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Detection and resolving jamming in RFID wireless network using Gauss Elimination method

2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016
Wireless networking plays a most important role to improve the human living standard by providing continuous connectivity and service by using networking devices. In today's world, technology makes more and more convenient life for everyone. Radio Frequency Identification Technology (RFID), which has been growing exponentially in many different ...
Dharin Patel   +5 more
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Performance bounds for column-block partitioning of parallel Gaussian elimination and Gauss-Jordan methods

Applied Numerical Mathematics, 1994
This paper gives asymptotic lower bounds for the performance of Gaussian elimination and the Gauss-Jordan algorithm on scalable distributed-memory parallel architectures. Asymptotic refers to the large size of the linear system being solved. Such bounds are given when the matrix is partitioned in square blocks or when it is column-partitioned.
Gerasoulis, Apostolos, Yang, Tao
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An efficient method for computing the outer inverse $A_{T,S}^{(2)}$ through Gauss-Jordan elimination

Numerical Algorithms, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jie Ma, Feng Gao, Yongshu Li
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Elimination of hourglass distortions by means of the Lagrangian–Gauss-point-mass method for compressible fluid flows

Computers & Fluids, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cheng, Junxia, Tian, Baolin
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MODELING OF GAUSS ELIMINATION METHOD FOR NON-LINEAR PROGRAMMING PROBLEM

The Gauss Elimination Method is a classical numerical technique widely used for solving systems of linear equations. However, its application in the context of non-linear programming problems (NLPs) presents both opportunities challenges for and methodological innovation.
Sanjay Jain, Adarsh Mangal
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Decoding of short LT codes over BIAWGN channels with Gauss-Jordan elimination-assisted belief propagation method

2015 Wireless Telecommunications Symposium (WTS), 2015
Belief propagation (BP) algorithm has been widely used for decoding LT codes. It is well known that the premature termination of the BP decoding due to the lack of degree one symbols in the ripple impairs the decoding performance of the code. This problem has been well studied and tackled for binary erasure channel (BEC).
Amrit Kharel, Lei Cao
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Conditionality of the intermediate matrices of the Gauss, Jordan and optimal elimination methods

USSR Computational Mathematics and Mathematical Physics, 1978
Abstract LET A be diagonally dominant, totally non-negative or positive-definite matrix. Estimates are obtained for the conditionality of the intermediate matrices of the Gauss, Jordan, and optimal elimination methods. The last method is a modification of Jordan elimination.
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MODELING OF GAUSS ELIMINATION METHOD FOR LINEAR AND FRACTIONAL PROGRAMMING PROBLEM

This chapter deals with the solution of various programming problems viz. Linear Programming Problem (LPP), and Linear Fractional Programming Problem (LFPP) by Gauss elimination method. Gauss elimination method is an important method to solve linear equations in the field of Numerical Analysis.
Sanjay Jain, Adarsh Mangal
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Taguchi and Gauss elimination method: A dual response approach for parametric optimization of CNC wire cut EDM of PRAlSiCMMC

The International Journal of Advanced Manufacturing Technology, 2005
Machining parameters tables provided by the machine tool manufacturers often do not meet the operator requirements and sometimes even do not provide efficient guidelines to manufacturing engineers. Hence, a suitable selection of machining parameters of CNC wire cut electrical discharge machining (EDM) process is necessary. This paper present a reliable
A. Manna, B. Bhattacharyya
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A Comparison of Gauss Elimination Method for Dense Linear Systems on Hypercube and Mesh Parallel Architectures

SSRN Electronic Journal, 2018
The problem of solving a system of N linear equations Ax = b (where A is a known N x N matrix, and b and x are, respectively, the known and unknown N x 1 vectors) is frequently encountered in many fields of science and engineering. Efficient numerical methods for solving this problem on uniprocessor systems have been developed. The Gaussian elimination
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