Results 51 to 60 of about 2,737 (182)
, 2013 In general, it is not necessarily possible to identify a distribution function from data that sample the function. This is because identifying a distribution function is mathematically equivalent to estimating the infinite number of moments that are ...
Jason M. Tennessen (489509) +3 more
core +1 more source
A unified analytical framework for Mössbauer synchrotron sources
Journal of Synchrotron Radiation, EarlyView.We present a unified analytical framework for Mössbauer synchrotron and X‐ray free‐electron laser sources that provides exact, rotationally invariant expressions for resonance energies and transition probabilities in mixed magnetic dipole–electric quadrupole interactions without Hamiltonian diagonalization.
Krzysztof R. Szymański
wiley +1 more source
Efficient Eigenvalue and Singular Value Computations on Shared Memory Machines
, 1998 We describe two techniques for speeding up eigenvalue and singular value computations on shared memory parallel computers. Depending on the information that is required, different steps in the overall process can be made more efficient.
Bruno Lang, Preprint Bughw-sc
core
USE OF KERNELS OF BICAUSAL OPERATORS IN SCALAR GAIN-PHASE PREDICTIVE CONTROL
, 1993 The implementation of the decomposition of linear discrete-time multivariable problems through either singular values/principal directions, or eigenvalues/eigenvectors is inherently anti-causal.
J.A. Rossiter +6 more
core +1 more source
Renormalization techniques for inflation systems and some of their applications
Acta Crystallographica Section A, EarlyView.In this work, renormalization methods for quantities related to the diffraction of inflation systems are surveyed.Exact renormalization techniques are important and powerful, particularly for inflation‐generated systems. We review recent results in this direction.
Michael Baake +4 more
wiley +1 more source
Structured eigenvectors, interlacing, and matrix completions
, 1996 This dissertation presents results from three areas of applicable matrix analysis: structured eigenvectors, interlacing, and matrix completion problems.
Kroschel, Brenda K.
core +1 more source
Economic Record, EarlyView.We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley +1 more source
Estimating the Largest Singular Values/Vectors of Large Sparse Matrices via Modified Moments
, 1995 This dissertation considers algorithms for determining a few of the largest singular values and corresponding vectors of large sparse matrices by solving equivalent eigenvalue problems.
Sowmini Varadhan
core
A refined iterative algorithm based on the block arnoldi process for large unsymmetric eigenproblems
, 1998 When the matrix in question is unsymmetric, the approximate eigenvectors or Ritz vectors obtained by orthogonal projection methods including Arnoldi's method and the block Arnoldi method cannot be guaranteed to converge in theory even if the ...
Zhongxiao Jia, Jia, Zhongxiao
core +1 more source
Survey on differential estimators for 3d point clouds
Computer Graphics Forum, EarlyView.Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger +4 more
wiley +1 more source