Results 11 to 20 of about 791,497 (327)
Conformal Prediction Regions for Time Series using Linear Complementarity Programming [PDF]
AAAI Conference on Artificial Intelligence, 2023 Conformal prediction is a statistical tool for producing prediction regions of machine learning models that are valid with high probability. However, applying conformal prediction to time series data leads to conservative prediction regions.
Matthew Cleaveland +3 more
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A smoothing Levenberg-Marquardt algorithm for linear weighted complementarity problem
AIMS Mathematics, 2023 In this paper, we consider the solution of linear weighted complementarity problem (denoted by LWCP). Firstly, we introduce a new class of weighted complementary functions and show that its continuously differentiable.
Panjie Tian, Zhensheng Yu , Yue Yuan
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General fixed-point method for solving the linear complementarity problem
AIMS Mathematics, 2021 In this paper, we consider numerical methods for the linear complementarity problem (LCP). By introducing a positive diagonal parameter matrix, the LCP is transformed into an equivalent fixed-point equation and the equivalence is proved.
Xi-Ming Fang
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SN Applied Sciences, 2021 This study proposes a method to analyse the motion of a multibody system with components subjected to large plastic deformations by contact and collision.
Shun Yamaguchi +2 more
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Novel Global Harmony Search Algorithm for General Linear Complementarity Problem
Axioms, 2022 Linear complementarity problem (LCP) is studied. After reforming general LCP as the system of nonlinear equations by NCP-function, LCP is equivalent to solving an unconstrained optimization model, which can be solved by a recently proposed algorithm ...
Longquan Yong
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Affinely Adjustable Robust Linear Complementarity Problems [PDF]
SIAM Journal on Optimization, 2022 Linear complementarity problems are a powerful tool for modeling many practically relevant situations such as market equilibria. They also connect many sub-areas of mathematics like game theory, optimization, and matrix theory. Despite their close relation to optimization, the protection of LCPs against uncertainties -- especially in the sense of ...
Christian Biefel +3 more
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New error bound for linear complementarity problem of S-SDDS-B matrices
AIMS Mathematics, 2022 S-SDDS-B matrices is a subclass of P-matrices which contains B-matrices. New error bound of the linear complementarity problem for S-SDDS-B matrices is presented, which improves the corresponding result in [1].
Lanlan Liu , Pan Han, Feng Wang
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The parameter-Newton iteration for the second-order cone linear complementarity problem
Electronic Research Archive, 2022 In this paper, we propose the parameter-Newton (PN) method to solve the second-order linear complementarity problem (SOCLCP). The key idea of PN method is that we transfer the SOCLCP into a system of nonlinear equations by bringing in a parameter.
Peng Zhou, Teng Wang
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Multiparametric Linear Complementarity Problems [PDF]
Proceedings of the 45th IEEE Conference on Decision and Control, 2006 The linear complementarity problem (LCP) is a general problem that unifies linear and quadratic programs and bimatrix games. In this paper, we present an efficient algorithm for the solution to multiparametric linear complementarity problems (pLCPs) that are defined by positive semi-definite matrices. This class of problems includes the multiparametric
Colin N. Jones, Manfred Morrari
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A note on fixed point method and linear complementarity problem
Journal of Numerical Analysis and Approximation Theory, 2023 In this article, we present a general form of the fixed point method for processing the large and sparse linear complementarity problem, as well as a general condition for the method's convergence when the system matrix is a \(P\)-matrix and some ...
Bharat Kumar, Deepmala, Arup K Das
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