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Nonlinear programming

Known as: Non linear optimization, Non-linear programming, Nonlinear optimization 
In mathematics, nonlinear programming is the process of solving an optimization problem defined by a system of equalities and inequalities… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
End-user Computing: Concepts, Methodologies, Tools and Applications
Paralleling the rapid development of widely distributed information and computing technologies has been an accelerated demand by… 
Highly Cited
2008
Highly Cited
2008
Pumped-Storage Scheduling Using Evolutionary Particle Swarm Optimization
This paper presents new solution algorithms based on an evolutionary particle swarm optimization (EPSO) for solving the pumped… 
Highly Cited
2002
Highly Cited
2002
Fair allocation of utilities in multirate multicast networks: a framework for unifying diverse fairness objectives
We study fairness in a multicast network. We assume that different receivers of the same session can receive information at… 
Highly Cited
2001
Highly Cited
2001
A new temporal basis function for the time-domain integral equation method
A new temporal basis function that has all-order continuous derivative has been constructed using a nonlinear optimization scheme… 
Highly Cited
2000
Highly Cited
2000
A robust method to obtain optimal and sub-optimal design and retrofit solutions of water utilization systems with multiple contaminants in process plants
Highly Cited
1998
Highly Cited
1998
Enhanced Interval Analysis for Phase Stability: Cubic Equation of State Models
The reliable prediction of phase stability is a challenging computational problem in chemical process simulation, optimization… 
Highly Cited
1995
Highly Cited
1995
Six-legged technical walking considering biological principles
Highly Cited
1994
Highly Cited
1994
Parallel Variable Distribution
An approach is presented here for solving optimization problems in which the variables are distributed among p processors. Each… 
Highly Cited
1983
Highly Cited
1983
Maximum-Likelihood Seismic Deconvolution
The purpose of this paper is to describe a broad spectrum of seismic deconvolution problems and solutions which we refer to… 
Highly Cited
1981
Highly Cited
1981
APPROXIMATION AND CONVERGENCE IN NONLINEAR OPTIMIZATION
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