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文献信息
This journal seeks to publish high quality research and survey articles of exceptional merit in the broad and expansive fields of Applied Mathematics and Data Sciences. The transformative success of these fields stems from groundbreaking theoretical and algorithmic advancements in areas such as machine learning, data-driven modeling, differential equations, numerical analysis, scientific computing, control, optimization, and the development of robust computational tools for managing uncertainty and randomness.
Basic Reproduction NumberEpidemic ModelExistence and UniquenessOrdinary Differential EquationPeriodic SolutionPartial Differential EquationDifferential EquationGlobal Asymptotic StabilityTuring InstabilityExistence and StabilityFractional Differential EquationsDifferential EquationsDifference EquationsFractional DerivativeOptimal ControlHOPF BifurcationTransmission DynamicsFunctional AnalysisFunctional EquationPredator-Prey System
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