10. The following is an independently-observed station resection used toestablish coordinates for station S:вAThe coordinates of stations A, B, C, D, and E are to be assumed both fixedand errorless in a local Cartesian coordinate system. The coordinates ofstation S are to be determined using distances lı, l2, l3, l4, and Is observedusing an EDM instrument.The manufacturer specifications for the EDM used to perform the resectionclaim a standard deviation for each observation to be given by ± (3mm +2ppm).The observed distances and station coordinates are summarized as follows: StationX (m)Y (m)A-429.718382.389В1461.2512098.3153591.387-887.536D-1806.372-2932.472E-207.682-1381.648LineDistance Observation (m)672.3512477.8603576.22543521.137Is1430.781To set up a weighted, non-linear parametric least-squares adjustment of thegiven station resection data, give:(a) All necessary observation equations(b) The linearized equations(c) The weight matrix and a priori variance factor(d) The design matrix(e) The misclosure vector(f) The a priori parameter values.

Name: 10. The following is an independently-observed station resection used
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Description: 10. The following is an independently-observed station resection used toestablish coordinates for station S:вAThe coordinates of stations A, B, C, D, and E are to be assumed both fixedand errorless in a local Cartesian coordinate system. The coordin

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Station X (m) Y (m) A -429.718 382.389 B 1461.251 2098.315 3591.387 -887.536 D -1806.372 -2932.472 -207.682 -1381.648 Line Distance Observation (m) 672.351 2477.860 3576.225 3521.137 1430.781 To set up a weighted, non-linear parametric least-squares adjustment of the given station resection data, give: (a) All necessary observation equations (b) The linearized equations (c) The weight matrix and a priori variance factor (d) The design matrix (e) The misclosure vector (f) The a priori parameter values.

Station X (m) Y (m) A -429.718 382.389 B 1461.251 2098.315 3591.387 -887.536 D -1806.372 -2932.472 -207.682 -1381.648 Line Distance Observation (m) 672.351 2477.860 3576.225 3521.137 1430.781 To set up a weighted, non-linear parametric least-squares adjustment of the given station resection data, give: (a) All necessary observation equations (b) The linearized equations (c) The weight matrix and a priori variance factor (d) The design matrix (e) The misclosure vector (f) The a priori parameter values.

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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