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User’s Guide for SNOPT Version 7: Software for Large-Scale Nonlinear Programming
optimization large-scale nonlinear programming nonlinear constraints
2015/7/3
SNOPT is a general-purpose system for constrained optimization. It minimizes a
linear or nonlinear function subject to bounds on the variables and sparse linear or
nonlinear constraints. It is suita...
An Interval-parameter Fuzzy Robust Nonlinear Programming Model for Water Quality Management
Water Quality Management Interval Programming Fuzzy Robust Programming Nonlinear Programming Uncertainty
2013/3/18
Planning for water quality management is important for facilitating sustainable socio-economic development; however, the planning is also complicated by a variety of uncertainties and nonlinearities. ...
Use of nonlinear programming to determine the economically optimal energy density in laying hens diet during phase 1
Energy feed formulation laying hens nonlinear programming
2011/1/12
This study was designed to show the advantage of nonlinear programming in diet formulation. A nonlinear programming Excel workbook was developed that used the Excel solver to optimize energy density a...
A NEW SQP-FILTER METHOD FORSOLVING NONLINEAR PROGRAMMING PROBLEMS
Nonlinear programming Sequential quadratic programming Filter Restoration phase Maratos affects Global convergence Multi-objective optimization Quadratic programming subproblem
2007/12/12
In $\cite{Fletcher2002}$, Fletcher and Leyffer
present a new method that solves nonlinear programming problems without a
penalty function by SQP-Filter algorithm. It has attracted much attention
...
An Adaptive Neural Network Model for Nonlinear Programming Problems
adaptive neural network canonical neural network
2007/12/11
In this paper a canonicalneural network with adaptively changing synaptic weights and activation function parameters is presented to solve general nonlinear programming problems. The basic part of the...
A SUPERLINEAR CONVERGENT FEASIBLE METHOD FOR NONLINEAR PROGRAMMING WITH NONLINEAR CONSTRAINTS
Constrained optimization successive qua
2007/8/7
A new feasible algorithm is proposed for the minimization of a continuously differentiable function subject to inequality constraints. This algorithm only needs to solve one quadratic programming subp...
Linear and nonlinear programming to optimize the nutrient density of a population's diet: an example based on diets of preschool children in rural Malawi
Linear programming recommended nutrient intakes food consumption patterns nutrient density children season Malawi Africa
2016/12/17
Background: Food consumption surveys are often used to detect inadequate nutrient intakes but not to determine whether inadequate nutrient intakes are due to suboptimal use of locally available f...