Robust balancing is a technique for maintaining generalized B-trees with a cumulative rebalancing cost that is asymptotically linear. It is especially significant in conjunction with fingers, which can make cumulative search cost linear. We define a new family of robust balancing algorithms which includes algorithms with sublinear rebalancing cost, extending previous work that has shown linear ...

In line with an ongoing programme to determine accurately x-ray attenuation coefficients, we have developed a method for the quantitative determination of the effect on experimental results of monochromator harmonic components in a synchrotron beam. The technique can be adapted to suit a wide variety of experiments, and is of particular interest because it determines the effect of the harmonic ...

We propose a new truncated Newton method for large scale unconstrained optimization, where a Conjugate Gradient (CG)-based technique is adopted to solve Newton’s equation. In the current iteration, the Krylov method computes a pair of search directions: the first approximates the Newton step of the quadratic convex model, while the second is a suitable negative curvature direction. A test based...

PURPOSE To compare the measured resection technique and the gap balancing technique for correction of the femoral rotational alignment. METHODS 57 women and 6 men (mean age, 70 years) with end-stage osteoarthritis and <15º malalignment and <10º flexion contracture of the knee underwent primary total knee arthroplasty through the medial approach using the measured resection technique (n=34) or...

In cellular networks including Long Term Evolution (LTE) systems, how to balance the load is indispensable because traffic load and local user densities vary dynamically. A load balancing problem occurs when available wireless resources are not enough to support the requirements of users. Such a problem may lead to blocked or dropped calls and degrade the quality of service. This paper proposes...

optimal balancing is a new approach based on optimal control a which modes, controls and the amount of equilibrium scale are calculated simultaneously. this approach has a significant effect on increasing performance of industrial robots which causes maximum decreasing of energy consumption. despite many applications of robotics such as welding and gluing, the path is predefined , but other unk...

We propose a new truncated Newton method for large scale unconstrained optimization, where a Conjugate Gradient (CG)-based technique is adopted to solve Newton’s equation. In the current iteration, the Krylov method computes a pair of search directions: the first approximates the Newton step of the quadratic convex model, while the second is a suitable negative curvature direction. A test based...

Repetitive control (RC) is gradually used in inverters tied with weak grid. To achieve the zero steady-state error tracking of inverter current and compensate harmonic distortion caused by frequency fluctuation, a adaptive (FA) scheme for LCL-type connected grid proposed. This adopts proportional resonance (PR) controller parallel RC (PRRC) to overcome disadvantages inherent one-cycle time dela...