Results 41 to 50 of about 345,070 (184)

Group theoretical approach to the intertwined Hamiltonians

, 2001
We show that the finite difference B\"acklund formula for the Schr\"odinger Hamiltonians is a particular element of the transformation group on the set of Riccati equations considered by two of us in a previous paper.
Adler, Adler, Anderson, Andrianov, Andrianov, Andrianov, Andrianov, Andrianov, Andrianov, Andrianov, Arturo Ramos, Bagrov, Bagrov, Beckers, Beckers, Beckers, Calogero, Cariñena, Cariñena, Cariñena, Cariñena, Cariñena, Cariñena, Cooper, Crum, David J. Fernández C., del Olmo, del Olmo, Dongpei, Díaz, Fernández, Fernández, Fernández, Fernández, Fernández, Fernández, Gendenshteı̈, Gradshteyn, Harnad, Havlíc̆ec, Infeld, José F. Cariñena, Junker, Libermann, Matveev, Mielnik, Mielnik, Nieto, Reed, Rosas-Ortiz, Shabat, Strelchenya, Veselov   +52 more
core   +2 more sources

Event-based recursive distributed filtering over wireless sensor networks [PDF]

, 2015
In this technical note, the distributed filtering problem is investigated for a class of discrete time-varying systems with an event-based communication mechanism.
He, X, Liu, Q, Wang, Z, Zhou, DH
core   +1 more source

Performance improvement of discrete‐time linear‐quadratic regulators applied to uncertain linear systems using the Tikhonov regularization method

Asian Journal of Control, EarlyView.
Abstract The linear‐quadratic regulator (LQR) problem of optimal control of an uncertain discrete‐time linear system (DTLS) is revisited in this paper from the perspective of Tikhonov regularization. We show that an optimally chosen regularization parameter reduces, compared to the classical LQR, the values of a scalar error function, as well as the ...
Fernando Pazos, Amit Bhaya
wiley   +1 more source

Analytical and Numerical Soliton Solutions of the Shynaray II‐A Equation Using the G′G,1G$$ \left(\frac{G^{\prime }}{G},\frac{1}{G}\right) $$‐Expansion Method and Regularization‐Based Neural Networks

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq, H. W. A. Riaz, Sadique Rehman, M. Mamun Miah, Wen Xiu Ma   +4 more
wiley   +1 more source

The ground state energy of a massive scalar field in the background of a semi-transparent spherical shell [PDF]

, 1998
We calculate the zero point energy of a massive scalar field in the background of an infinitely thin spherical shell given by a potential of the delta function type. We use zeta functional regularization and express the regularized ground state energy in
Abramowitz M, Bordag M, Bordag M, Bordag M, Elizalde E, Elizalde E, Elizalde E, Erdelyi A, Evgrafov M A, Marco Scandurra, Taylor J R   +10 more
core   +2 more sources

The role of identification in data‐driven policy iteration: A system theoretic study

International Journal of Robust and Nonlinear Control, EarlyView.
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley   +1 more source

Option pricing for Heston model with tempered fractional Brownian motion

Results in Applied Mathematics
In this paper, the Heston model with tempered fractional Brownian motion is derived by modified Hawkes processes. Based on the affine technique, we present the characteristic function under this model and prove the existence, uniqueness, and regularity ...
Zhengguang Shi
doaj   +1 more source

Macroscopic Market Making Games

Mathematical Finance, EarlyView.
ABSTRACT Building on the macroscopic market making framework as a control problem, this paper investigates its extension to stochastic games. In the context of price competition, each agent is benchmarked against the best quote offered by the others. We begin with the linear case.
Ivan Guo, Shijia Jin
wiley   +1 more source

Robust filtering for a class of stochastic uncertain nonlinear time-delay systems via exponential state estimation [PDF]

, 2001
Copyright [2001] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Burnham, KJ, Wang, Z
core   +2 more sources

Fractional Novel Analytical Method (FNAM): An Improved Innovative Numerical Scheme to Solve Fractional Differential‐Difference Equations

Engineering Reports, Volume 8, Issue 2, February 2026.
This paper introduces the Fractional Novel Analytical Method (FNAM), a Taylor‐series‐based technique for approximating nonlinear fractional differential‐difference equations. Built on the Caputo derivative, FNAM achieves rapid convergence without relying on Adomian polynomials, perturbation schemes, or transform methods.
Uroosa Arshad, Mariam Sultana, Homan Emadifar, Atul Kumar   +3 more
wiley   +1 more source