In this equation, the non-linearity is considered as an additive non-linear term Qf(x(t), u(t),t)), i.e., the system dynamics can be separated into linear and non-linear parts. This kind of non-linear dynamic structure exists in some non-linear chemical processes [17,21,64]. For...
The minimum input to the algorithm is a sequence of empirical data and the model order. Using this information, the algorithm searches for an optimal model structure and parameters within a rich non-linear model family. The model representation is based on the interpolation of a number of ...
C Python Quadratic Majorization-Minimization (MM) optimization algorithms of half-quadratic criteria. Inverses problems, image restoration, denoising, ... pythondata-scienceoptimizationimage-processingoptimization-methodsdata-processinginverse-problemsnonlinear-optimizationoptimization-algorithmsdenoisingnon-linear-optimi...
Among linear lncRNAs, lincRNAs are the most conspicuous group and include some of the most well-studied examples, in development and in cancer.59LincRNAX-inactive specific transcript(Xist), which is responsible for X chromosome inactivation and gene dosage compensation, was discovered in the early...
However, this is not the case for experienced teams, where the relationship is fairly linear. Additionally, we observe that riskier teams tend to perform worse. Moreover, our research also highlights the potential of e-sports data in advancing behavioral science and management research. The ...
Refers to the class of models for which the dependence between two random variables has a more general functional form than a linear equation and/or can change over time. Structural change : A change in the model describing a time series, with no expected reversal of the change. ...
travel-time calculation and probabilistic, non-linear, global-search earthquake location in 3D structures, and for visualisation of 3D volume data and location results. Many of the programs operate with a 3D Grid structure which defines a specific, gridded, rectangular volume (Non-GLOBAL mode) or...
No bad local minima: Data independent training error guarantees for multilayer neural networks (2016) Sparse Vectors in Linear Subspaces (See Structured Element Pursuit ) Nonnegative/Sparse Principal Component Analysis Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates (2016) No...
Section 3 contains a summary of the main theoretical approaches to describing non-thermal fixed points in ultracold quantum gases. In Sect. 4, we compare the analytical predictions with numerical simulations and discuss the role of non-linear (topological) excitations. Section 5 summarises ...
{C}_{2}=3\)but a vanishing first Chern number. In addition, by further increasing the value ofa(m = 0.7,a = 3.2), the topological bandgap around\(\varepsilon \)=0 is closed, and other two bandgaps around\(\varepsilon=\pm3.2\)appear, as shown in Fig.1e. We also ...