Decision Science is the discipline that is concerned with the development and applications of quantitative methods and techniques to support decision making processes. This book discusses the general principles of often used optimisation techniques such as Linear Programming, Integer Programming, Dynamic Programming, Non-linear Programming, Network Theory and Simulation. It aims to fill the gap between theory and practice. It especially discusses the theoretical background of important quantitative methods and techniques as well as how they can be applied to practical decision making problems. Therefore the modelling process is illustrated with examples of corporate firms, consumers, governments and other non-profit organizations. Decision science: theory and application is a thoroughly revised edition of two former Dutch versions. The authors have used their extensive didactical experience to find a proper balance between mathematical exactness, knowledge and readability on the one hand and understanding, insights and applicability of the subjects on the other hand. Virtually every topic in the text is illustrated by small, class-tested, numerical examples, exercises and graphical illustrations. This edition contains more than 160 figures. The book is therefore an elemental asset in introductory courses on decision science. It is addressed to undergraduates, postgraduates and research students.
"Sinopsis" puede pertenecer a otra edición de este libro.
Decision Science is the discipline that is concerned with the development and applications of quantitative methods and techniques to support decision making processes. This book discusses the general principles of often used optimisation techniques such as Linear Programming, Integer Programming, Dynamic Programming, Non-linear Programming, Network Theory and Simulation. It aims to fill the gap between theory and practice. It especially discusses the theoretical background of important quantitative methods and techniques as well as how they can be applied to practical decision making problems. Therefore the modelling process is illustrated with examples of corporate firms, consumers, governments and other non-profit organizations."Decision Science: Theory and Application" is a thoroughly revised edition of two former Dutch versions. The authors have used their extensive didactical experience to find a proper balance between mathematical exactness, knowledge and readability on the one hand and understanding, insights and applicability of the subjects on the other hand. Virtually every topic in the text is illustrated by small, class-tested, numerical examples, exercises and graphical illustrations. This edition contains more than 160 figures. The book is therefore an elemental asset in introductory courses on decision science. It is addressed to undergraduates, postgraduates and research students.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
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Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 473 pages. 9.25x6.75x1.00 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __908686001X
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Condición: New. KlappentextDecision Science is the discipline that is concerned with the development and applications of quantitative methods and techniques to support decision making processes. This book discusses the general principles of often used o. Nº de ref. del artículo: 920705105
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Neuware - Decision Science is the discipline that is concerned with the development and applications of quantitative methods and techniques to support decision making processes. This book discusses the general principles of often used optimisation techniques such as Linear Programming, Integer Programming, Dynamic Programming, Non-linear Programming, Network Theory and Simulation. It aims to fill the gap between theory and practice. It especially discusses the theoretical background of important quantitative methods and techniques as well as how they can be applied to practical decision making problems. Therefore the modelling process is illustrated with examples of corporate firms, consumers, governments and other non-profit organizations. Decision science: theory and application is a thoroughly revised edition of two former Dutch versions. The authors have used their extensive didactical experience to find a proper balance between mathematical exactness, knowledge and readability on the one hand and understanding, insights and applicability of the subjects on the other hand. Virtually every topic in the text is illustrated by small, class-tested, numerical examples, exercises and graphical illustrations. This edition contains more than 160 figures. The book is therefore an elemental asset in introductory courses on decision science. It is addressed to undergraduates, postgraduates and research students. Nº de ref. del artículo: 9789086860012
Cantidad disponible: 2 disponibles