C_(αβ)Toeplitz operatorHardy spaceBergman spaceIn this paper we describe the complete C αβ classification of analytic Toeplitz operators on the Hardy space and Bergman space.SUN Shan liDepartment of Mathematics, Jilin University, Changchun, 130023MA Ru ningDepartment of Mathematics, Jilin Universi...
A Clifford QCA is one that maps any Pauli operator to a finite tensor product of Pauli operators. Here, we obtain a complete table of groups C(d,p) of translation invariant Clifford QCA in any spatial dimension d≥0 modulo Clifford quantum circuits and shifts over prime p-dimensional qudit...
The operators&∧||are not listed in the table inReduction Variables. Except for&∧||, all the matrix operations of MATLAB have a corresponding functionf, such thatu op vis equivalent tof(u,v). For&∧||, such a function cannot be written becauseu&&vandu||vmight or might not evaluatev....
The fitness of a rule is assessed by its classification accuracy on a set of training samples. The genetic operators such as crossover and mutation are applied to create offspring. In crossover, the substring from pair of rules are swapped to form a new pair of rules. In mutation, randomly...
It also is operator valued, so both the scalar field φ(x)φ(x) and the vector field A(x)A(x) takes value on L(H)L(H) the space of linear operators on the Hilbert space HH. So considering all field types have same target space in QFT, how does one distinguish among the ...
Local climate zone (LCZ) maps that describe the urban surface structure and cover with consistency and comparability across cities are gaining applications in studies of urban heat waves, sustainable urbanization and urban energy balance. Following the standard World Urban Database and Access Portal Too...
In subject area: Computer Science The 'Classification Stage' in computer science refers to the process of determining whether points are inside or outside a defined volume based on a classification predicate, typically used in surface analysis and modeling. ...
A possible approach to reduce the annotation effort of operators in classification systems is the so-called active learning strategy [11], [12]. Active learning can be understood as any form of learning in which the learning algorithm has some control over the input samples based on which it ...
To supplement the already known classification of traces on classical pseudodifferential operators, we present a classification of traces on the algebras of odd-class pseudodifferential operators of non-positive order acting on smooth functions on a closed odd-dimensional manifold. By means of the one...
Deep learning models have been shown to be a powerful solution for Time Series Classification (TSC). State-of-the-art architectures, while producing promis