𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Hierarchical Nonlinear Approximation for Experimental Design and Statistical Data Fitting

✍ Scribed by Busby, Daniel; Farmer, Chris L.; Iske, Armin

Book ID
118190043
Publisher
Society for Industrial and Applied Mathematics
Year
2007
Tongue
English
Weight
445 KB
Volume
29
Category
Article
ISSN
1064-8275

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Robust observer design for sampled-data
Robust observer design for sampled-data Lipschitz nonlinear systems with exact and Euler approximate models
✍ Masoud Abbaszadeh; Horacio J. Marquez πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 231 KB

An LMI approach is proposed for the design of robust H ∞ observers for a class of Lipschitz nonlinear systems. Two type of systems are considered, Lipschitz nonlinear discrete-time systems and Lipschitz nonlinear sampled-data systems with Euler approximate discrete-time models. Observer convergence

Bioinformatics for High Throughput Seque
Bioinformatics for High Throughput Sequencing Volume 35D1 || Differential Expression for RNA Sequencing (RNA-Seq) Data: Mapping, Summarization, Statistical Analysis, and Experimental Design
✍ RodrΓ­guez-Ezpeleta, Naiara; Hackenberg, Michael; Aransay, Ana M. πŸ“‚ Article πŸ“… 2011 πŸ› Springer New York 🌐 English βš– 552 KB

Next generation sequencing is revolutionizing molecular biology. Owing to this new technology it is now possible to carry out a panoply of experiments at an unprecedented low cost and high speed. These go from sequencing whole genomes, transcriptomes and small non-coding RNAs to description of methy