Locating the Optimizer of a Non-Differentiable Convex Function in N-Space
Abstract
In this paper, we consider the optimization of a convex function in N-space which is a special case of the general non-linear optimization problem of minimizing a non-linear function f(x) over the n-dimensional Euclidean space Rn .The range of applications in which determination of X* ∈Rn at which f(x)attains its minimum are important is extremely wide. There exists a unique minimizing value when the convex is nondifferentiable and the problem is to find it with minimum functional valuation. This is done by exploiting the connection between a convex function and the accretive operator.
Full Text: PDF DOI: 10.15640/arms.v4n1a7
Abstract
In this paper, we consider the optimization of a convex function in N-space which is a special case of the general non-linear optimization problem of minimizing a non-linear function f(x) over the n-dimensional Euclidean space Rn .The range of applications in which determination of X* ∈Rn at which f(x)attains its minimum are important is extremely wide. There exists a unique minimizing value when the convex is nondifferentiable and the problem is to find it with minimum functional valuation. This is done by exploiting the connection between a convex function and the accretive operator.
Full Text: PDF DOI: 10.15640/arms.v4n1a7
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