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This lecture presents an optimization-based approach for estimating flow fields in Autonomous Underwater Vehicles (AUVs) navigation. The method involves solving the problem within an optimization framework, incorporating constraints based on physical knowledge of flow fields. Results show the effectiveness of incrementally adding constraints in flow field estimation, leading to lower Root Mean Square Error (RMSE) and faster convergence rates.