Five-instant type discrete-time ZND solving discrete time-varying linear system, division and quadratic programming

J Li, Y Zhang, M Mao - Neurocomputing, 2019 - Elsevier
Discrete time-varying linear system (LS) is a fundamental topic in science and engineering.
However, conventional methods essentially designed for time-invariant LS generally …

[Retracted] Noise‐Tolerant Zeroing Neural Dynamics for Solving Hybrid Multilayered Time‐Varying Linear Equation System

J Li, Y Shi, Y Sun, J Fan… - Security and …, 2022 - Wiley Online Library
Resource allocation problem in a wireless sensor network can be formulated as time‐
varying optimization, which can be further converted as time‐varying linear equation system …

Multilayered hybrid time-varying problem solving based on integrated-enhanced zeroing neural network for robust manipulator control

Y Zhao, J Xiong - Heliyon, 2023 - cell.com
Robustness is a significant research direction in manipulator control owing to their
complicated and uncertain external environment, abrasion, and other factors. The ability to …

Residue harmonic balance for two-degree-of-freedom airfoils with cubic structural nonlinearity

AYT Leung, Z Guo - AIAA journal, 2011 - arc.aiaa.org
THE two-degree-of-freedom (2DOF) nonlinear oscillating systems have been widely
investigated in the past few decades [1–3]. Owing to the presence of nonlinearity, explicit …

Stability-constraint-free solutions to solve time-varying linear equation system

J Li, J Fan, X Zhu, Y Sun, Y Li - IEEE Access, 2022 - ieeexplore.ieee.org
Time-varying linear equation systems have been solved by the traditional zeroing neural
dynamics approach in recent years. However, this method has to satisfy the stability …

[PDF][PDF] Measuring the Performance of Parallel Information Processing in Solving Linear Equation Using Multiprocessor Supercomputer

F Hamad, A Alawamrah - Modern Applied Science, 2018 - pdfs.semanticscholar.org
Evaluating the performance of algorithms and its implementation methods play a major role
in the assessment of the performance of many applications. It help researchers to decide …

PEEC-based simulations using iterative method and regularization technique for power electronic applications

D Daroui, J Ekman - IEEE Transactions on Electromagnetic …, 2014 - ieeexplore.ieee.org
The partial element equivalent circuit (PEEC) method has been widely used in different
industrial and scientific fields for electromagnetic analysis. PEEC-based solvers have been …

Closed-form solutions for dense matrix-matrix multiplication on heterogeneous platforms using divisible load analysis

G Barlas, L El Hiny - 2018 26th Euromicro International …, 2018 - ieeexplore.ieee.org
In this paper we analytically solve the partitioning problem for performing matrix
multiplication on a cluster of heterogeneous multicore machines, equipped with an …

Scalable Model Counting for Program Analysis

S Kim - 2022 - search.proquest.com
Various model counting techniques have been proposed to show their scalability for
problem domains such as combinatorics, safety analysis, probabilistic inference and …

New parallel algorithms for direct solution of sparse linear systems: Part II—non-symmetric coefficient matrix

K Gopalan, CSR Murthy - International Journal of High Speed …, 1997 - World Scientific
In Part I of this paper, we proposed a new parallel bidirectional algorithm, based on
Cholesky factorization, for the solution of sparse symmetric system of linear equations. In this …