Results 201 to 210 of about 66,000 (256)

A Facile Strategy for 3'-Terminal Functionalization of DNA and RNA via On-Column Conjugation with Integration into Tandem Oligonucleotide Synthesis. [PDF]

Curr Protoc
Saraya JS, O'Flaherty DK.
europepmc   +1 more source

Development of a surface enhanced Raman scattering lateral flow immunoassay with prolonged reproducibility and stability over time.

Analyst
Sloan-Dennison S, Clark B, Scullion KM, Smillie F, Laing S, Fineran P, Mair J, Rathmell C, Bingemann D, Faircloth J, Creasey D, Shand NC, Weir CJ, Dear JW, Graham D, Faulds K.   +15 more
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Evaluation of ToF-SIMS imaging for semi-quantitative mapping of BODIPY-labeled fibronectin surface gradients.

Analyst
Liu C, Kim TKJ, Wu DH, Atit R, Somoza RA, Senyo SE.   +5 more
europepmc   +1 more source

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Conjugate gradient method

WIREs Computational Statistics, 2001
AbstractThe conjugate gradient (CG) method for optimization and equation solving is described, along with three principal families of algorithms derived from it. In each case, a foundational CG algorithm is formulated mathematically and followed by a brief discussion of refinements and variants within its family.
Saul I. Gass, Carl M. Harris
openaire   +2 more sources

Deconvolution by the conjugate gradient method

ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Since it is practically difficult to generate and propagate an impulse, often a system is excited by a narrow time domain pulse. The output is recorded and then a numerical deconvolution is often done to extract the impulse response of the object.
Tapan K. Sarkar, Fung I. Tseng, Soheil A. Dianat, Bruce Z. Hollmann   +3 more
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Complex conjugate gradient methods

Numerical Algorithms, 1993
The paper is concerned with the solution of linear systems with non- singular complex matrices. A unified framework is presented from which various conjugate gradient-like methods for solving the above described systems are derived. The considered methods include both well-known methods and some new variants of these methods.
Pascal Joly, Gérard Meurant
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Duality in conjugate gradient methods

Numerical Algorithms, 1999
The authors present the reverse algorithms of \textit{Cs. J. Hegedüs} [Comput. Math. Appl. 21, No. 1, 71-85 (1991; Zbl 0727.65023)] in a new perspective and show how they are related to the more conventional algorithms if the latter is regarded as solving problems involving the original preconditioning matrices.
Broyden C. G., Foschi P.
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The Conjugate Gradient Method

2020
The conjugate gradient method was published by Hestenes and Stiefel in 1952, as a direct method for solving linear systems. Today its main use is as an iterative method for solving large sparse linear systems. On a test problem we show that it performs as well as the SOR method with optimal acceleration parameter, and we do not have to estimate any ...
Tom Lyche, Georg Muntingh, Øyvind Ryan
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On Restart Procedures for the Conjugate Gradient Method

Numerical Algorithms, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yu-Hong Dai, Li-Zhi Liao, Duan Li 0002
openaire   +1 more source