In this paper we give an introduction to the numerical density matrix renormalization group (DMRG) algorithm, from the perspective of the more general matrix product state (MPS) formulation. We cover in detail the differences between the original DMRG formulation and the MPS approach, demonstrating the additional flexibility that arises from constructing both the wavefunction and the Hamiltonia...

In this paper, we describe the interface and implementation of the SuperMatrix runtime system. SuperMatrix exploits parallelism from matrix computations by mapping a linear algebra algorithm to a directed acyclic graph (DAG). We give detailed descriptions of how to dynamically construct a DAG where tasks consisting of matrix operations represent the nodes and data dependencies between tasks rep...

In this paper, the damage detection problem is formulated as an optimization problem such as to obtain the minimum difference between the numerical and experimental variables, and then a modified ant colony optimization (ACO) algorithm is proposed for solving this optimization problem. The structural damage in the shear buildings are detected by using dynamically measured flexibility matrix, si...

People usually research modulation mode 3 of SVM for matrix converter discussed in this paper. Actually, other different modulation modes of SVM for matrix converter are worth studying. Two novel modulation modes are put forward for matrix converter for the first time in this paper, expanding its modulation modes of SVM. First, SVM for matrix converter is described. Then the 3 modulation modes ...

Mixed matrix membranes (MMMs) were prepared by incorporating organic surfactant-free hydrothermally synthesised ETS-10 and 1-ethyl-3-methylimidazolium acetate ionic liquid (IL) to chitosan (CS) polymer matrix. The membrane material characteristics and permselectivity performance of the two-component membranes were compared with the three-component membrane and the pure CS membrane. The addition...

Gaussian network model (GNM) is one of the most accurate and efficient methods for biomolecular flexibility analysis. However, the systematic generalization of the GNM has been elusive. We show that the GNM Kirchhoff matrix can be built from the ideal low-pass filter, which is a special case of a wide class of correlation functions underpinning the linear scaling flexibility-rigidity index (FRI...

This paper presents a computationally efficient method for the modeling of robot manipulators with flexible links and joints. This approach combines the Discrete Time Transfer Matrix Method with the Finite Segment Method, in which the flexible links are discretized by a number of rigid segments connected by torsion springs; and the flexibility of joints are modeled by torsion springs. The propo...

This is the first attempt of empirical investigation of language mediated concept activation (LMCA) in bilingual memory as a cognitive mechanism facilitating divergent thinking. Russian-English bilingual and Russian monolingual college students were tested on a battery of tests including among others Abbreviated Torrance Tests for Adults assessing divergent thinking traits and translingual prim...

Cognitive flexibility is a central component of executive functions that allow us to behave meaningful in an ever changing environment. Here, we support a distinction between two different types of cognitive flexibility, shifting flexibility and spreading flexibility, based on independent underlying mechanisms commonly subsumed under the ability to shift cognitive sets. We use a homonym related...

Silvina P. Limandri,1,2 Alejo C. Carreras,1,3,* Rita D. Bonetto,1,4 and Jorge C. Trincavelli1,2 1Consejo Nacional de Investigaciones Cientı́ficas y Técnicas, C1033AAJ Buenos Aires, Argentina 2Facultad de Matemática, Astronomı́a y Fı́sica, UNC, 5000 Córdoba, Argentina 3Instituto de Investigaciones en Tecnologı́a Quı́mica, UNSL, CC290–5700 San Luis, Argentina 4Centro de Investigación y Desarrollo en C...