Results 21 to 30 of about 5,566,782 (273)
Refinements of the Erdös-Mordell inequality, Barrow’s inequality, and Oppenheim’s inequality
Journal of Inequalities and Applications, 2016 In this paper, we present some new refinements of the Erdös-Mordell inequality, Barrow’s inequality, and Oppenheim’s inequality. Based on verification by computer, several related interesting conjectures are put forward.
Jian Liu
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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.
Jurai Kardos +2 more
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An Improved Interior Point Algorithm for Quantile Regression
IEEE Access, 2020 Quantile regression is a powerful statistical technique for estimating the quantiles of a conditional distribution on the values of covariates. It has been widely used in many fields.
Pan Zhao, Shenghua Yu
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On Finding a Relative Interior Point of a Polyhedral Set [PDF]
Mathematics Interdisciplinary Research, 2021 This paper proposes a new linear program for finding a relative interior point of a polyhedral set. Based on characterizing the relative interior of a polyhedral set through its polyhedral representing sets, two main contributions are made.
Mahmood Mehdiloo
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New Refinements of the Erdös–Mordell Inequality and Barrow’s Inequality
Mathematics, 2019 In this paper, two new refinements of the Erdös−Mordell inequality and three new refinements of Barrow’s inequality are established. Some related interesting conjectures are put forward.
Jian Liu
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On some new geometrically motivated operators over intuitionistic fuzzy sets [PDF]
Notes on IFSWe consider four new geometrically motivated operators acting in the interior of the interpretation triangle used to depict intuitionistic fuzzy sets.
Peter Vassilev +4 more
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Learning to steer nonlinear interior-point methods
EURO Journal on Computational Optimization, 2019 Interior-point or barrier methods handle nonlinear programs by sequentially solving barrier subprograms with a decreasing sequence of barrier parameters.
Renke Kuhlmann
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Improved Full-Newton-Step Infeasible Interior-Point Method for Linear Complementarity Problems
Croatian Operational Research Review, 2016 We present an Infeasible Interior-Point Method for monotone Linear Complementarity Problem (LCP) which is an improved version of the algorithm given in [13]. In the earlier version, each iteration consisted of one feasibility step and few centering steps.
Goran Lešaja, Mustafa Ozen
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The Symbolic Interior Point Method
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Numerical optimization is arguably the most prominent computational framework in machine learning and AI. It can be seen as an assembly language for hard combinatorial problems ranging from classification and regression in learning, to computing optimal policies and equilibria in decision theory, to entropy minimization in information ...
Mladenov, Martin +2 more
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On the relationship between bilevel decomposition algorithms and direct interior-point methods [PDF]
, 2004 Engineers have been using bilevel decomposition algorithms to solve certain nonconvex large-scale optimization problems arising in engineering design projects.
Miguel, Angel Víctor de +3 more
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