Results 11 to 20 of about 970,162 (283)
Journal of Computational and Applied Mathematics, 2000 The simplex method starts from a basic feasible solution and moves along the boundary of the feasible region until an optimum is reached. At each step, the algorithm brings only one new variable into the basic set, regardless of the total number of variables.
Potra, Florian A., Wright, Stephen J.
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Mathematics, 2021 The paper deals with the Stokes flow subject to the threshold leak boundary conditions in two and three space dimensions. The velocity–pressure formulation leads to the inequality type problem that is approximated by the P1-bubble/P1 mixed finite ...
Jaroslav Haslinger +3 more
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EURO Journal on Computational Optimization, 2023 We introduce a new predictor-corrector interior-point algorithm for solving P⁎(κ)-linear complementarity problems which works in a wide neighbourhood of the central path.
Tibor Illés +2 more
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A Warm-start Interior-point Method for Predictive Control [PDF]
, 2010 In predictive control, a quadratic program (QP) needs to be solved at each sampling instant. We present a new warm-start strategy to solve a QP with an interior-point method whose data is slightly perturbed from the previous QP.
Constantinides, GA +2 more
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Disentangling the roles of land-use-related drivers on vegetation greenness across China
Environmental Research Letters, 2021 Quantifying the drivers of terrestrial vegetation dynamics is critical for monitoring ecosystem carbon sequestration and bioenergy production. Large scale vegetation dynamics can be observed using the leaf area index (LAI) derived from satellite data as ...
LinLing Tang +3 more
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Updating constraint preconditioners for KKT systems in quadratic programming via low-rank corrections [PDF]
, 2015 This work focuses on the iterative solution of sequences of KKT linear systems arising in interior point methods applied to large convex quadratic programming problems.
Bellavia, S. +3 more
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Structure-Exploiting Interior Point Methods [PDF]
, 2020 Interior point methods are among the most popular techniques for large scale nonlinear optimization, owing to their intrinsic ability of scaling to arbitrary large problem sizes. Their efficiency has attracted in recent years a lot of attention due to increasing demand for large scale optimization in industry and engineering.
Kardoš, Juraj +2 more
openaire +2 more sources
Optimal Load Shedding in Deregulated System and Consideration of Effective Factors by Using a Predictor-Corrector Interior-Point Method (IPM) [PDF]
Journal of Intelligent Procedures in Electrical Technology, 2010 In this paper, intifially an introduction is presented about Electric Power market in deregulated system and load shedding by interior-point method in these systems. Then, predictor-corrector of IPM is considered and by consideration of the IEEE 6 busbar
Mojtaba Afshari, Saeed Abazari
doaj
An interior point method for isogeometric contact [PDF]
, 2014 Cataloged from PDF version of article.. The interior point method is applied to frictionless contact mechanics problems and is shown to be a viable alternative to the augmented Lagrangian approach.
Abdalla, M. M., Gurdal, Z., Temizer, I.
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Matrix Structure Driven Interior Point Method for Quadrotor Real-Time Trajectory Planning
IEEE Access, 2019 Sequential convex programming (SCP) has been recently employed in various trajectory planning problems, including entry flight, planetary landing, and aircraft formation.
Guangtong Xu +3 more
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