Dissipative stochastic differential equations are mean-square dissipative, and their stability and bifurcations can be analyzed via linearised systems using deterministic methods.
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Domain experts require fast convergence and some explainability from evolutionary algorithms in physics-informed optimization, with other needs varying by problem, revealing an application gap.
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Mean-square Stability and Bifurcations for Dissipative SDEs
Dissipative stochastic differential equations are mean-square dissipative, and their stability and bifurcations can be analyzed via linearised systems using deterministic methods.