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Dp-Gp Optimization: A Geometric Programming Approximation Techniquefor Curse of Dimensionality in Dynamic Programming and Its Real-Life Application

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New optimization method tackles curse of dimensionality in dynamic programming, highlighting decision-making benefits.

The optimization method eliminates the curse of dimensionality, allowing broader application of dynamic programming.
Relationships between geometric programming and dynamic programming parameters were established for practical use.
The method was successfully applied to a course allocation problem, yielding an optimal decision policy.
This approach supports enhanced decision-making and efficiency in real-world dynamic programming scenarios.

Amuji et al. (2025) studied this question.

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