Principles of Mathematics in Operations Research

Principles of Mathematics in Operations Research
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Artikel-Nr:
9780387377346
Veröffentl:
2006
Erscheinungsdatum:
24.10.2006
Seiten:
298
Autor:
Levent Kandiller
Gewicht:
650 g
Format:
242x165x24 mm
Sprache:
Englisch
Beschreibung:

Principles of Mathematics in Operations Research is a comprehensive survey of the mathematical concepts and principles of industrial mathematics. Its purpose is to provide students and professionals with an understanding of the fundamental mathematical principles used in Industrial Mathematics/OR in modeling problems and application solutions.

All the concepts presented in each chapter have undergone the learning scrutiny of the author and his students. The conceptual relationships within the chapter material have been developed in the classroom experience working with the students' level of understanding. The illustrative material throughout the book (i.e., worked-out problems and examples of the mathematical principles) was refined for student comprehension as the manuscript developed through its iterations, and the chapter exercises are refined from the previous year's exercises. In sum, the author has carefully developed a pedagogically strong survey textbook of OR and Industrial Mathematics.

This book is a comprehensive survey of the mathematical concepts and principles of industrial mathematics. It provides an understanding of the fundamental mathematical principles used in Industrial Mathematics/OR in modeling problems and application solutions.
This book is a comprehensive survey of the mathematical concepts and principles of industrial mathematics. Its purpose is to provide students and professionals with an understanding of the fundamental mathematical principles used in Industrial Mathematics/OR in modeling problems and application solutions. The author undertook the writing of this book because the textbooks in the area are uniformly weak.
Preliminary Linear Algebra.- Orthogonality.- Eigen Values and Vectors.- Positive Definiteness.- Computational Aspects.- Convex Sets.- Linear Programming.- Number Systems.- Basic Topology.- Continuity.- Differentiation.- Power Series and Special Functions.- Special Transformations.

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