Results 41 to 50 of about 20,294 (194)

Variable-step finite difference schemes for the solution of Sturm-Liouville problems

open access: yes, 2014
We discuss the solution of regular and singular Sturm-Liouville problems by means of High Order Finite Difference Schemes. We describe a code to define a discrete problem and its numerical solution by means of linear algebra techniques.
Amodio, Pierluigi, Settanni, Giuseppina
core   +1 more source

A Novel Optimized Local Linearization Hybrid Block Method for Chaotic Systems: Applications to Stretch‐Twist‐Fold Flow and Bond Orbital Chaotic Attractors

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT The numerical approximation of nonlinear chaotic differential systems, such as the modified stretch‐twist‐fold (STF) flow and multi‐bond chaotic attractors, presents a significant challenge due to their sensitive dependence on initial conditions and complex dynamics where analytical solutions are unattainable.
Shina Daniel Oloniiju, Anastacia Dlamini
wiley   +1 more source

A chaos wolf optimization algorithm with self-adaptive variable step-size

open access: yesAIP Advances, 2017
To explore the problem of parameter optimization for complex nonlinear function, a chaos wolf optimization algorithm (CWOA) with self-adaptive variable step-size was proposed.
Yong Zhu   +4 more
doaj   +1 more source

Solubilities of CL‐20 and MDNT in Organic Solvents for Technical Cocrystallization

open access: yesPropellants, Explosives, Pyrotechnics, EarlyView.
ABSTRACT The 1:1 molar cocrystal of 2,4,6,8,10,12‐hexanitro‐2,4,6,8,10,12‐hexaazaisowurtzitane (CL‐20) and 1‐methyl‐3,5‐dinitro‐1,2,4‐triazole (MDNT) is reported to show a detonation velocity 100 m/s faster than β‐HMX. To establish a scalable synthesis method, the solubility of ε‐CL‐20 and MDNT was investigated.
Eduard Wegert   +2 more
wiley   +1 more source

Efficient interpolators in implicit block method for solving delay differential equations [PDF]

open access: yes, 2013
In this paper, the development of an implicit block method with variable stepsize variable order technique is described. The grid-point formulae for different number of blocks are derived.
Abdul Majid, Zanariah   +2 more
core  

A class of constant modulus algorithms for uniform linear arrays with a conjugate symmetric constraint [PDF]

open access: yes, 2010
A class of constant modulus algorithms (CMAs) subject to a conjugate symmetric constraint is proposed for blind beamforming based on the uniform linear array structure.
Biedka   +19 more
core   +1 more source

Convergent Interval Confirmation for Three‐Step Discrete Specific Zeroing Neural Dynamics Illustrated With Repetitive Motion Planning of Redundant Manipulators

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Repetitive motion planning (RMP) for redundant manipulators with high convergent precision becomes an intense research topic due to its more degrees of freedom. In this paper, a specific zeroing neural dynamics (SZND) model for the RMP is first set up via zeroing neurodynamics.
Ying Kong   +3 more
wiley   +1 more source

A Variable Step-Size Unconstrained Adaptive FD-LMS Algorithm for MDM Transmission

open access: yesIEEE Photonics Journal, 2018
Mode-division multiplexing (MDM) over few-mode fibers has been proposed to break through the Shannon limit of the single-mode fiber. Mode coupling and differential mode group delay are two major drawbacks, which limit the performance of the system.
Guijun Hu, Chengbin Huang
doaj   +1 more source

Distributed Optimization of Finite Condition Number for Laplacian Matrix in Multi‐Agent Systems

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 9, Page 5030-5043, June 2026.
ABSTRACT This paper addresses the distributed optimization of the finite condition number of the Laplacian matrix in multi‐agent systems. The finite condition number, defined as the ratio of the largest to the second smallest eigenvalue of the Laplacian matrix, plays an important role in determining the convergence rate and performance of consensus ...
Yicheng Xu, Faryar Jabbari
wiley   +1 more source

Successive Convex Approximation Algorithms for Sparse Signal Estimation with Nonconvex Regularizations

open access: yes, 2018
In this paper, we propose a successive convex approximation framework for sparse optimization where the nonsmooth regularization function in the objective function is nonconvex and it can be written as the difference of two convex functions. The proposed
Chatzinotas, Symeon   +3 more
core   +1 more source

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