Explore how mathematical programming reshapes capital budgeting, with clear methods you can apply. This book presents a practical look at using linear and integer programming to tackle real investment decisions. It blends theory with step-by-step modeling to show how optimization informs budgeting in business.
The chapters uncover the Lorie–Savage approach and its extensions, explain the role of dual variables, and examine how discretization affects project selection. You’ll see how to formulate capital budgeting problems, solve them with programming techniques, and interpret the results for decentralization and organizational use.
- Foundations of linear programming models for capital budgeting
- Integer programming formulations and what discreteness means for decisions
- Interpretation of dual variables and recomputation in practical settings
- Alternate methods and how they apply to real-world budgeting challenges
Ideal for readers of finance, operations research, and managerial accounting who want analytic tools to improve investment decisions.
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