Results 21 to 30 of about 20,294 (194)
Construction of Variable-Stepsize Multistep Formulas [PDF]
A systematic way of extending a general fixed-stepsize multistep formula to a minimum storage variable-stepsize formula has been discovered that encompasses fixed-coefficient (interpolatory), variable-coefficient (variable step), and fixed leading coefficient as special cases.
openaire +2 more sources
A Unified Successive Pseudo-Convex Approximation Framework [PDF]
In this paper, we propose a successive pseudo-convex approximation algorithm to efficiently compute stationary points for a large class of possibly nonconvex optimization problems.
Pesavento, Marius, Yang, Yang
core +2 more sources
A Variable Step-size CLMS Algorithm and Its Analysis [PDF]
In this paper, a hyperbolic tangent variable step-size convex combination of the least mean square (HTVSCLMS) algorithm is proposed and analyzed. This work avoids the compromise between the convergence speed and the steady-state error for two filters in ...
X. Fan, Z. Tan, P. Song, L. Chen
doaj
Optimization of Nordsieck's Method for the Numerical Integration of Ordinary Differential Equations [PDF]
Stability and accuracy of Nordsieck's integration method can be improved by choosing the zero-positions of the extraneous roots of the characteristic equation in a suitable way.
Brown +17 more
core +4 more sources
An almost cyclic 2-coordinate descent method for singly linearly constrained problems [PDF]
A block decomposition method is proposed for minimizing a (possibly non-convex) continuously differentiable function subject to one linear equality constraint and simple bounds on the variables.
Cristofari, Andrea
core +2 more sources
Long-term stability of variable stepsize approximations of semigroups [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bakaev, Nikolai, Ostermann, Alexander
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Efficient simulation of stochastic chemical kinetics with the Stochastic Bulirsch-Stoer extrapolation method [PDF]
BackgroundBiochemical systems with relatively low numbers of components must be simulated stochastically in order to capture their inherent noise. Although there has recently been considerable work on discrete stochastic solvers, there is still a need ...
Barrio, Manuel +3 more
core +5 more sources
A Parallel Best-Response Algorithm with Exact Line Search for Nonconvex Sparsity-Regularized Rank Minimization [PDF]
In this paper, we propose a convergent parallel best-response algorithm with the exact line search for the nondifferentiable nonconvex sparsity-regularized rank minimization problem.
Pesavento, Marius, Yang, Yang
core +2 more sources
The main difficulty in using artificial neural networks, which are designed for classification, to detect a rare subpixel target in hyperspectral imaging is that there is typically only one actual target pixel available for training the neural networks ...
Edisanter Lo, Damien B. Josset
doaj +1 more source
This paper presents and successfully applies an optimized hybrid block technique using a variable stepsize implementation to integrate a type of singularly perturbed parabolic convection–diffusion problems.
Mufutau Ajani Rufai +2 more
doaj +1 more source

