Optimization Under Stochastic Uncertainty

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Focusing on optimization techniques, this book explores incorporating stochastic parameter variations to reduce costs in corrective measures. It addresses common deterministic substitute problems, emphasizing two key strategies: minimizing expected primary costs while adhering to reliability and deterministic constraints, and minimizing total expected costs, which include construction and design expenses, within the same constraints. The methods presented aim to enhance decision-making in practical applications by integrating uncertainty into the optimization process.