Results 41 to 50 of about 6,923,335 (304)
Mathematics, 2020 Zero-one quadratic programming is a classical combinatorial optimization problem that has many real-world applications. However, it is well known that zero-one quadratic programming is non-deterministic polynomial-hard (NP-hard) in general.
Shenshen Gu, Xinyi Chen
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Fuzzy Information and Engineering, 2023 To address the compounded uncertainty in the observed output data, we introduce a new method of fuzzy regression modeling which is based on quadratic programming and fuzzy weights, so that the objective function represents the quadratic error for all of ...
Mahdi Danesh +3 more
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A simple effective heuristic for embedded mixed-integer quadratic programming [PDF]
American Control Conference, 2015 In this paper we propose a fast optimization algorithm for approximately minimizing convex quadratic functions over the intersection of affine and separable constraints (i.e., the Cartesian product of possibly nonconvex real sets).
Reza Takapoui +3 more
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A Novel Method for Optimal Control of Piecewise Affine Systems Using Semi-Definite Programming [PDF]
International Journal of Industrial Electronics, Control and Optimization, 2020 : In this paper, a novel optimal control design method by discontinuous quadratic Lyapunov function and continuous quadratic Lyapunov function for 2-dimensional piecewise affine systems via semi-definite programming and LMI constraints is proposed.In ...
Majid Akbarian +2 more
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An Algorithm for Solving Quadratic Programming Problems [PDF]
Computer Science Journal of Moldova, 1997 Herein is investigated the method of solution of quadratic programming problems. The algorithm is based on the effective selection of constraints. Quadratic programming with constraints-equalities are solved with the help of an algorithm, so that matrix ...
V. Moraru
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An improved constrained dynamic matrix control for temperature in an industrial coke furnace
Measurement + Control, 2019 In order to derive the feasible control law of the constrained model predictive control scheme, quadratic programming has been introduced as an effective method. It is known that the typical performance index for model predictive control strategies under
Hongbo Zou, Limin Wang
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A superlinearly convergent SSDP algorithm for nonlinear semidefinite programming
Journal of Inequalities and Applications, 2019 In this paper, we present a sequential semidefinite programming (SSDP) algorithm for nonlinear semidefinite programming. At each iteration, a linear semidefinite programming subproblem and a modified quadratic semidefinite programming subproblem are ...
Jian Ling Li, Hui Zhang
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Solving Quadratic Programming Problem Using Van De Panne Method Under Fuzzy Environment [PDF]
المجلة العراقية للعلوم الاحصائية, 2010 In this paper, the solution of Symmetric Fuzzy Quadratic programming is considered by using fuzzy values with special Phases of Van De method , For the founded model ,we use the Kuhn Tucker conditions for solving the Quadratic programming by implementing
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, 2017 Sequential Quadratic Programming (SQP) is a powerful class of algorithms for solving nonlinear optimization problems. Local convergence of SQP algorithms is guaranteed when the Hessian approximation used in each Quadratic Programming subproblem is close ...
Butler, Hans +2 more
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Simultaneous Diagonalization of Matrices and Its Applications in Quadratically Constrained Quadratic Programming [PDF]
SIAM Journal on Optimization, 2015 An equivalence between attainability of simultaneous diagonalization (SD) and hidden convexity in quadratically constrained quadratic programming (QCQP) stimulates us to investigate necessary and sufficient SD conditions, which is one of the open ...
Rujun Jiang, Duan Li
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