Linear Programming for Public Administration
Master Optimization, Budgeting, and Policy Analysis with Practical Applications
Created by JožeHow can you allocate limited government resources to maximize public benefit while satisfying competing policy demands? Linear programming provides a rigorous, transparent framework for answering this question. This guide teaches you to formulate real policy problems as mathematical models, solve them systematically, and interpret results for stakeholder communication. You'll learn to construct constraints that reflect actual policy limitations, optimize objective functions that align with public goals, and use sensitivity analysis to stress-test your recommendations. Whether you're allocating education budgets across districts, optimizing healthcare resource distribution, or evaluating policy feasibility, this book provides the conceptual foundation and practical tools you need. Through worked examples grounded in public administration contexts, you'll master constraint formulation, shadow price interpretation, duality theory, and cost-benefit analysis. By the end, you'll approach complex policy decisions with quantitative rigor, transforming ambiguous trade-offs into defensible, data-driven recommendations.
Est. Length
238 pages (13 chapters)
Language
English
Publication date
Jan 19, 2026
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