Workshop notes explain models, subproblems, globalization, and convergence assumptions for PIPA, monotone-LCP PIPA, implicit-programming, and PSQP algorithms applied to MPECs.
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Lecture notes present the first-order theory for optimal control with box constraints, including modified Pontryagin principle, projection/clamping formulas for quadratic Hamiltonians, and forward-backward sweep methods based on an existing book.
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Optimization Workshop Notes for Mathematical Programming with Equilibrium Constraints Algorithms: Penalty Interior-Point, Implicit-Programming, and Piecewise SQP
Workshop notes explain models, subproblems, globalization, and convergence assumptions for PIPA, monotone-LCP PIPA, implicit-programming, and PSQP algorithms applied to MPECs.
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Lecture Note for Bounded Controls in Continuous-Time and Control of Several Variables
Lecture notes present the first-order theory for optimal control with box constraints, including modified Pontryagin principle, projection/clamping formulas for quadratic Hamiltonians, and forward-backward sweep methods based on an existing book.