Adaptive algorithm adjusts the system coefficients based on the measured data. This paper presents a dichotomous coordinate descent method to reduce the computational complexity and to improve the tracking ability based on the variable forgetting factor. Vedic mathematics is used to implement the multiplier and the divider operations in the VFF equations. The proposed method decreases the area and increases the computation speed. The linear exponentially weighted recursive least squares as the main algorithm is implemented in many applications such as the adaptive controller, the system identification, active noise cancellation techniques, and etc. The DCD method calculates the inverse matrix in the ERLS algorithm and decreases the resources used in the field-programmable gate array, also the designer can use the cheaper FPGA board to implement the adaptive algorithm because the method doesn't need lots of resources. The proposed method leads to implementing complex algorithms with simple structures and high technology. The proposed method is implemented with ISE software on the Spartan 6 Xilinx board. The proposed algorithm calculates the multiplication result with less than 15ns time and reduces the used FPGA resources to lower than 20% as compared with the classic RLS.

A review of major research performed in the field of earthquake engineering of bridges during the past decade is presented with a focus on computational modeling. Topics covered include nonlinear simulation, hazard analysis, passive, active, and hybrid control of bridges, bridge damage studies, health monitoring of bridges, bridge management, and retrofitting of bridges. Important conclusions of interest to the bridge engineering community reported in the articles are noted.

Models of Data envelopment analysis (DEA) can be partitioned in to two groups: radial and non-radial models. The performance of decision making units (DUMs) depends only on the identified efficient frontier characterized by efficient units. In the analytical framework of the radial efficiency measure, Russell measure is proposed, which is modeled by a non-linear programming formulation. This study develops the Russell measure of efficiency to measurement technical efficiency. This extensive of DEA models, is illustrated by an empirical application to bank branches.

There are two approaches for simulating memory as well as learning in artificial intelligence; the functionalistic approach and the cognitive approach. The necessary condition to put the second approach into account is to provide a model of brain activity that contains a quite good congruence with observational facts such as mistakes and forgotten experiences. Given that human memory has a solid core that includes the components of our identity, our family and our hometown, the major and determinative events of our lives, and the countless repeated and accepted facts of our culture, the more we go to the peripheral spots the data becomes flimsier and more easily exposed to oblivion. It was essential to propose a model in which the topographical differences are quite distinguishable. In our proposed model, we have translated this topographical situation into quantities, which are attributed to the nodes. The result is an edge-weighted graph with mass-based values on the nodes which demonstrates the importance of each atomic proposition, as a truth, for an intelligent being. Furthermore, it dynamically develops and modifies, and in successive phases, it changes the mass of the nodes and weight of the edges depending on gathered inputs from the environment.

This study investigated the reaction of molybdenocene dichloride complex (Cp2MoCl2) as anticancer agent with cytosine using mPW1PW91 functional. Three possible modes of the binding of cytosine to MoCp22+ were considered. Energetic aspects revealed trend of stability of these isomers as: II > I > III. Energy decomposition analysis (EDA), extended transition state-natural orbitals for chemical valence (ETS-NOCV) and Quantum theory of atoms in molecules (QTAIM) analysis provided deep insights into the nature and the strength of the molybdenocene–cytosine binding. EDA computations indicated most significance interaction in I-isomer. Charge decomposition analysis (CDA) was used to illustrate the transfer of charge between two fragments and explored maximum charge transfer from cytosine to MoCp22+ fragment in I-isomer.

computational dynamic programming, while of some use for situations typically encountered in industrial and systems engineering, has proved to be of much greater significance in many areas of computer science. We review some of these applications here.