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ITHEA Classification Structure > G. Mathematics of Computing  > G.1 NUMERICAL ANALYSIS  > G.1.3 Numerical Linear Algebra 
ITHEA Classification Structure > G. Mathematics of Computing  > G.1 NUMERICAL ANALYSIS  > G.1.6 Optimization 
ITHEA Classification Structure > I. Computing Methodologies  > I.5 PATTERN RECOGNITION 
TWO APPROACHES TO ONE OPTIMIZATION PROBLEM IN RECOGNITION THEORY
By: Nataliya Katerinochkina (4368 reads)
Rating: (1.00/10)

Abstract: In recognition theory a number of optimization problems appear. The search for the maximum solvable subsystem of the system of linear inequalities is one of these tasks. In this paper two approximation solution methods for given problem are proposed. The first method is based on the theory of nodal solutions of systems of linear inequalities. But the second algorithm principally differs from the first: it is based on some reasoning of geometric nature. The comparison of the represented methods is produced in the number of problems.

Keywords: recognition, optimization, system of linear inequalities, nodal solution

ACM Classification Keywords: G.1.6 Optimization – Constrained Optimization, G.1.3 Numerical Linear Algebra – Linear Systems, I.5 Pattern Recognition

Link:

TWO APPROACHES TO ONE OPTIMIZATION PROBLEM IN RECOGNITION THEORY

Nataliya Katerinochkina

http://foibg.com/ijitk/ijitk-vol05/ijitk05-1-p09.pdf

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G.1.3 Numerical Linear Algebra
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G.1.6 Optimization
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I.5 PATTERN RECOGNITION
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