MATHEMATIC f212 * We aren't endorsed by this school

MATHEMATIC f212 OPtimization

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    Dec 15, 2016
    | Would recommend.

    Not too easy. Not too difficult.

    Course Overview:

    It's a more general approach to optimise the result under the given constraints. This will be surely helpful in future where we need to minimise the power consumption of a device designed under the given specifications

    Course highlights:

    LPP formulation, Simplex Algorithm, Dual Simplex, Genetic Algorithm, Hungarian Model, Weak Dual-Primal theorem, Dual LPP, Revised Simplex, General Simplex, Maximising a function with more than one variable under constrained and unconstrained conditions, KKT conditions Dichotomous method, Steep ascent and Steep descent methods etc.

    Hours per week:

    3-5 hours

    Advice for students:

    Simple practice and proper understanding of various algorithms, their advantages and limitations

    • Fall 2016
    • SHIVIAGARWAL
    • Yes
    • Background Knowledge Expected Participation Counts Competitive Classmates

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