Results 161 to 170 of about 20,204 (210)

CREPE (CREate Primers and Evaluate): A Computational Tool for Large-Scale Primer Design and Specificity Analysis. [PDF]

Genes (Basel)
Pitsch JW, Wirth SA, Costantino NT, Mejia J, Doss RM, Warren AVA, Ustanik J, Yang X, Breuss MW.   +8 more
europepmc   +1 more source

Achieving well-informed decision-making in drug discovery: a comprehensive calibration study using neural network-based structure-activity models. [PDF]

J Cheminform
Friesacher HR, Engkvist O, Mervin L, Moreau Y, Arany A.   +4 more
europepmc   +1 more source

B Cells With Complementary B Cell Receptors Can Kill Each Other. [PDF]

Eur J Immunol
Gopalakrishnan RP, Østrøm MS, Skjeldal FM, Bakke O, Bogen B, Huszthy PC.   +5 more
europepmc   +1 more source

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Variable stepsize multivalue collocation methods

Applied Numerical Mathematics, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
A. Moradi, R. D'Ambrosio, B. Paternoster
openaire   +2 more sources

A Variable Stepsize, Variable Order Family of Low Complexity

SIAM Journal on Scientific Computing, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
DeCaria, Victor, Guzel, Ahmet, Layton, William, Li, Yi   +3 more
openaire   +2 more sources

Effective Backpropagation Training with Variable Stepsize

Neural Networks, 1997
The issue of variable stepsize in the backpropagation training algorithm has been widely investigated and several techniques employing heuristic factors have been suggested to improve training time and reduce convergence to local minima. In this contribution, backpropagation training is based on a modified steepest descent method which allows variable ...
George S., Androulakis, Michael N., Vrahatis, George D., Magoulas   +2 more
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ESIRK methods and variable stepsize

Applied Numerical Mathematics, 1998
Singly implicit Runge-Kutta methods (SIRK) have been introduced in order to reduce the implementation costs. Many of them, however, have the disadvantage that certain internal stages approximate the solution outside the integration interval. The idea of effective order permits to overcome this difficulty, but leads to a less straightforward ...
Butcher, J. C., Chen, D. J. L.
openaire   +2 more sources

The Convergence of Variable-Stepsize, Variable-Formula, Multistep Methods

SIAM Journal on Numerical Analysis, 1984
Die Verff. studieren das Verhalten von Mehrschrittverfahren auf variablen Gittern der Gestalt \[ y_{n+1}=\sum^{s_ n}_{i=0}a_{n,i}y_{n- i}+b_ nh_{n+1}y'\!_{n+1}+\sum^{r_ n}_{i=0}b_{n,i}h_{n- i}y'\!_{n-i} \] mit y'\({}_ i:=f(t_ i,y_ i)\). Die Stabilität des linearen Teils der Verfahren allein hat (unter passenden Voraussetzungen) die des gesamten ...
Crouzeix, M., Lisbona, F. J.
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The Stability of Variable-Stepsize Nordsieck Methods

SIAM Journal on Numerical Analysis, 1983
Conditions are given for the stability of multistep methods that vary the stepsize using the interpolation technique of Nordsieck. If the stepsize selection function is variation-bounded, then these methods are stable. Alternatively there exist constants a, b, c depending on the method and satisfying $a \leqq b < 1 < c$ such that if the stepsize ratio $
Skeel, R. D., Jackson, L. W.
openaire   +2 more sources