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Discrete-event simulation

A system's state changes at scheduled or randomly occurring events.

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  • Agent-based models

    Individual rules and interactions generate collective behavior in simulation.

  • Verification and validation

    Verification checks implementation against specifications; validation checks fitness for an intended use.

  • ARIMA and differencing

    Difference until stationary, fit autoregressive and moving average terms, and forecast with error growing in the horizon.

  • Analytic hierarchy process

    Build pairwise comparison matrices over criteria, then read weights from the dominant eigenvector and check consistency.

  • Assumptions and simplification

    State which effects are ignored and why, so the model stays solvable while remaining defensible against the data.

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Mathematical modeling

Turns engineering, economic, biological and social questions into variables, assumptions, solvable models, validated answers and an honest limits section.

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