An Introduction to Mathematical Programming and Network ScienceExamples with Theory and Python\nAuthor(s): Nathan Grieve\nFormat: Hardback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783032133298, 978-3032133298\nSynopsis\nThis text provides a practical, hands-on introduction to the fundamental concepts of mathematical programming and network science. Particular emphasis is placed on linear programming, mathematical modelling and case studies, the implementation of the Simplex Method in Python, and classical techniques from nonlinear convex programming. The text also features a discussion of mathematical programming within the context of algebraic modelling languages. Further, it includes material on matrix games, decision analysis, multicriteria optimization and non-directed networks. \n\nDesigned as an introductory resource for upper-level undergraduate and graduate students, the book assumes only a modest mathematical.