Convex Quadratic Programming Problem
Solving the Binary Linear Programming Model in Polynomial Time
... linear programming model in polynomial ...linear programming problem is transformed into a convex quadratic programming ...The convex quadratic programming ...
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Fixed Point Iteration Method for Solving the Convex Quadratic Programming with Mixed Constraints
... for convex quadratic programming problem with mixed constrains, which has important application in mechanics and engineering ...The problem is reformulated as a system of non-smooth ...
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A Recurrent Neural Network for Solving Strictly Convex Quadratic Programming Problems
... proposed model has a lower structure complexity respect to existing models to solve such problem. It is shown here that the proposed neural net- work is stable in the sense of Lyapunov and glob- ally ...
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A FORMAL DEFINITION OF METRICS FOR OBJECT ORIENTED DESIGN: MOOD METRICS
... this problem requires determining how many workers must be assigned to each of the planning periods of work time for an ...scheduling problem with day task constraints. This problem is naturally ...
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A Solution Approach for Solving Fully Fuzzy Quadratic Programming Problems
... the quadratic programming problems are strictly ...[5]. Quadratic programming problem is mostly used in real ...mathematical programming problems were quite studied in the ...
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A New Method Evaluating Credit Risk with ES Based LS SVM MK
... a convex combination of basic kernels, the novel ES based SVM-MK credit risk evaluation model is of the object function, which is a quadratic programming problem in the standard LS-SVM becomes ...
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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 ...
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Minimizing Complementary Pivots in a Simplex Based Solution Method for a Quadratic Programming Problem
... The matrix D is assumed symmetric and negative defi- nite. This means that f(X) is strictly concave. The con- straints are linear thus a convex solution space is guaran- teed. Any maximization quadratic ...
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An Efficient Random Algorithm for Box Constrained Weighted Maximin Dispersion Problem
... dispersion problem is to find a point in an n-dimensional box such that the minimum of the weighted Euclidean distance from given m points is ...dispersion problem as a non-convex quadratically con- ...
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FGP approach to multi objective quadratic fractional programming problem
... objective quadratic fractional programming (MOQFP) problem involves optimization of several objective functions in the form of a ratio of numerator and denominator functions which involve both ...
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Some Properties of Interval Quadratic Programming Problem
... the convex quadratic programs (11), (12) and (13) are infeasible and the convex quadratic program (14) is feasible, hence the optimal solution is exist in the convex quadratic ...
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An Efficient and Concise Algorithm for Convex Quadratic Programming and Its Application to Markowitz’s Portfolio Selection Model
... In 1952 Harry Markowitz published the milestone pa- per “Portfolio Selection” in which the portfolio selection problem is formulated as a convex quadratic program with nonnegative variables [4,5]. It ...
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A Study on Job Satisfaction of Vivekanandha Higher Secondary School Teachers at Thirupparaithurai, Tiruchirappalli District, Tamilnadu, INDIA
... A new method namely, algebraic elimination method is proposed for finding a complementarity feasible solution to the linear complementarity problem which have applications in non-linear programming, ...
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Dykstra’s Algorithm for the Optimal Approximate Symmetric Positive Semidefinite Solution of a Class of Matrix Equations
... state Problem I as the minimization of a convex quadratic function over the intersection of three closed convex sets in the vector space R n n × ...view, Problem I can be solved by the ...
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Chebyshev Approximate Solution to Allocation Problem in Multiple Objective Surveys with Random Costs
... x as the objective functions in 5.2 (1) and the constraint 5.2 (2) are linear. Further the left hand side in 5.2 (2) is convex. So it is possible to solve the convex programming problem (5.2) ...
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Stiffness-based Approach for Preliminary Design of Framed Tube Structures
... min-max problem for such cases [Formulation ...min-max problem such as sequential quadratic programming [24], which has a numerical ...
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Improved Multi Verse Optimization (IMVO) Algorithm for Solving Economic Load Dispatch
... ELD Problem is to minimize the total generation cost by appropriate scheduling of load among generating ...ELD problem were compared with other well known existing methods which show MVPSO better than other ...
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Robust Mvdr Beamformer for Nulling Level Control via Multi-Parametric Quadratic Programming
... mismatch problem as well as control over the sidelobe ...semidefinite programming is presented to widen nulls of adaptive antenna array ...optimization problem is formulated as a second-order cone ...
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Fuzzy Programming With Quadratic Membership Functions For Multi-objective Transportation Problem
... linear programming model Maximize Subject to x 11 + x 12 + x 13 + x 14 = 8 x 21 + x 22 + x 23 + x 24 = 19 x 31 + x 32 + x 33 + x 34 = 17 x 11 + x 21 + x 31 = 11 ...
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Markov Chain methods for the Bipartite Boolean Quadratic Programming Problem
... Boolean Quadratic Programming Problem (BBQP) which is an extension of the well known Boolean Quadratic Programming Problem ...
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