| Grant number: | 17/18308-2 |
| Support Opportunities: | Regular Research Grants |
| Start date: | February 01, 2018 |
| End date: | January 31, 2020 |
| Field of knowledge: | Physical Sciences and Mathematics - Mathematics - Applied Mathematics |
| Principal Investigator: | Gabriel Haeser |
| Grantee: | Gabriel Haeser |
| Host Institution: | Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| City of the host institution: | São Paulo |
Abstract
In this project we present several lines of research on the use of second-order information in nonlinear programming problems. Being second-order optimality conditions more accurate with respect to optimality than its first-order counterparts, the advantages of a second-order algorithm is evident, given those recent applications of nonlinear programming where guaranteeing optimality is paramount. Research topics described involve this topic both from theoretical and practical perspectives. (AU)
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