Results 61 to 70 of about 7,882 (230)
Tikhonov type regularization for unbounded operators
In this paper, we introduce a Tikhonov type regularization method for an ill-posed operator equation T x = y, where T is a closed densely defined unbounded operator on a Hilbert space H.
E Shine Lal, P Ramya
doaj +1 more source
Nonstationary Iterated Tikhonov Regularization
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Groetsch, Charles W., Hanke, Martin
openaire +2 more sources
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Some matrix nearness problems suggested by Tikhonov regularization [PDF]
The numerical solution of linear discrete ill-posed problems typically requires regularization, i.e., replacement of the available ill-conditioned problem by a nearby better conditioned one.
NOSCHESE, Silvia +3 more
core +1 more source
A mechanically adaptive polyimide interface dynamically stabilizes single‐crystal cathodes in sulfide all‐solid‐state batteries. By integrating robust chemical coordination with viscoelastic compliance, this smart coating suppresses parasitic reactions and accommodates cyclic volume expansion.
Jiatao Wu +8 more
wiley +1 more source
Superfast Tikhonov Regularization of Toeplitz Systems [PDF]
26 pages, 6 figures, 3 tables, 2 algorithms Submitted to IEEE Transactions on Signal Processing on 25 Feb ...
Christopher K. Turnes +2 more
openaire +2 more sources
Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction
This study proposes time‐delayed spiking reservoir computing (TDSRC) for efficient time series prediction. By concatenating time‐lagged states, TDSRC constructs an expanded readout feature vector without altering internal reservoir dynamics. This approach enables highly accurate forecasting with significantly fewer neurons, providing a resource ...
Pin Jin +3 more
wiley +1 more source
Neumann K, Emmerich C, Steil JJ. Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods. Journal of Intelligent Learning Systems and Applications. 2012;4(3):230-246.Neural networks based on high-dimensional
Emmerich, Christian +2 more
core +1 more source
Abstract The linear‐quadratic regulator (LQR) problem of optimal control of an uncertain discrete‐time linear system (DTLS) is revisited in this paper from the perspective of Tikhonov regularization. We show that an optimally chosen regularization parameter reduces, compared to the classical LQR, the values of a scalar error function, as well as the ...
Fernando Pazos, Amit Bhaya
wiley +1 more source
A [3]Rotaxane Containing {Ti7Ga} Rings Linking CuII: Synthesis, Structure, and Spectroscopic Studies
Extended hybrid inorganic‐organic [2]‐ and [3]‐rotaxanes are reported based on heterometallic rings with threads that link CuII complexes; the crystal structures are reported, and the solution behavior is investigated by double electron electron resonance spectroscopy methods.
Selena J. Lockyer +7 more
wiley +1 more source

