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This thesis treats the problem of finding optimal parameters for first-order optimization methods. In part, we use the Performance Estimation Problem (PEP), a framework for convergence analysis of first-order optimization methods. The fundamental idea of the PEP is to formulate the problem of finding the worst-case convergence rate of a first-order optimization algorithm, as an optimization proble
