods to tackle the central problems of alignment, phylogenetic reconstruction, and prediction and sampling of protein structure. An Introduction to Protein Informatics is designed for a professional audience, composed of researchers and practitioners within bioinformatics, molecular modeling, algorithm design, optimization, and pattern recognition. This book is also suitable as a graduate-level text for students in computer science, mathematics, and biomedicine.

Im Mittelpunkt dieses essentials steht eine Einfuhrung in ein bekanntes statistisches Modell, das Hidden-Markov-Modell.Damit koennen Probleme bewaltigt werden, bei denen aus einer Folge von Beobachtungen auf die wahrscheinlichste zustandsspezifische Beschreibung geschlossen werden soll.Die Anwendungen des Hidden-Markov-Modells liegen hauptsachlich in den Bereichen Bioinformatik, Computerlinguistik, maschinelles Lernen und Signalverarbeitung.In diesem Buchlein werden die beiden zentralen Problemstellungen in HMMs behandelt.Das Problem der Inferenz wird mit dem beruhmten Viterbi-Algorithmus geloest, und das Problem der Parameterschatzung wird mit zwei bekannten Methoden angegangen (Erwartungsmaximierung und Baum-Welch).

In diesem essential werden wesentliche Konzepte der Berechenbarkeitstheorie eroertert. Zunachst werden unterschiedliche Modelle der Berechenbarkeit eingefuhrt und ihre semantische Gleichwertigkeit gezeigt. Dieses Resultat steht in Einklang mit der Church-Turing-These, nach der jede intuitiv berechenbare Funktion partiell-rekursiv ist. Neben zentralen Instrumenten der Berechenbarkeit, wie etwa der Goedelisierung von berechenbaren Funktionen und der Existenz universeller berechenbarer Funktionen, stehen unentscheidbare Probleme im Fokus, wie etwa das Halteproblem sowie das Wortproblem fur die Term-Ersetzung. Semi-entscheidbare Mengen werden beleuchtet und die zentralen Satze von Rice und Rice-Shapiro werden skizziert.

Yvonne Seiler erortert im Rahmen einer empirischen Analyse den Zusammenhang zwischen Konsum, Dividenden und Marktkapitalisierung mittels Kointegration und zeigt so eine gegenuber den herkommlich verwendeten Methoden alternative Sichtweise auf.

Die State-Preference-Theorie bildet eine ideale analytische Basis zum Verstandnis der oekonomischen Struktur moderner Kapitalmarktmodelle. Dieses Buch zeigt, wie ein einfaches State-Preference-Modell herangezogen werden kann, um die Bedingungen des Kapitalmarktgleichgewichts in diskreter und stetiger Zeit zu analysieren. Es handelt sich hierbei um einen einfuhrenden Text, der zwar auf Mathematik und Statistik nicht verzichten kann, bei welchem allerdings oekonomische UEberlegungen einen ebenso breiten Raum einnehmen. Das Buch schliesst damit eine Lucke zwischen volkswirtschaftlichen, finanzmarkttheoretischen und auf stochastische Fragen ausgerichteten Lehrtexten.

All human activity, whatever the size of the community-whether in business, the family, schools, or politics-is group activity. Such group activity depends upon the ability of human beings to work together consciously in language. Speaking, Listening, Understanding is a book about group conversations, especially those intended to arrive at decisions and/or insights. Various types of conversations are described. In the process, we learn how individual participants, context, and mood can affect the overall process, Exercises, both group and individual, are provided for different kinds of conversations. Rather than the dynamics of group psychology, however, the author starts from the artistic aspects of conversation: namely, language and consciousness. Using examples and anectdotes drawn from many years of work with groups, Zimmermann shows in a straightforward way what can go wrong and why. Then, through a step-by-step articulation of the processes involved in conversation-speaking, listening, and understanding-he shows what kinds of awareness an practices can strengthen the group processes that facilitate creative conversation. This is a valuable resource for any group or community, and it is directed especially toward Waldorf school communities.