Abstract
Two distinct linear programming (LP) approaches have been used to estimate the unknown vector, x, the vector of source strengths. The first one was initially proposed by R. C. Henry. Alternatively, W. D. Fisher noted an LP method to fit data using the criterion of the least sum of deviations. Two different options of the LP methods have been tested using National Bureau of Standards (NBS) simulated data sets. Only the results for NBS data set one are presented here, and the data are used to compare the results of the two LP methods.
Original language | English |
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Title of host publication | Unknown Host Publication Title |
Publisher | Elsevier |
Pages | 363-366 |
Number of pages | 4 |
ISBN (Print) | 0444009477 |
State | Published - 1984 |
Externally published | Yes |