Results 111 to 120 of about 2,092,411 (198)

Discrete stochastic maximal regularity. [PDF]

Math Ann
Evangelopoulos-Ntemiris F, Veraar M.
europepmc   +1 more source

D-Flow SGLD: Source-Space Posterior Sampling for Scientific Inverse Problems with Flow Matching. [PDF]

J Comput Phys
Parikh MH, Chen Y, Wang JX.
europepmc   +1 more source

Quantization avoids saddle points in distributed optimization. [PDF]

Proc Natl Acad Sci U S A
Bo Y, Wang Y.
europepmc   +1 more source

Efficient EM Estimation for the Pogit Model via Polya-Gamma Augmentation. [PDF]

Entropy (Basel)
Gutiérrez I, Ramírez S, Jofré L.
europepmc   +1 more source

Rapid variable-step computation of dynamic convolutions and Volterra-type integro-differential equations: RK45 Fehlberg, RK4. [PDF]

Heliyon
Ndi Azese M.
europepmc   +1 more source

Seroresponse to repeated infections with Salmonella enterica Typhi and Paratyphi A. [PDF]

Epidemics
Teunis PFM, Seidman JC, Tamrakar D, Qamar FN, Saha SK, Garrett DO, Andrews JR, Charles RC, Aiemjoy K.   +8 more
europepmc   +1 more source

Performance Improvement of Variable Stepsize NLMS

Performance Improvement of Variable Stepsize NLMS
Improvement of the convergence characteristics of the NLMS algorithm has received attention in the area of adaptive filtering. A new variable stepsize NLMS method, in which the stepsize is updated optimally by using variances of the measured error signal and the estimated noise, is proposed. The optimal control equation of the stepsize has been derived
openaire   +1 more source

Accelerated Stochastic Conjugate Gradient for a class of convex optimization. [PDF]

PLoS One
He L, Du Y.
europepmc   +1 more source

Stepsize control for path tracking

, 2016
*Dedicated to our collaborator, mentor, and friend, Andrew Sommese, by Bates, Hauenstein, and Wampler on the occasion of his sixtieth birthday.* When numerically tracking implicitly-defined paths, such as is required for homotopy continuation methods ...
Jonathan Hauenstein (17332201), Daniel Bates (2524375), Andrew Sommese (17332393), Charles Wampler II (17668326)   +3 more
core  

A steady-state MR fingerprinting sequence optimization framework applied to the fast 3D quantification of fat fraction and water T1 in the thigh muscles. [PDF]

Magn Reson Med
Slioussarenko C, Baudin PY, Marty B.
europepmc   +1 more source