Results 1 to 10 of about 45 (43)
Complexity analysis of primal-dual algorithms for the semidefinite linear complementarity problem
Journal of Numerical Analysis and Approximation Theory, 2011 In this paper a primal-dual path-following interior-point algorithm for the monotone semidefinite linear complementarity problem is presented.
Mohamed Achache, Naima Boudiaf
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A Smoothing Method for Sparse Programs by Symmetric Cone Constrained Generalized Equations
Mathematics, 2023 In this paper, we consider a sparse program with symmetric cone constrained parameterized generalized equations (SPSCC). Such a problem is a symmetric cone analogue with vector optimization, and we aim to provide a smoothing framework for dealing with ...
Cong Cheng, Lianjie Tang
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Extensions of P-property, R0-property and semidefinite linear complementarity problems [PDF]
Yugoslav Journal of Operations Research, 2017 In this manuscript, we present some new results for the semidefinite linear complementarity problem, in the context of three notions for linear transformations, viz., pseudo w-P property, pseudo Jordan w-P property and pseudo SSM property ...
Jeyaraman I. +2 more
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A class of singular Ro-matrices and extensions to semidefinite linear complementarity problems [PDF]
Yugoslav Journal of Operations Research, 2013 For ARnxn and qRn, the linear complementarity problem LCP(A, q) is to determine if there is xRn such that x ≥ 0; y = Ax + q ≥ 0 and xT y = 0. Such an x is called a solution of LCP(A,q).
Sivakumar K.C.
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Croatian Operational Research Review, 2018 In this paper, a feasible primal-dual path-following interior-point algorithm for monotone semidefinite linear complementarity problems is proposed. At each iteration, the algorithm uses only full Nesterov-Todd feasible steps for tracing approximately ...
Mohamed Achache, Nersine Tabchouch
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Data‐driven emulation of flow‐dependent background‐error variance in variational data assimilation
Quarterly Journal of the Royal Meteorological Society, EarlyView.A machine‐learning approach is developed to emulate flow‐dependent background‐error variance within a variational data assimilation framework. The method reproduces uncertainty information that would normally require a 50‐member ensemble using only five members, while maintaining comparable observation fit and forecast performance.
Wei Pan +3 more
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Orbital Stabilization of Hybrid Mechanical Systems—A Port‐Hamiltonian Approach
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT In this article, we address the problem of stabilizing hybrid periodic orbits in mechanical systems characterized by both continuous and discrete dynamics. We introduce a total energy shaping controller, formulated in the port‐Hamiltonian framework, that guarantees asymptotic orbital stability of a prescribed hybrid periodic orbit.
Thomas O'Brien +2 more
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A Splitting Architecture for Exact Reduced Coulomb Friction
Computer Graphics Forum, EarlyView.Abstract Existing approaches to frictional contact dynamics typically either modify the Coulomb law to improve numerical robustness or solve the exact law in a fully coupled monolithic form. However, in its reduced form, exact Coulomb friction can be written as a cone complementarity problem with an augmented velocity, which reveals a natural split ...
Hongcheng Song +3 more
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The Evolution of Interest‐Rate Models: From the Yield Curve to the Swaption Cube
Journal of Economic Surveys, EarlyView.ABSTRACT Interest‐rate modelling is often taught as a catalogue of competing stochastic equations, obscuring why models were created and why modern sell‐side desks use several simultaneously. This survey reorganises the field around five layers of a pricing architecture: curve construction; arbitrage‐free dynamics; volatility‐smile representation ...
Xuan Feng +2 more
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Clinical and Translational Discovery, Volume 6, Issue 6, December 2026.Abstract Background Personalized neoantigen vaccine design for glioma requires the integration of mutation‐derived peptide evidence, molecular properties, HLA coverage and finite manufacturing capacity. TAMAVAQ/Q‐TAMAVAQ combines quantum‐geometric descriptor representation with graph transport and auditable peptide‐panel assembly.
Ioannis Grigoriadis
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