source: trunk/MagicSoft/slalib/fitxy.c

Last change on this file was 731, checked in by tbretz, 24 years ago
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1#include "slalib.h"
2#include "slamac.h"
3void slaFitxy ( int itype, int np,
4 double xye[][2], double xym[][2], double coeffs[6],
5 int *j )
6/*
7** - - - - - - - - -
8** s l a F i t x y
9** - - - - - - - - -
10**
11** Fit a linear model to relate two sets of [x,y] coordinates.
12**
13** Given:
14** itype int type of model: 4 or 6 (note 1)
15** np int number of samples (note 2)
16** xye double[np][2] expected [x,y] for each sample
17** xym double[np][2] measured [x,y] for each sample
18**
19** Returned:
20** coeffs double[6] coefficients of model (note 3)
21** *j int status: 0 = OK
22** -1 = illegal itype
23** -2 = insufficient data
24** -3 = singular solution
25**
26** Notes:
27**
28** 1) itype, which must be either 4 or 6, selects the type of model
29** fitted. Both allowed itype values produce a model coeffs which
30** consists of six coefficients, namely the zero points and, for
31** each of xe and ye, the coefficient of xm and ym. For itype=6,
32** all six coefficients are independent, modelling squash and shear
33** as well as origin, scale, and orientation. However, itype=4
34** selects the "solid body rotation" option; the model coeffs
35** still consists of the same six coefficients, but now two of
36** them are used twice (appropriately signed). Origin, scale
37** and orientation are still modelled, but not squash or shear -
38** the units of x and y have to be the same.
39**
40** 2) For nc=4, np must be at least 2. For nc=6, np must be at
41** least 3.
42**
43** 3) The model is returned in the array coeffs. Naming the
44** elements of coeffs as follows:
45**
46** coeffs[0] = a
47** coeffs[1] = b
48** coeffs[2] = c
49** coeffs[3] = d
50** coeffs[4] = e
51** coeffs[5] = f
52**
53** The model is:
54**
55** xe = a + b*xm + c*ym
56** ye = d + e*xm + f*ym
57**
58** For the "solid body rotation" option (itype=4), the
59** magnitudes of b and f, and of c and e, are equal. The
60** signs of these coefficients depend on whether there is a
61** sign reversal between xe,ye and xm,ym. Fits are performed
62** with and without a sign reversal and the best one chosen.
63**
64** 4) Error status values j=-1 and -2 leave coeffs unchanged;
65** If j=-3 coeffs may have been changed.
66**
67** See also slaPxy, slaInvf, slaXy2xy, slaDcmpf
68**
69** Called: slaDmat, slaDmxv
70**
71** Last revision: 31 October 1993
72**
73** Copyright P.T.Wallace. All rights reserved.
74*/
75{
76 int i, jstat;
77 int iw[4];
78 int nsol;
79 double p, sxe, sxexm, sxeym, sye, syeym, syexm, sxm,
80 sym, sxmxm, sxmym, symym, xe, ye,
81 xm, ym, v[4], dm3[3][3], dm4[4][4], det,
82 sgn, sxxyy, sxyyx, sx2y2, a, b, c, d,
83 sdr2, xr, yr, aold, bold, cold, dold, sold;
84
85/* Preset the status */
86 *j = 0;
87
88/* Float the number of samples */
89 p = (double) np;
90
91/* Check itype */
92 if ( itype == 6 ) {
93
94/*
95** Six-coefficient linear model
96** ----------------------------
97*/
98
99 /* Check enough samples */
100 if ( np >= 3 ) {
101
102 /* Form summations */
103 sxe = 0.0;
104 sxexm = 0.0;
105 sxeym = 0.0;
106 sye = 0.0;
107 syeym = 0.0;
108 syexm = 0.0;
109 sxm = 0.0;
110 sym = 0.0;
111 sxmxm = 0.0;
112 sxmym = 0.0;
113 symym = 0.0;
114
115 for ( i = 0; i < np; i++ ) {
116 xe = xye[i][0];
117 ye = xye[i][1];
118 xm = xym[i][0];
119 ym = xym[i][1];
120 sxe = sxe + xe;
121 sxexm = sxexm + xe * xm;
122 sxeym = sxeym + xe * ym;
123 sye = sye + ye;
124 syeym = syeym + ye * ym;
125 syexm = syexm + ye * xm;
126 sxm = sxm + xm;
127 sym = sym + ym;
128 sxmxm = sxmxm + xm * xm;
129 sxmym = sxmym + xm * ym;
130 symym = symym + ym * ym;
131 }
132
133 /* Solve for a,b,c in xe = a + b*xm + c*ym */
134 v[0] = sxe;
135 v[1] = sxexm;
136 v[2] = sxeym;
137 dm3[0][0] = p;
138 dm3[0][1] = sxm;
139 dm3[0][2] = sym;
140 dm3[1][0] = sxm;
141 dm3[1][1] = sxmxm;
142 dm3[1][2] = sxmym;
143 dm3[2][0] = sym;
144 dm3[2][1] = sxmym;
145 dm3[2][2] = symym;
146 slaDmat ( 3, dm3[0], v, &det, &jstat, iw);
147 if (jstat == 0) {
148 for ( i = 0; i < 3; i++ ) {
149 coeffs[i] = v[i];
150 }
151
152 /* Solve for d,e,f in ye = d + e*xm + f*ym */
153 v[0] = sye;
154 v[1] = syexm;
155 v[2] = syeym;
156 slaDmxv ( dm3, v, &coeffs[3] );
157 } else {
158
159 /* No 6-coefficient solution possible */
160 *j = -3;
161 }
162 } else {
163
164 /* Insufficient data for 6-coefficient fit */
165 *j = -2;
166 }
167 } else if ( itype == 4 ) {
168
169 /*
170 ** Four-coefficient solid body rotation model
171 ** ------------------------------------------
172 */
173
174 /* Check enough samples */
175 if ( np >= 2 ) {
176
177 /* Try two solutions, first without then with flip in x */
178 for ( nsol = 1; nsol <= 2; nsol++ ) {
179 sgn = ( nsol == 1 ) ? 1.0 : -1.0;
180
181 /* Form summations*/
182 sxe = 0.0;
183 sxxyy = 0.0;
184 sxyyx = 0.0;
185 sye = 0.0;
186 sxm = 0.0;
187 sym = 0.0;
188 sx2y2 = 0.0;
189 for ( i = 0; i < np; i++ ) {
190 xe = xye[i][0] * sgn;
191 ye = xye[i][1];
192 xm = xym[i][0];
193 ym = xym[i][1];
194 sxe = sxe + xe;
195 sxxyy = sxxyy + xe * xm + ye * ym;
196 sxyyx = sxyyx + xe * ym - ye * xm;
197 sye = sye + ye;
198 sxm = sxm + xm;
199 sym = sym + ym;
200 sx2y2 = sx2y2 + xm * xm + ym * ym;
201 }
202
203 /*
204 ** Solve for a,b,c,d in: +/- xe = a + b*xm - c*ym
205 ** + ye = d + c*xm + b*ym
206 */
207 v[0] = sxe;
208 v[1] = sxxyy;
209 v[2] = sxyyx;
210 v[3] = sye;
211 dm4[0][0] = p;
212 dm4[0][1] = sxm;
213 dm4[0][2] = -sym;
214 dm4[0][3] = 0.0;
215 dm4[1][0] = sxm;
216 dm4[1][1] = sx2y2;
217 dm4[1][2] = 0.0;
218 dm4[1][3] = sym;
219 dm4[2][0] = sym;
220 dm4[2][1] = 0.0;
221 dm4[2][2] = -sx2y2;
222 dm4[2][3] = -sxm;
223 dm4[3][0] = 0.0;
224 dm4[3][1] = sym;
225 dm4[3][2] = sxm;
226 dm4[3][3] = p;
227 slaDmat ( 4, dm4[0], v, &det, &jstat, iw );
228 if ( jstat == 0 ) {
229 a = v[0];
230 b = v[1];
231 c = v[2];
232 d = v[3];
233
234 /* Determine sum of radial errors squared */
235 sdr2 = 0.0;
236 for ( i = 0; i < np; i++ ) {
237 xm = xym[i][0];
238 ym = xym[i][1];
239 xr = a + b * xm - c * ym - xye[i][0] * sgn;
240 yr = d + c * xm + b * ym- xye[i][1];
241 sdr2 = sdr2 + xr * xr + yr * yr;
242 }
243 } else {
244
245 /* Singular: set flag */
246 sdr2 = -1.0;
247 }
248
249 /* If first pass and non-singular, save variables */
250 if ( nsol == 1 && jstat == 0 ) {
251 aold = a;
252 bold = b;
253 cold = c;
254 dold = d;
255 sold = sdr2;
256 }
257 }
258
259 /* Pick the best of the two solutions */
260 if ( sold >= 0.0 && sold <= sdr2 ) {
261 coeffs[0] = aold;
262 coeffs[1] = bold;
263 coeffs[2] = -cold;
264 coeffs[3] = dold;
265 coeffs[4] = cold;
266 coeffs[5] = bold;
267 } else if ( jstat == 0 ) {
268 coeffs[0] = -a;
269 coeffs[1] = -b;
270 coeffs[2] = c;
271 coeffs[3] = d;
272 coeffs[4] = c;
273 coeffs[5] = b;
274 } else {
275
276 /* No 4-coefficient fit possible */
277 *j = -3;
278 }
279 } else {
280
281 /* Insufficient data for 4-coefficient fit */
282 *j = -2;
283 }
284 } else {
285
286 /* Illegal itype - not 4 or 6 */
287 *j = -1;
288 }
289}
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