On the piecewise-concave approximations of functions
Gene A. Bunin

TL;DR
This paper proves that piecewise-concave functions can approximate various classes of functions, including multivariate twice differentiable and Lipschitz-continuous functions, with arbitrary precision over bounded sets.
Contribution
It establishes the theoretical property that piecewise-concave functions can approximate specific classes of functions to any desired accuracy.
Findings
Proves approximation capability for multivariate twice differentiable functions.
Shows approximation for univariate Lipschitz-continuous functions.
Extends results to multivariate separable Lipschitz-continuous functions.
Abstract
The piecewise-concave function may be used to approximate a wide range of other functions to arbitrary precision over a bounded set. In this short paper, this property is proven for three function classes: (a) the multivariate twice continuously differentiable function, (b) the univariate Lipschitz-continuous function, and (c) the multivariate separable Lipschitz-continuous function.
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Taxonomy
TopicsControl Systems and Identification · Advanced Optimization Algorithms Research · Advanced Control Systems Optimization
