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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 UniquenessPeriodic SolutionOrdinary Differential EquationPartial Differential EquationDifferential EquationExistence and StabilityGlobal Asymptotic StabilityTuring InstabilityFractional Differential EquationsDifferential EquationsOptimal ControlTransmission DynamicsHOPF BifurcationDifference EquationsFractional DerivativeFunctional AnalysisGlobally Asymptotically StableFunctional Response
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.