Optimization Using Linear Programming
Seiten
2019
Mercury Learning & Information (Verlag)
978-1-68392-347-3 (ISBN)
Mercury Learning & Information (Verlag)
978-1-68392-347-3 (ISBN)
Designed for engineers, mathematicians, computer scientists, financial analysts, and anyone interested in using numerical linear algebra, matrix theory, and game theory concepts to maximize efficiency in solving applied problems. The book emphasizes the solution of various types of linear programming problems by using different types of software.
Metei A. J. : A. J. Metei, PhD is a university instructor specializing in linear algebra and linear programming. Jain Veena : Veena Jain, PhD is a university instructor specializing in linear algebra and linear programming.
1: Basics of Linear Algebra Using MS-Excel
2: Introduction to LPPs and the Graphical Method
3: Simplex Method-I
4: Simplex Method-II
5: Duality
6: Sensitivity Analysis
7: Transportation and Transshipment Problems
8: Assignment Problems
9: Game Theory
Appendix: Use of Mathematica, MATLAB, Lindo
References
Index
Erscheinungsdatum | 18.03.2019 |
---|---|
Sprache | englisch |
Gewicht | 563 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge |
Mathematik / Informatik ► Mathematik ► Algebra | |
Technik | |
ISBN-10 | 1-68392-347-2 / 1683923472 |
ISBN-13 | 978-1-68392-347-3 / 9781683923473 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Das Handbuch für Webentwickler
Buch | Hardcover (2023)
Rheinwerk (Verlag)
CHF 69,85
Grundlagen und praktische Anwendungen von Transpondern, kontaktlosen …
Buch (2023)
Hanser (Verlag)
CHF 125,95