Results 51 to 60 of about 29,867,150 (377)
Iterative solution of a Dirac equation with inverse Hamiltonian method
, 2010 We solve a singe-particle Dirac equation with Woods-Saxon potentials using an iterative method in the coordinate space representation. By maximizing the expectation value of the inverse of the Dirac Hamiltonian, this method avoids the variational ...
J. J. Sakurai +4 more
core +1 more source
Iterative Solutions for Low Lying Excited States of a Class of Schroedinger Equation [PDF]
, 2006 The convergent iterative procedure for solving the groundstate Schroedinger equation is extended to derive the excitation energy and the wave function of the low-lying excited states. The method is applied to the one-dimensional quartic potential problem.
Friedberg R +3 more
core +2 more sources
Extending Broyden's method to interaction problems
Journal of Numerical Analysis and Approximation Theory, 2008 The solution of problems involving the interaction of different systems is a domain of ongoing research, although often a good solver already exists for each system separately.
Robby Haelterman +3 more
doaj +2 more sources
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 This paper presents a method for adding multiple tasks to a single deep neural network while avoiding catastrophic forgetting. Inspired by network pruning techniques, we exploit redundancies in large deep networks to free up parameters that can then be ...
Arun Mallya, Svetlana Lazebnik
semanticscholar +1 more source
The Averaged Kaczmarz Iteration for Solving Inverse Problems
, 2018 We introduce a new iterative regularization method for solving inverse problems that can be written as systems of linear or non-linear equations in Hilbert spaces.
Haltmeier, Markus, Li, Housen
core +1 more source
Single‐cell insights into the role of T cells in B‐cell malignancies
FEBS Letters, EarlyView.Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley +1 more source
Iterative solution of the pressure problem for the multiphase filtration
Mathematical Modelling and Analysis, 2012 Applied problems of oil and gas recovery are studied numerically using the mathematical models of multiphase fluid flows in porous media. The basic model includes the continuity equations and the Darcy laws for each phase, as well as the algebraic ...
Petr Vabishchevich, Maria Vasil'eva
doaj +1 more source
Blind Super-Resolution With Iterative Kernel Correction [PDF]
Computer Vision and Pattern Recognition, 2019 Deep learning based methods have dominated super-resolution (SR) field due to their remarkable performance in terms of effectiveness and efficiency. Most of these methods assume that the blur kernel during downsampling is predefined/known (e.g., bicubic).
Jinjin Gu, Hannan Lu, W. Zuo, Chao Dong
semanticscholar +1 more source
Chebyshev semi-iteration in Preconditioning [PDF]
, 2008 It is widely believed that Krylov subspace iterative methods are better than Chebyshev semi-iterative methods. When the solution of a linear system with a symmetric and positive definite coefficient matrix is required then the Conjugate Gradient method ...
Rees, Tyrone, Wathen, A. J.
core
A low complexity iterative channel estimation and equalisation scheme for (data-dependent) superimposed training [PDF]
, 2006 Channel estimation/symbol detection methods based on superimposed training (ST) are known to bemore bandwidth efficient than those based on traditional time-multiplexed training.
Alameda-Hernandez, E. +4 more
core +1 more source