Computing the gradient of a function provides fundamental information about its behavior. This is essential for several applications and algorithms across various fields. One common application that require gradients are optimization techniques such as stochastic descent, Newton's method trust region methods. However, these methods usually requires numerical computation at every iteration which...

When using spectral methods, a consistent method for tuning the expansion order is often required, especially time-dependent problems in which oscillations emerge solution. In this paper, we propose frequency-dependent p-adaptive technique that adaptively adjusts based on frequency indicator. Using technique, combined with recently proposed scaling and moving techniques, are able to devise an a...

The Adaptive Optics technique has been developed to obtain the correction of atmospheric seeing. purpose this study is use MATLAB program investigate performance an AO system with most recent simulation tools, Objected-Oriented Matlab (OOMAO). This was achieved by studying variables that impact image quality correction, such as observation wavelength bands, parameters, telescope deformable mirr...

In this paper, an adaptive fuzzy control scheme is proposed for a class of perturbed strict-feedback nonlinear systems with unknown discrete and distributed time-varying delays, and the proposed design method does not require a priori knowledge of the signs of the control gains.Based on the backstepping technique, the adaptive fuzzy controller is constructed. The main contributions of the paper...

Introduction: The aim of the study was to investigate the structural and hemodynamic changes as well as cardiac transcriptional profile of the key regulatory proteins, sirtuins family (SIRT1-7), in adaptive and mal-adaptive phases of left ventricular hypertrophy (LVH). Methods: LVH was induced in male Wistar rats (190±20g) by abdominal aortic banding. The third and sixteenth weeks post-surgery ...

In the field of artificial intelligence, adaptive learning technique refers to combinations of artificial neural networks. In this thesis the adaptive learning technique is been implemented to carry out the Detection and Localization of heart sound. It can be implemented in the NS2 and MATLAB In ns2 part logic will identify the sound of heart and in matlab part heart sound is detected. The issu...

  The optimal harvesting policy is calculated as a function of the entering stock, the price state, the harvesting cost, and the rate of interest in the capital market. In order to determine the optimal harvest schedule, the growth function and stumpage price process are estimated for the Swedish mixed species forests. The stumpage price is assumed to follow a stochastic Markov process. A stoch...

This study examines the capability of the Relevance Vector Machine (RVM) and Multivariate Adaptive Regression Spline (MARS) for prediction of ultimate capacity of driven piles and drilled shafts. RVM is a sparse method for training generalized linear models, while MARS technique is basically an adaptive piece-wise regression approach. In this paper, pile capacity prediction models are developed...