quadratic programming problems
Non Linear Feedback Neural Network for Solution of Quadratic Programming Problems
... Quadratic programming problem (QPP) is the problem of optimizing (minimizing or maximizing) a quadratic function of several variables subject to linear constraints on these ...Such problems ...
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A Solution Approach for Solving Fully Fuzzy Quadratic Programming Problems
... section, quadratic programming problem is ...fuzzy quadratic programming problem is defined in the first subsection, the solution method of solving this fuzzy quadratic ...
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A Recurrent Neural Network for Solving Strictly Convex Quadratic Programming Problems
... l ≤ Ax ≤ ¯ h divided two part, ¯ l ≤ Ax and Ax ≤ ¯ h, thus dimension of problem increases. First time, Xia et al. studied [22] a neural network for solving (1.1) without dividing ¯ l ≤ Ax ≤ ¯ h into two part. Proposed ...
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A Computationally Efficient Algorithm for Solving Fuzzy Quadratic Programming Problems
... Abstract—Quadratic programming with fuzzy parameters, an extended version of conventional quadratic programming deems fit to tackle imprecise parameters and non linear objective ...
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Conic Reformulations and Approximations to Some Subclasses of Nonconvex Quadratic Programming Problems.
... QCQP problems and gave a specific algorithm for solving the nonconvex quadratic optimization problem with box ...nonconvex quadratic optimization problem over a set of convex quadratic ...
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Conic Reformulation of Some Quadratic Programming Problems with Applications.
... where ρ is a prescribed return level and X is a set formed by other deterministic constraints on x such as budget constraint, sector constraint, no shorting constraint, lower and upper bounds. Based on Markowitz’s work, ...
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Quadratically Constrained Quadratic Programming Problems and Extensions.
... As mentioned in Chapter 1, TRS problem serves as a subroutine of the trust region methods [37], which are used for solving NLP problems through quadratic approximation. Since the trust region methods are ...
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Study on Fuzzy Quadratic Programming Problems
... fuzzy quadratic programming, whose objective functions are fuzzy quadratic and constraint conditions are fuzzy linear, are ...fuzzy quadratic programming are a special case of convex ...
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Quadratic Programming with Discrete Variables.
... binary quadratic programs (BQP) [30, 55, 56, ...of quadratic equality constraints, hence BQP also belongs to the class of continuous quadratic programming problems ...
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Statistical Averaging Method and New Statistical Averaging Method for Solving Extreme Point Multi–Objective Linear Programming Problem
... Point Quadratic Fractional Programming Problem ...for Quadratic fractional programming problem ...Objective Quadratic Programming Problems (EPMOQPP) has been given by ...
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Research on the Portfolio Optimization Model under Quantitative Constraint Based on Genetic Algorithm
... optimization problems close to reality, we often need to study the portfolio optimization problem under numeric ...use quadratic pro- gramming with function quadprog() in Matlab and solver tool for ...
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A Quadratic Programming with Triangular Fuzzy Numbers
... Quadratic Programming (QP) is a mathematical modeling technique de- signed to optimize the usage of limited resources and has been widely applied to solve real world ...conventional quadratic ...
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Some Properties of Interval Quadratic Programming Problem
... frequent problems is study the properties on upper and lower bounds of ...convex quadratic programming problems with interval data, the problem of computing the best case and the worst case ...
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Quadratic programming and penalized regression
... sion of the lasso estimator (Tibshirani, 1996) and it hence leads to sparse estimates. When approaching new data it is possible that the underlying signal function has a very simple form; sparse estimates can more easily ...
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Quadratic Programming Feature Selection
... These results are illustrated in the experiments shown in Figure 10b. This figure shows the average time cost for the SRBCT data set as a function of the problem dimension, M, for the mRMR, QPFS, and QPFS+Nystr¨om ...
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DETECTING MOTION BY COMBINING THE STRUCTURE TEXTURE IMAGE DECOMPOSITION AND SPACE TIME INTEREST POINTS
... In general, a binary constraint satisfaction problem is represented as an undirected graph with the vertices corresponding to the variables and the edges corresponding to the constraints. It is known that, the binary CSP ...
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MULTI LEVEL GROUP KEY MANAGEMENT TECHNIQUE FOR MULTICAST SECURITY IN MANET
... Convex quadratic bilevel programming problem is a special class of nonlinear bilevel programming problems, because all of its objective function is convex quadratic function, all the ...
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Prevention of Voltage Instability by Using FACTS Controllers in Power Systems: A Literature Survey
... collapse problems in a power ...evolutionary programming technique for optimal location and parameters settings of UPFCs to maximize the system laudability subject to the transmission line capability and ...
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Fully fuzzy linear programming with inequality constraints
... In this paper a new method is proposed to find the fuzzy optimal solution of FFLP problems with inequality constraint by representing all param- eters as triangular fuzzy numbers. By using the proposed method the ...
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A Survey of Quadratic Assignment Problems
... dynamic programming method is quite ...dynamic programming approach to solve a special case of QAP. Dynamic programming solves a problem of size n by starting from subproblems of size ...k+1. ...
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