Inverse problem for the identification of parameters large-scale systems nonlinear ordinary differential equations (ODEs) arising in biology is analyzed. In a recent paper \textit{Mathematical Biosciences, 305(2018), 133-145}, authors implemented numerical method suggested by one \textit{J. Optim. Theory Appl., 85, 3(1995), 509-526} moderate scale models biology. This combines Pontryagin optimi...

Natural image statistics exhibit hierarchical dependencies across multiple scales. Representing such prior knowledge in non-factorial latent tree models can boost performance of image denoising, inpainting, deconvolution or reconstruction substantially, beyond standard factorial “sparse” methodology. We derive a large scale approximate Bayesian inference algorithm for linear models with nonfact...

data envelopment analysis (dea) models with interval inputs and outputs have been rarely discussed in dea literature. this paper, using the enhanced russell measurement proposes an extended model which permits the presence of interval scale variables which can take both negative and positive values. the model is compared with most well-known dea models of which include the ccr model, the bcc mo...