Results 231 to 240 of about 274,225 (273)

Mechano-mechanical parametric coupling in MEMS between GHz and kHz frequency regimes at room temperature. [PDF]

Microsyst Nanoeng
Kwon M, Arthaber H, Platz D, Schmid U.
europepmc   +1 more source

Quantum-like Cognition and Decision-Making: Interpretation of Phases in Quantum-like Superposition. [PDF]

Entropy (Basel)
Khrennikov A.
europepmc   +1 more source

Comparative study of third harmonic generation in carbon and silicene nanotubes under magnetic fields. [PDF]

Sci Rep
Chegel R.
europepmc   +1 more source

A Fourier-Jacobi Dirichlet series for cusp forms on orthogonal groups. [PDF]

Res Number Theory
Psyroukis R.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Twelve Limit Cycles in 3D Quadratic Vector Fields with Z3 Symmetry

International Journal of Bifurcation and Chaos, 2018
This paper is concerned with the number of limit cycles bifurcating in three-dimensional quadratic vector fields with [Formula: see text] symmetry. The system under consideration has three fine focus points which are symmetric about the [Formula: see text]-axis.
Laigang Guo, Pei Yu, Yufu Chen
openaire   +3 more sources

Vector fields and quadratic maps

The Journal of the Acoustical Society of America, 1998
Vector fields describing responses of nonlinear systems are often investigated by sampling on a suitable Poincaré section. For example, period-1 limit cycles yield one fixed point, period-2 two points, and so on. More information could be obtained if the full return map on the section rather than just the fixed points were known.
Huw G. Davies, Konstantinos Karagiosis
openaire   +1 more source

A smooth vector field for quadratic programming

2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012
In this paper we consider the class of convex optimization problems with affine inequality constraints and focus hereby on the class of quadratic programs. We propose a smooth vector field that is constructed such that its trajectories converge to the saddle point of the Lagrangian function associated to the convex optimization problem.
Hans-Bernd Durr, Erkin Saka, Christian Ebenbauer   +2 more
openaire   +1 more source