Computational modeling study demonstrates profit maximization in digital payment platforms across multiple business scenarios, highlighting the value of multi-variable algorithmic tuning.
The paper describes a deterministic optimization model for maximizing monthly profit in a digital payment system by optimizing transaction fees, incentives, marketing allocations, and transaction handling time, using Golden Section, Line Search, Newton, and Quasi-Newton methods across four business scenarios.
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Mittal et al. (2026) studied this question.
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