Principles of Mathematics in Operations Research

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Kandiller, Levent (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2007.
Σειρά:International Series in Operations Research & Management Science, 97
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Kandiller, Levent.  |e author. 
245 1 0 |a Principles of Mathematics in Operations Research  |h [electronic resource] /  |c by Levent Kandiller. 
264 1 |a Boston, MA :  |b Springer US,  |c 2007. 
300 |a XII, 298 p. 70 illus.  |b online resource. 
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490 1 |a International Series in Operations Research & Management Science,  |x 0884-8289 ;  |v 97 
505 0 |a 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. 
520 |a 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. 
650 0 |a Mathematics. 
650 0 |a Business. 
650 0 |a Management science. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Computer mathematics. 
650 0 |a Mathematical models. 
650 0 |a Mathematical optimization. 
650 1 4 |a Mathematics. 
650 2 4 |a Mathematical Modeling and Industrial Mathematics. 
650 2 4 |a Operation Research/Decision Theory. 
650 2 4 |a Applications of Mathematics. 
650 2 4 |a Computational Mathematics and Numerical Analysis. 
650 2 4 |a Optimization. 
650 2 4 |a Business and Management, general. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9780387377346 
830 0 |a International Series in Operations Research & Management Science,  |x 0884-8289 ;  |v 97 
856 4 0 |u http://dx.doi.org/10.1007/978-0-387-37735-3  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)