A new approach to solve non-regular constrained optimization problems. An application to optimal provision of public inputs
Antonio Jesus Sanchez Fuentes () and
Diego Martínez ()
No 06.35, Working Papers from Universidad Pablo de Olavide, Department of Economics
This paper describes a new method for solving non-regular constrained optimization problems when standard methodologies do not work properly. Our method (the Rational Iterative Multisection Procedure, RIMP) consists of different stages that can be interpreted as different requirements of precision by obtaining the optimal solution. We have performed an application of RIMP to the case of public inputs provision under two tax settings. We prove that the RIMP and the standard Newton-Raphson (NR) method achieve the same results with regular optimization problems while the RIMP takes advantage over NR when facing non-regular optimization problems.
Keywords: numerical analysis; constrained optimization; multisection; optimal taxation; public input. (search for similar items in EconPapers)
JEL-codes: C6 H21 H3 H41 H43 (search for similar items in EconPapers)
Pages: 27 pages
New Economics Papers: this item is included in nep-pbe
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Persistent link: https://EconPapers.repec.org/RePEc:pab:wpaper:06.35
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