نتایج جستجو برای: least square method lsm
تعداد نتایج: 2041833 فیلتر نتایج به سال:
Education is an important factor that can affect the development of a country and basic human need. To ensure continuous progress education, it necessary to pay attention results achievements education in Indonesia. In this research model, Partial Least Square Path Modeling (PLS PM) used explain relationship between outcomes quality dimensions provincial However, because there heterogeneity pop...
We develop least squares Monte Carlo (LSM) and approximate linear programming (ALP) methods for valuing multiple exercise options, such as energy swing and storage options, using term structure models. Our numerical and theoretical investigation shows the superiority of a rarely used LSM variant for estimating lower and upper bounds on the option value over the standard LSM version and the ALP ...
distinguishing the susceptible areas to landslide using different landslide susceptibility mapping (lsm) models is one of the primitive and basic works to reduce probable damages and reduce risk. the main purpose of this research is the efficiency evaluation of four methods including information value (winf), valuing area accumulation (wa), analytical hierarchy process (ahp), kopta-joshi propos...
localizing the optic disc (od) in retinal fundus images is of critical importance, since it is very similar to hard exudates (found in pathology) in color and brightness. because of the importance of od localization in clinical applications, many techniques have been developed. in this paper, we present the results obtained from two methods, correlation and least square, to approximate the opti...
This study introduces a decision-making evaluation method for flexibility in surfactant flooding. The method aims to capture the effects of uncertainty in the time series for both technical and economic parameters and produce a near-optimal policy with respect to these uncertainties as they vary with time. The evaluation method used was the least-squares Monte Carlo (LSM) method, which is best-...
Using an Efficient Penalty Method for Solving Linear Least Square Problem with Nonlinear Constraints
In this paper, we use a penalty method for solving the linear least squares problem with nonlinear constraints. In each iteration of penalty methods for solving the problem, the calculation of projected Hessian matrix is required. Given that the objective function is linear least squares, projected Hessian matrix of the penalty function consists of two parts that the exact amount of a part of i...
The recognition and the calculation of all branches of solutions of the nonlinear boundary value problems is difficult obviously. The complexity of this issue goes back to the being nonlinearity of the problem. Regarding this matter, this paper considers steady state reactive transport model which does not have exact closed-form solution and discovers existence of dual or triple solutions in so...
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