Computation of atomic fibers of Z-linear maps

Theoretical computation of the quantum transport of zigzag mono-layer Graphenes with various z-direction widths

The quantum transport computations have been carried on four different width of zigzag graphene using a nonequilibrium Green’s function method combined with density functional theory. The computed properties are included transmittance spectrum, electrical current and quantum conductance at the 0.3V as bias voltage.  The considered systems were composed from one-layer graphene sheets differing w...

Theoretical computation of the quantum transport of zigzag mono-layer Graphenes with various z-direction widths

The quantum transport computations have been carried on four different width of zigzag graphene using a nonequilibrium Green’s function method combined with density functional theory. The computed properties are included transmittance spectrum, electrical current and quantum conductance at the 0.3V as bias voltage.  The considered systems were composed from one-layer graphene sheets differing w...

A New Approach for Approximating Solution of Continuous Semi-Infinite Linear Programming

‎This paper describes a new optimization method for solving continuous semi-infinite linear problems‎. ‎With regard to the dual properties‎, ‎the problem is presented as a measure theoretical optimization problem‎, ‎in which the existence of the solution is guaranteed‎. ‎Then‎, ‎on the basis of the atomic measure properties‎, ‎a computation method was presented for obtaining the near optimal so...

Regularity of Bounded Tri-Linear Maps and the Fourth Adjoint of a Tri-Derivation

In this Article, we give a simple criterion for the regularity of a tri-linear mapping. We provide if f : X × Y × Z −→ W is a bounded tri-linear mapping and h : W −→ S is a bounded linear mapping, then f is regular if and only if hof is regular. We also shall give some necessary and sufficient conditions such that the fourth adjoint D^∗∗∗∗ of a tri-derivation D is again tri-derivation.

ستفاده ‎از خوشه‎بندی‌های پیاپی نقشه خودسازمانده برای بهبود پیش‌بینی پیک ‎بار الکتریکی روزانه مبتنی بر شبکه‌های عصبی پیشخوراند