Introduction to Mathematical Programming and Network Science
Introduction to Mathematical Programming and Network Science
Examples with Theory and Python
Grieve, Nathan
Springer Nature Switzerland AG
04/2026
322
Dura
Inglês
9783032133298
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1 Introduction.- 2 Linear programming models-a collection of case study examples.- 3 Towards a theory for mathematical programming problems.- 4 Introduction to Tucker Tableau and duality theory for linear programming.- 5 Simplex Algorithm via Tucker Tableau.- 6 Using computer software to solve linear programming problems.- 7 Transportation and assignment problems.- 8 Network Flow problems.- 9. Selected introduction to nonlinear programming.- 10 More general convex functions, Lagrangians and KKT conditions.- 11 Using computer software to solve selected nonlinear programming.- 12 Introduction to game theory, decision analysis and multicriteria optimization.- 13 Introduction to non-directed networks.- Appendix A Solving systems of linear equations.- Appendix B Convexity and optimization of smooth functions in dimensions one and two.- Appendix C Solution sketches to selected problems.- References.- Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
operations research;mathematical programming;network science;linear programming;transportation problem;assignment problem;convex programming;Python;Simplex method;linear programming models;Tucker tableau;duality theory;Simplex algorithm;linear programming Python;Gaussian elimination;Gauss-Jordan elimination;numpy
1 Introduction.- 2 Linear programming models-a collection of case study examples.- 3 Towards a theory for mathematical programming problems.- 4 Introduction to Tucker Tableau and duality theory for linear programming.- 5 Simplex Algorithm via Tucker Tableau.- 6 Using computer software to solve linear programming problems.- 7 Transportation and assignment problems.- 8 Network Flow problems.- 9. Selected introduction to nonlinear programming.- 10 More general convex functions, Lagrangians and KKT conditions.- 11 Using computer software to solve selected nonlinear programming.- 12 Introduction to game theory, decision analysis and multicriteria optimization.- 13 Introduction to non-directed networks.- Appendix A Solving systems of linear equations.- Appendix B Convexity and optimization of smooth functions in dimensions one and two.- Appendix C Solution sketches to selected problems.- References.- Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
operations research;mathematical programming;network science;linear programming;transportation problem;assignment problem;convex programming;Python;Simplex method;linear programming models;Tucker tableau;duality theory;Simplex algorithm;linear programming Python;Gaussian elimination;Gauss-Jordan elimination;numpy