Pages that link to "Item:Q2722623"
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The following pages link to Recursive least-squares and accelerated convergence in stochastic approximation schemes (Q2722623):
Displaying 9 items.
- Adaptive Lanczos methods for recursive condition estimation (Q1186619) (← links)
- Recursions for the two-stage least-squares estimators (Q1247154) (← links)
- Asymptotically optimal smoothing of averaged LMS estimates for regression parameter tracking (Q1614388) (← links)
- Worst-case recovery guarantees for least squares approximation using random samples (Q2243884) (← links)
- Semimartingale stochastic approximation procedure and recursive estimation (Q2255959) (← links)
- Recursive least squares and multi-innovation gradient estimation algorithms for bilinear stochastic systems (Q2399133) (← links)
- Recursive least squares and multi-innovation stochastic gradient parameter estimation methods for signal modeling (Q2400928) (← links)
- Recursive identification of time-varying systems: self-tuning and matrix RLS algorithms (Q2454068) (← links)
- Stochastic Estimation of the Frobenius Norm in the ACA Convergence Criterion (Q4586718) (← links)
