Linear Programming: Methods and Applications: Fifth Edition (Dover Books on Computer Science)

Clear and comprehensive, this volume introduces theoretical, computational, and applied concepts and is useful both as text and as a reference book. Considerations of theoretical and computational methods include the general linear programming problem, the simplex computational procedure, the revised simplex method, the duality problems of linear programming degeneracy procedures, parametric linear programming and sensitivity analysis, and additional computational techniques. The treatment of applications covers the transportation problem and general linear programming applications, and a final part examines nonlinear programming. Numerical examples and exercises with selected answers appear in every chapter.

• An Illustrated Guide to Linear Programming
• Combinatorial Optimization: Algorithms and Complexity (Dover Books on Computer Science)
• Games and Decisions (Dover Books on Mathematics)
• Linear Programming and Economic Analysis (Dover Books on Computer Science)
• Mathematical Economics (Dover Books on Computer Science)
• Linear Programming: An Introduction to Finite Improvement Algorithms: Second Edition (Dover Books on Mathematics)
• Applied Probability Models with Optimization Applications (Dover Books on Mathematics)
• Linear Programming: An Introduction With Applications
• Hands-On Machine Learning with Scikit-Learn and Tensor Flow: Concepts, Tools, and Techniques to Build Intelligent Systems
• Understanding and Using Linear Programming (Universitext)