Advanced Optimization and Operations Research / Springer Optimization and Its Applications Bd.153 (PDF)
This textbook provides students with fundamentals and advanced concepts in optimization and operations research. It gives an overview of the historical perspective of operations research and explains its principal characteristics, tools, and...
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This textbook provides students with fundamentals and advanced concepts in optimization and operations research. It gives an overview of the historical perspective of operations research and explains its principal characteristics, tools, and applications. The wide range of topics covered includes convex and concave functions, simplex methods, post optimality analysis of linear programming problems, constrained and unconstrained optimization, game theory, queueing theory, and related topics. The text also elaborates on project management, including the importance of critical path analysis, PERT and CPM techniques. This textbook is ideal for any discipline with one or more courses in optimization and operations research; it may also provide a solid reference for researchers and practitioners in operations research.
ALI AKBAR SHAIKH is Assistant Professor of Mathematics at The University of Burdwan, West Bengal, India. Earlier, he was a postdoctoral fellow at the School of Engineering and Sciences of Tecnológico de Monterrey, México. He has obtained the award SNI of level 1 (out of 0-3) presented by the National System of Researchers of México from the Government of México in the year 2017. He earned his Ph.D. and M.Phil. degrees in Mathematics from The University of Burdwan, and M.Sc. in Applied Mathematics from the University of Kalyani, India. Dr.
- Autoren: Asoke Kumar Bhunia , Laxminarayan Sahoo , Ali Akbar Shaikh
- 2020, 1st ed. 2019, 621 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 9813299673
- ISBN-13: 9789813299672
- Erscheinungsdatum: 09.01.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 7.24 MB
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- Vorlesefunktion
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