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In view of this, by introducing a smooth equation and some reasonable equivalent reformulations, we investigate a generalized Newton iteration method with high-order convergence rate for solving a class of large-scale linear complementarity problem, which make full use of the superiority of the second-order convergence rate of the classical Newton method.
In this paper, by extending the classical Newton method, we present the generalized Newton method (GNM) with high-order convergence for solving a class of large-scale linear complementarity problems, which is based on an additional parameter and a modulus-based nonlinear function.
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In this paper, we focus on two algorithms solved a class of large-scale nonlinear equations.
Based on the stochastic nonlinear time-delay system stability criterion and homogeneous domination approach, this paper solves the global decentralized output-feedback stabilization problem for a class of large-scale stochastic high-order nonlinear systems with multi-delays.
This paper presents a scheme for designing a totally decentralized adaptive stabilizers for a class of large-scale systems with subsystems having arbitrary relative degrees.
The model reference adaptive control problem is investigated for a class of large-scale systems with time-varying delays.
This paper presents a distributed fault detection and isolation (FDI) method for a class of large-scale nonlinear uncertain systems.
In this paper, a decentralized control approach for a class of large-scale interconnected systems is proposed.
Decentralized robust control problem is investigated for a class of large scale systems with time varying delays.
Meanwhile the simulated annealing algorithm is an effective approximation algorithm for solving these kinds of large-scale combinatorial optimization problems with the advantage of avoiding falling into the local optimization.
Our approach is suitable for solving a large class of optimization problems on a rectangle of Rn or unconstrained problems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com