# Principles of Sequential Quadratic Programming Methods for Solving Nonlinear Programs

Ontology type: schema:Chapter

### Chapter Info

DATE

1985

AUTHORS ABSTRACT

In this paper it is tried to describe to some extent the theoretical background and several practical aspects of sequential quadratic programming (S.QP) methods for solving the following standard problem \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\matrix{ {\left( {\rm{p}} \right)\min {\rm{f}}\left( {\rm{x}} \right)} \cr {{\rm{x}} \in {{\rm{R}}^{\rm{n}}}:{{\rm{g}}_{\rm{j}}}\left( {\rm{x}} \right) \le {\rm{0, j = 1,2, \ldots ,mi}}} \cr {{\rm{ }}{{\rm{g}}_{\rm{j}}}\left( {\rm{x}} \right) = {\rm{0, j = mi + 1, \ldots ,m,}}} \cr }$$\end{document} Where f,gj ∈ C2 (Rn). More... »

PAGES

165-207

### Book

TITLE

Computational Mathematical Programming

ISBN

978-3-642-82452-4
978-3-642-82450-0

### Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-82450-0_6

DOI

http://dx.doi.org/10.1007/978-3-642-82450-0_6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042894004

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