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A finite steepest-ascent algorithm for maximizing piecewise-linear concave functions
Authors:M. S. Bazaraa  J. J. Goode  R. L. Rardin
Affiliation:(1) School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia;(2) School of Mathematics, Georgia Institute of Technology, Atlanta, Georgia
Abstract:In this note, we describe a finitely convergent steepest-ascent scheme for maximizing piecewise-linear concave functions. Given any point, the algorithm moves along the direction of steepest ascent, that is, along the shortest subgradient, until a new ridge is reached. The overall process is then repeated by moving along the new steepest-ascent direction.
Keywords:Nonlinear programming  nondifferentiable optimization  subgradient search  steepest-ascent algorithm
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