نتایج جستجو برای: newton algorithm
تعداد نتایج: 768345 فیلتر نتایج به سال:
This expository article shows how the maximum likelihood estimation method and the Newton-Raphson algorithm can be used to estimate the parameters of the power-law Poisson process model used to analyze data from repairable systems .
artificial neural networks have the advantages such as learning, adaptation, fault-tolerance, parallelism and generalization. this paper is a scrutiny on the application of diverse learning methods in speed of convergence in neural networks. for this aim, first we introduce a perceptron method based on artificial neural networks which has been applied for solving a non-singula...
A modified version of the truncated-Newton algorithm of Nash ([24], 125], [29]) is presented differing from it only in the use of an exact Hessian vector product for carrying out the large-scale unconstrained optimization required in variational data assimilation. The exact Hessian vector product is obtained by solving an optimal control problem of distributed parameters. (i.e. the system under...
A quasi-Newton algorithm for semi-infinite programming using an Leo exact penalty function is described, and numerical results are presented. Comparisons with three Newton algorithms and one other quasi-Newton algorithm show that the algorithm is very promising in practice. AMS classifications: 65K05,90C30.
We present the first adaptive random directions Newton algorithm under i.i.d., symmetric, uniformly distributed perturbations for a general problem of optimization under noisy observations. We also present a simple gradient search scheme under the aforementioned perturbation random variates. Our Newton algorithm requires generating N perturbation variates and three simulations at each iteration...
Many efforts have been done in recent years to decrease the required time for analysis of FKP (Forward Kinematics Problem) of parallel robots.This paper starts with developing kinematics of a parallel robot and finishes with a suggested algorithm to solve forward kinematics of robots. In this paper, by combining the artificial neural networks and a 3rd-order numerical algorithm, an improved ...
An Efficient Inexact Newton-CG Algorithm for the Smallest Enclosing Ball Problem of Large Dimensions
In this paper, we consider the problem of computing the smallest enclosing ball (SEB) of a set of m balls in R, where the product mn is large. We first approximate the non-differentiable SEB problem by its log-exponential aggregation function and then propose a computationally efficient inexact Newton-CG algorithm for the smoothing approximation problem by exploiting its special (approximate) s...
in this paper, optimal distributed control of the time-dependent navier-stokes equations is considered. the control problem involves the minimization of a measure of the distance between the velocity field and a given target velocity field. a mixed numerical method involving a quasi-newton algorithm, a novel calculation of the gradients and an inhomogeneous navier-stokes solver, to find the opt...
Considering the wide applications of accelerometers to determine position and attitude and due to reducing of accuracy of this sensors because of some errors, this paper discusses the calibration of accelerometers. Also because the traditional calibration methods are very time consuming, costly and need precision laboratory equipment, in-field calibration methods are recommended which are simpl...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید