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USER’S GUIDE FOR QPOPT 1.0: A FORTRAN PACKAGE FOR QUADRATIC PROGRAMMING
Quadratic programming linear programming linear constraints
2015/7/3
QPOPT is a set of Fortran subroutines for minimizing a general quadratic function
subject to linear constraints and simple upper and lower bounds. QPOPT may also be
used for linear programming and f...
STABLE REDUCTION TO KKT SYSTEMS IN BARRIER METHODS FOR LINEAR AND QUADRATIC PROGRAMMING
interior methods barrier methods linear programming
2015/7/3
We discuss methods for solving the key linear equations within primal-dual barrier
methods for linear and quadratic programming. Following Freund and Jarre, we explore methods
for reducing the Newto...
A New Numerical Method for Solving the Stokes Problem Using Quadratic Programming
Galerkin Method Neural Network Model Quadratic Programming Problem Stokes Problem
2013/1/28
In this paper we present a new method for solving the Stokes problem which is a constrained optimization method. The new method is simpler and requires less computation than the existing methods. In t...
Development of Probiotic Candies with Optimal Viability by Using Response Surface Methodology and Sequential Quadratic Programming
Probiotics Lyoprotectants Optimization Response Surface Methodology Sequential Quadratic Programming
2016/4/27
The objective of this research was to create a new probiotic candy with good flavor and healthy benefits by using the response surface method and a sequential quadratic programming technique. The endp...
Predictor-corrector algorithm for linear programming, proposed by
Mizuno et al.$^{[1]}$, becomes the best well known in the interior point
methods.
The purpose of this paper is to extend these resu...
ROW-ACTION METHODS FOR CONVEX QUADRATIC PROGRAMMING
Convex quadratic programming linear pro
2007/8/7
This paper gives new algorithms for convex quadratic programming and linear programming. The algorithms mainly deal with nonconstrained maximization problems with simple concave objective functions. T...
Development and Verification of an Optimum Composition Model for a Synbiotic Fermented Milk Using Sequential Quadratic Programming Techniques
Probiotics Synbiotics Prebiotics
2016/4/22
The purpose of this research was to develop an optimum composition model for a new synbiotic fermented dairy product with high probiotic cell counts, and to experimentally verify this model. The optim...
Optimization of the Growth Rate of Probiotics in Fermented Milk Using Genetic Algorithms and Sequential Quadratic Programming Techniques
Probiotics Optimization Genetic Algorithms Sequential Quadratic Programming
2016/4/13
Prebiotics (peptides, N-acetyglucoamine, fructo-oligosaccharides, isomalto-oligosaccharides and galacto-oligosaccharides) were added to skim milk in order to improve the growth rate of contained Lacto...