Retaining the basic idea of the standard linear–nonlinear decomposition method—the nonlinear part of a given chaotic system is used as a synchronization signal, hence the error system is always linear and allows precise stability analysis—the proposed method allows to design not only one, but a...
线性和非线性聚合物的相分离 LINEAR AND NONLINEAR PHASE DECOMPOSITION IN POLYMERS,线性和非线性聚合物的相分离 LINEAR AND NONLINE..
the authors review the scientific development in both the static and kinetic aspects of the spinodal decomposition(SD).Then,we describe the static scattering experiment,which measures the concentration fluctuations of a binary mixture.After that we present some recent theoretical calculations on the SD ...
We present a further development of the decomposition method [1,2], which leads to a single efficient and global method of solving linear or nonlinear, ordinary or partial differential equations for initial-value or boundary-value proble... G Adomian - 《Computers & Mathematics with Applications》...
Non-linearity Full scale measurement Wave-by-wave analysis Semi-Lagrangian measurement 1. Introduction Oceanic waves on the open sea exhibit both irregularity and nonlinearity in their behaviour. Wave records measured from oceanographic buoys remain indispensable in coastal and offshore engineering and play...
result of their excessive enrichment by human activity, but both terms should be clearly separated because a significant part of the nutrients content in the watercourse is not anthropogenic (as the results of runoff from the catchment area and the natural processes of decomposition of organic ...
This paper puts forth two new closure models for the proper orthogonal decomposition reduced-order modeling of structurally dominated turbulent flows: the ... W Zhu,I Akhtar,J Borggaard,... - 《Computer Methods in Applied Mechanics & Engineering》 被引量: 216发表: 2012年 Multilevel Regression ...
We present a neural network-based method for solving linear and nonlinear partial differential equations , by combining the ideas of extreme learning machines (ELM), domain decomposition and local neural networks. The field solution on each sub-domain is represented by a local feed-forward neural ...
Model reduction methods based on proper orthogonal decomposition (POD) have been developed for linear and nonlinear systems, see e.g. Astrid, Weiland, Willcox, and Backx (2008), Hinze and Volkwein (2005), Kunisch and Volkwein, 1999, Kunisch and Volkwein, 2008, Rowley, Colonius, and Murray ...
(PDTM). The PDTM can be easily applied to theinitial value problemswith less computational work. For the several illustrative examples, the computational results are compared with those obtained by many other methods; the Adomian decomposition, the variational iteration and the spline method. For ...