Iterative methods for minimizing smooth functions, such as the BFGS algorithm, the Frank-Wolfe algorithm and sequential quadratic programming. An algorithm belongs here when its cited article describes an iterative method for unconstrained or constrained numerical optimization. It excludes linear programming and metaheuristic methods. A member is placed here by what its own cited article states about it, not by the name of the algorithm or by the uses it is put to today, so each entry sits in the group its source describes it as belonging to.
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Gradient and Quasi-Newton Optimization Methods
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Broyden-Fletcher-Goldfarb-Shanno algorithm (Wikipedia)
Has Member: BFGS Algorithm, Lead sectionQuote, Has Member: BFGS Algorithm, Lead section
iterative method for solving unconstrained nonlinear optimization
View the Source Frank-Wolfe algorithm (Wikipedia)
Has Member: Frank-Wolfe Algorithm, Lead sectionQuote, Has Member: Frank-Wolfe Algorithm, Lead section
iterative first-order optimization algorithm for constrained convex optimization
View the Source Sequential quadratic programming (Wikipedia)
Has Member: Sequential quadratic programming, Lead sectionQuote, Has Member: Sequential quadratic programming, Lead section
is an iterative method for constrained nonlinear optimization
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