Publications
4 shownA Rank–One Reduction Formula and Its Applications to Matrix Factorizations
Let $A \in R^{m \times n} $ denote an arbitrary matrix. If $x \in R^n $ and $y \in R^m $ are vectors such that $\omega = y^T Ax \ne 0$, then the matrix $B: = A - \omega ^{ - 1} ...
The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables Separate
For given data $(t_i ,y_i ),i = 1, \cdots ,m$, we consider the least squares fit of nonlinear models of the form \[ \eta ({\bf a},{\boldsymbol \alpha} ;t) = \sum _{j = 1}^n {a_j...
Frequent Co-Authors
Researcher Info
- h-index
- 4
- Publications
- 4
- Citations
- 37,810
- Institution
- Stanford University
External Links
Impact Metrics
h-index
4
h-index: Number of publications with at least h citations each.