Abstract We introduce a general framework for large-scale model-based derivative-free optimization based on iterative minimization within random subspaces. present probabilistic worst-case complexity analysis our method, where in particular we prove high-probability bounds the number of iterations before given optimality is achieved. This specialized to nonlinear least-squares problems, with Ga...

palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. texture is one of the most important features extracted from low resolution images. in this paper, a new local descriptor, local composition derivative pattern (lcdp) is proposed to extract smartly stronger...

<p style='text-indent:20px;'>This paper provides a unified perspective of iterative ensemble Kalman methods, family derivative-free algorithms for parameter reconstruction and other related tasks. We identify, compare develop three subfamilies methods that differ in the objective they seek to minimize derivative-based optimization scheme approximate through ensemble. Our work emphasizes t...

Palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. Texture is one of the most important features extracted from low resolution images. In this paper, a new local descriptor, Local Composition Derivative Pattern (LCDP) is proposed to extract smartly stronger...

Two modified methods for assaying sodium diclofenac were developed by GC and HPLC. Diclofenac was converted into methyl ester derivative by methyl iodide in acetone. The ester was extract and subjected to GLC with flame ionization detector. %5 SE-30/chrom W-HP (80-100 mesh) was used as a column in GC. For reversed phase HPLC, the mobile phase was methanol and water (55-45). The separation was p...

In this paper, we present two new families of iterative methods for multiple roots of nonlinear equations. One of the families require one-function and two-derivative evaluation per step, and the other family requires two-function and one-derivative evaluation. It is shown that both are third-order convergent for multiple roots. Numerical examples suggest that each family member can be competit...