Suchergebnisse - linearly-constrained quadratic programming problems

Optimizing a Linearly Constrained Quadratic Programming Problem Using Eigen-Value Decomposition and Resultant Vector Ascent Method von Sarkar, Subhadip

“… This paper suggests an iterative method for optimizing a Quadratic Programming Problem, constrained with a set of Linear Inequalities (less than type …”
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A successive domain-reduction scheme for linearly constrained quadratic integer programming problems von Wang, Fenlan

“… A new exact solution method is developed in this paper for solving nonseparable linearly constrained quadratic integer programming problems with convex, concave or indefinite objective functions …”
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A new penalty parameter for linearly constrained 0–1 quadratic programming problems von Hsia, Yong, Wang, Yanping

“… The equivalence between the linearly constrained 0–1 quadratic programming problem and the continuous quadratic programming problem is studied in this note …”
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Polynomial time solvable algorithms to a class of unconstrained and linearly constrained binary quadratic programming problems von Gu, Shenshen, Cui, Rui, Peng, Jiao

“… However, it is NP-hard and lacks efficient algorithms. Due to this reason, in this paper, some novel polynomial algorithms are proposed to solve a class of unconstrained and linearly constrained binary quadratic programming problems …”
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CSOLNP: Numerical Optimization Engine for Solving Non-linearly Constrained Problems von Zahery, Mahsa, Maes, Hermine H., Neale, Michael C.

“… R package version, 1) alongside some improvements. CSOLNP solves non-linearly constrained optimization problems using a Sequential Quadratic Programming (SQP) algorithm. CSOLNP, NPSOL …”
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Inequalities for sums of squares of reranked differences involving ties and missing data von Speevak, Ted

“… An inequality for the sum of squares of rank differences associated with Spearman's rank correlation coefficient, when ties and missing data are present in …”
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Sparsity-Aware Noise Subspace Fitting for DOA Estimation von Zheng, Chundi, Chen, Huihui, Wang, Aiguo

“… Our formulation leads to a convex linearly constrained quadratic programming (LCQP) problem that enjoys global convergence without the need of accurate initialization and can be easily solved by existing LCQP solvers …”
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Polynomial time solvable algorithm to linearly constrained binary quadratic programming problems with Q being a five-diagonal matrix von Shenshen Gu, Rui Cui

“… Binary quadratic programming (BQP) is a typical integer programming problem widely applied in the field of signal processing, economy, management and engineering …”
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A Fast Algorithm for Linearly Constrained Quadratic Programming Problems with Lower and Upper Bounds von Yanwu Liu, Zhongzhen Zhang

“… There are many applications related to linearly constrained quadratic programs subjected to upper and lower bounds …”
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Combining Probability Density Forecasts for Power Electrical Loads von Li, Tianyi, Wang, Yi, Zhang, Ning

“… The combination problem is formulated as an optimization problem to minimize the continuous ranked probability score of the combined model by searching the weights of different individual …”
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A Global Optimization Algorithm for Solving Linearly Constrained Quadratic Fractional Problems von Xu, Zhijun, Zhou, Jing

“… This paper first proposes a new and enhanced second order cone programming relaxation using the simultaneous matrix diagonalization technique for the linearly constrained quadratic fractional programming problem …”
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On Wolfe's Method for Resolving Degeneracy in Linearly Constrained Optimization von Fletcher, Roger

“… The method is extended to solve a general form of linearly constrained optimization problem that includes quadratic programming …”
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Finiteness of the quadratic primal simplex method when s-monotone index selection rules are applied von Csizmadia, Adrienn, Csizmadia, Zsolt, Illés, Tibor

“… This paper considers the primal quadratic simplex method for linearly constrained convex quadratic programming problems …”
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The Quadratic Programming Method for Extracting Emission Line Maps from Line-blended Narrowband Images von Ueta, Toshiya, Mito, Hiroyuki, Otsuka, Masaaki, Nakada, Yoshikazu, Conn, Blair C., Ladjal, Djazia

“… other. This method, based on the principle of quadratic programming (QP), treats line blending as a linearly constrained quadratic optimization problem and finds the solution …”
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New variants of the criss-cross method for linearly constrained convex quadratic programming von Akkeleş, Arif A., Balogh, László, Illés, Tibor

“… –dual quadratic programming problems. These criss-cross type algorithms are different from the one described in Klafszky and Terlaky [Math. Oper. und Stat. Ser. Optim. 24 (1992) 127 …”
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A fast global algorithm for singly linearly constrained separable binary quadratic program with partially identical parameters von Lu, Cheng, Wu, Junhao, Deng, Zhibin, Li, Shaoze

“… The singly linearly constrained separable binary quadratic programming problem (SLSBQP) has a wide variety of applications in practice …”
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Computation of optimal investment allocations in a sequential portfolio optimisation von Mavungu, Masiala, Hurwitz, Evan, Marwala, Tshilidzi

“… Orientation: This article is related to Financial Risk Management, Investment Management and Portfolio Optimisation. Research purpose: The aim is to compute …”
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Convergence analysis of generalized ADMM with majorization for linearly constrained composite convex optimization von Li, Hongwu, Zhang, Haibin, Xiao, Yunhai, Li, Peili

“… The generalized alternating direction method of multipliers (ADMM) of Xiao et al. (Math Prog Comput 10:533–555, 2018) aims at the two-block linearly constrained composite convex programming problem, in which each block is in the …”
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Stochastic model predictive control for probabilistically constrained Markovian jump linear systems with additive disturbance von Lu, Jianbo, Xi, Yugeng, Li, Dewei

“… Summary Model predictive control (MPC) for Markovian jump linear systems with probabilistic constraints has received much attention in recent years. However, …”
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Constrained Model Predictive Control for dynamic path tracking of a bi-steerable rover on slippery grounds von Fnadi, Mohamed, Du, Wenqian, Plumet, Frédéric, Benamar, Faïz

“… The research works carried out in this paper deal with the control of a fast double-steering off-road mobile robot. Such kind of robots requires very high …”
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