We consider a dynamic pricing model where the purchase decisions of consumers are affected by a reference price that is updated on the basis of a few previo
In the traditional SLAM framework,the state estimate is updated at a fixed frequency.However,such an approach can be inefficient because there is no need to
For solving ill-conditioned trust region problem,we present a new algorithm that is the combination of the Conjugate Gradient(CG)method and the Projection C
The lasso of Tibshirani is a popular model for variable selections.The elastic net of Zou and Hastie applies Tikhonov's regularization to the lasso to break
In this work we propose an interior penalty approach to a finite-dimensional large-scale Linear Complementarity Problem(LCP)arising from the discretization