Skip to search formSkip to main contentSkip to account menu

NLPQLP

Known as: NLPQL 
The Fortran subroutine NLPQLP, a newer version of NLPQL, solves smooth nonlinear programming problemsby a sequential quadratic programming (SQP… 
Wikipedia (opens in a new tab)

Related topics

Related topics

4 relations
FortranSequential quadratic programmingf2c

Broader (1)

Mathematical software

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Optimisation of injection-related parameters using the non-linear programming by quadratic Lagrangian algorithm for a marine medium-speed diesel engine
The match of an injector with the combustion chamber was studied through computational fluid dynamics simulation under four… 
2018
2018
Novel Spreadsheet Direct Method for Optimal Control Problems
We devise a simple yet highly effective technique for solving general optimal control problems in Excel spreadsheets. The… 
2016
2016
Optimization Method Based on Selection Strategy of Initial Point and Six Sigma Robust Design
Usually,there are three problems in the traditional optimization methods: (1) the local optima arising from choosing an… 
2012
2012
Packing Unit Spheres into a Cube Using VNS
2009
2009
NLPQL of control rules for improving fuel economy of a parallel hydraulic hybrid bus
Hydraulic hybrid system can improve fuel economy significantly of conventional buses over an urban bus-driving cycle. In this… 
2008
2008
A Simple Decomposition based SQP Algorithm for Large Scale Nonlinear Programming
The simple decomposition, originally developed for quadratic programming, is incorporated into an SQP algorithm in order to… 
2004
2004
Modelagem e otimização do processo de liofilização: aplicação para leite desnatado e cafe soluve
Liofilizacao e um processo de separacao baseado no fenomeno da sublimacao. Este processo tem as seguintes vantagens quando… 
2003
2003
Tomlab - For Large-Scale Robust Optimization
The Tomlab Optimization Environment is the most powerful optimization package available in MATLAB. TOMLAB of today has grown to… 
1998
1998
Some Basic Principles of Reliability-Based Optimization (RBO) of Structures and Mechanical Components
Particularly in view of the introduction of product liability, reliability-based design procedures, and for that matter… 
1988
1988
Design optimization of a shaded-pole motor
In a single-phase shaded-pole induction motor, the output power and losses are determined predominantly by several design… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)