157colonycelceacpabμLμAresidualnew: 10.0186640.0088540.0206905.580.1441370.0360975.04old: 10.0098000.0175000.01980023.360.4726000.09340017.19new: 20.0042120.0133510.0285416.770.5873140.0000057.25old: 20.0105000.0087000.01740011.240.5014000.09300014.24new: 30.0189040.0068580.0350826.470.2881250.0000624.37old: 30.0080000.0044000.0180005.340.5082000.1468004.66new: 40.0175200.0127980.0237056.790.2844140.0057746.47old: 40.0080000.0068000.0162007.200.5646000.1099007.42Table 26.1.Parameter estimates computed in Challenge 4 for our mini-mization function (“new”) and that of Dennis et al. (“old”).ColonyNorm of data vectorNew residualOld residualColony 133.555.0417.19Colony 233.707.2514.24Colony 333.444.374.66Colony 433.686.477.42Table 26.2.Residual norms computed in Challenge 4 for our minimizationfunction (“new”) and that of Dennis et al. (“old”).CHALLENGE 26.4.The bounds used were 0 and 1 for all parameters exceptb. The value ofbwas conFned to the interval [0
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This note was uploaded on 01/21/2012 for the course MAP 3302 taught by Professor Dr.robin during the Fall '11 term at University of Florida.