Random Euler Method for Solving a System of Random Matrix Differential Initial Value Problem in Mean Square Sense
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2016, Vol 4, Issue 2
Abstract
In this paper, the random Euler method (REM) is used in solving system of random matrix differential initial value problems of first order. The existence and uniqueness theorem was proved. The REM is presented and the conditions for the mean square (m.s.) convergence are established. Numerical examples show that REM gives good results where some statistical properties of the numerical solutions are computed through numerical case studies.
Authors and Affiliations
M. A. Sohaly, Ahlam H. Tolba
Efficient Data Integrity and Auditing in Cloud by using Block Chain
The main aim of this paper is to discuss the usage of cloud storage services, enabling individuals to store their information in the cloud and keep away from the local data storage and maintenance expense. Numerous data...
Innovations in Time Related Expression Recognition Using LSTM Networks
The proposed architecture leverages the strengths of both Convolutional Neural Network (CNN) and Bidirectional Long Short-Term (BLSTM) to create a robust model for temporal expression recognition in clinical texts. The C...
Learning Assistant in Educational Field Using Automatic Speech Recognition
Automatic Speech recognition is the translation of spoken words into text. It takes speech data as input and divides it into small time domain frames. Speech signal processing considering speech signals stationary for a...
Comparative Analysis of a Novel Material, GPRA as Partial Replacement in Coarse Aggregate with Individual Materials
GPRA is a unique material made up of shredded glass, plastic, rubber, and aluminum particles. Concrete is abundantly used building material on the planet, requiring around 12.6 billion tons of natural resources to produc...
Automated Waves Files Splitting
The ASS (Automatic Speech Segmentation) Technique is used in this article to segment spontaneous speech into syllable-like units. The segmentation of the acoustic signal into syllabic units is an essential step in the co...