Results 61 to 70 of about 1,753,142 (356)

Local Convergence of Exquerro-Hernandez Method

Annals of the West University of Timisoara: Mathematics and Computer Science, 2016
Local convergence of Ezquerro-Hernandez iteration is investigated in the setting of finite dimensional spaces. A procedure to estimate the local convergence radius for this iteration is proposed.
Măruşter Ştefan
doaj   +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  

Accelerated Projected Gradient Method for Linear Inverse Problems with Sparsity Constraints

, 2008
Regularization of ill-posed linear inverse problems via $\ell_1$ penalization has been proposed for cases where the solution is known to be (almost) sparse. One way to obtain the minimizer of such an $\ell_1$ penalized functional is via an iterative soft-
A. Chambolle, A. Cohen, A. Cohen, A. Cohen, A. Cohen, B. Efron, C. Canuto, D.L. Donoho, D.L. Donoho, D.L. Donoho, D.L. Donoho, D.L. Donoho, D.L. Donoho, E. Candès, E.J. Candès, E.J. Candès, E.J. Candès, G. Teschke, H. Rauhut, H.W. Engl, I. Daubechies, I. Daubechies, I. Daubechies, I. Loris, Ignace Loris, Ingrid Daubechies, J.-L. Starck, J.-L. Starck, L.M. Brègman, M. Fornasier, M. Fornasier, M. Fornasier, M. Fornasier, M.A.T. Figueiredo, M.A.T. Figueiredo, Massimo Fornasier, O. Christensen, P.L. Combettes, R. Ramlau, S. Dahlke, S. Dahlke, S. Dahlke, S. Mallat, S. Wolfram, Y.I. Alber   +44 more
core   +2 more sources

Cellular liquid biopsy provides unique chances for disease monitoring, preclinical model generation and therapy adjustment in rare salivary gland cancer patients

Molecular Oncology, EarlyView.
We quantified and cultured circulating tumor cells (CTCs) of 62 patients with various cancer types and generated CTC‐derived tumoroid models from two salivary gland cancer patients. Cellular liquid biopsy‐derived information enabled molecular genetic assessment of systemic disease heterogeneity and functional testing for therapy selection in both ...
Nataša Stojanović Gužvić, Florian Lüke, Steffi Treitschke, Andrea Coluccio, Martin Hoffmann, Giancarlo Feliciello, Adithi Ravikumar Varadarajan, Xin Lu, Kathrin Weidele, Catherine Botteron, Silvia Materna–Reichelt, Felix Keil, Katja Evert, Florian Weber, Thomas Schamberger, Michael Althammer, Jirka Grosse, Dirk Hellwig, Christian Schulz, Stephan Seitz, Peter Ugocsai, Anke Schlenska‐Lange, Roman Mayr, Ulrich Kaiser, Wolfgang Dietmaier, Bernhard Polzer, Jens Warfsmann, Kamran Honarnejad, Tobias Pukrop, Daniel Heudobler, Christoph A. Klein, Christian Werno   +31 more
wiley   +1 more source

K-coverage based receiver placement optimisation in passive radar network

The Journal of Engineering, 2019
In passive radar network (PRN), the receiver placement optimisation which has the ability to improve the coverage performance attracts much attention recently.
Rui Xie, Xianrong Wan, Kai Luo, Jianxin Yi, Tao Jiang   +4 more
doaj   +1 more source

Computing the $\sin_{p}$ function via the inverse power method

, 2010
In this paper, we discuss a new iterative method for computing $\sin_{p}$. This function was introduced by Lindqvist in connection with the unidimensional nonlinear Dirichlet eigenvalue problem for the $p$-Laplacian.
Biezuner, Rodney Josué, Ercole, Grey, Martins, Eder Marinho   +2 more
core   +1 more source

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source

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, K. Hagino, S. E. Koonin, W. Greiner, Y. Tanimura   +4 more
core   +1 more source

Calculating particle pair potentials from fluid-state pair correlations: Iterative Ornstein-Zernike Inversion [PDF]

, 2017
An iterative Monte Carlo inversion method for the calculation of particle pair potentials from given particle pair correlations is proposed in this paper. The new method, which is best referred to as Iterative Ornstein-Zernike Inversion, represents a generalization and an improvement of the established Iterative Boltzmann Inversion technique [Reith, P\"
arxiv   +1 more source

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

Molecular Oncology, EarlyView.
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song, Zhe Wang, Guangji Zhang, Jiangxue Hou, Kaiqi Liu, Shuning Wei, Yan Li, Chunlin Zhou, Dong Lin, Min Wang, Hui Wei, Jianxiang Wang, Tao Cheng, Yingchang Mi   +13 more
wiley   +1 more source