Eigenvalues of tridiagonal matrix using Strum Sequence and Gerschgorin theorem
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 12
Abstract
In this paper, computational efficient technique is proposed to calculate the eigenvalues of a tridiagonal system matrix using Strum sequence and Gerschgorin theorem. The proposed technique is applicable in various control system and computer engineering applications.
Authors and Affiliations
T. D. Roopamala , S. K. Katti
Keywords
Related Articles
- EP ID EP129764
- DOI -
- Views 118
- Downloads 0
Comprehensive Survey on DDOS attack with its mitigation Techniques
The remarkable development and accomplishment of Internet has changed the way customary vital administrations, for example, managing an account, transportation, prescription, training and guard are worked. Presently they...
An Approach to Automatic Generation of Test Cases Based on Use Cases in the Requirements Phase
The main aim of this paper is to generate test cases from the use cases. In the real-time scenario we have to face several issues like inaccuracy, ambiguity, and incompleteness in requirements this is because the require...
Improved Hybrid Clustering and Distance-based Technique for Outlier Removal
Outliers detection is a task that finds objects that are dissimilar or inconsistent with respect to the remaining data. It has many uses in applications like fraud detection, network intrusion detection and clinical diag...
DERIVATION OF CUSTOMER INTELLIGENCE FROM CUSTOMER KNOWLEDGE MANAGEMENT
In today’s world, knowledge has turned into a main element of the financial management. In fact, knowledge is the most essential strategic asset and the capacity to pick up and extend it, spread and apply it can remain t...
Identification and Removal of Impulsive noise using Hypergraph Model
Image noise is unwanted information of an image. Noise can occur during image capture, transmission, or processing and it may depend or may not depend on image content.. In order to remove the noise from the noisy image,...