Sparse Linear Regression (SPLINER) Approach for Efficient Multidimensional Uncertainty Quantification of High-Speed Circuits

Journal article

Majid Ahadi, Sourajeet Roy
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2016

Cite

APA Click to copy
Ahadi, M., & Roy, S. (2016). Sparse Linear Regression (SPLINER) Approach for Efficient Multidimensional Uncertainty Quantification of High-Speed Circuits. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Chicago/Turabian Click to copy
Ahadi, Majid, and Sourajeet Roy. “Sparse Linear Regression (SPLINER) Approach for Efficient Multidimensional Uncertainty Quantification of High-Speed Circuits.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2016).

MLA Click to copy
Ahadi, Majid, and Sourajeet Roy. “Sparse Linear Regression (SPLINER) Approach for Efficient Multidimensional Uncertainty Quantification of High-Speed Circuits.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2016.

BibTeX Click to copy

@article{majid2016a,
  title = {Sparse Linear Regression (SPLINER) Approach for Efficient Multidimensional Uncertainty Quantification of High-Speed Circuits},
  year = {2016},
  journal = {IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems},
  author = {Ahadi, Majid and Roy, Sourajeet}
}