
Principles of Dynamic Optimization
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Preface.- Overview.- Set Convergence, Measurability, and Existence of Minimizers.- Variational Principles.- Nonsmooth Analysis.- Subdifferential Calculus.- Differential Inclusions.- The Maximum Principle.- The Generalized Euler-Lagrange and Hamiltonian Inclusion Conditions.- Free End-Time Problems.- The Maximum Principle for Problems with Pathwise Constraints.- The Euler-Lagrange and Hamiltonian Inclusion Conditions in the Presence of State Constraints.- Regularity of Minimizers.- Dynamic Programming.- Bibliography.- Index.