16 const int DeltaDegree = 6;
18 double MMCollisionInt::delta[8] = {0.0, 0.25, 0.50, 0.75, 1.0,
22 double quadInterp(
double x0,
double* x,
double* y)
24 double dx21 = x[1] - x[0];
25 double dx32 = x[2] - x[1];
26 double dx31 = dx21 + dx32;
27 double dy32 = y[2] - y[1];
28 double dy21 = y[1] - y[0];
29 double a = (dx21*dy32 - dy21*dx32)/(dx21*dx31*dx32);
30 return a*(x0 - x[0])*(x0 - x[1]) + (dy21/dx21)*(x0 - x[1]) + y[1];
33 double MMCollisionInt::tstar22[37] = {
34 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
35 1.2, 1.4, 1.6, 1.8, 2.0, 2.5, 3.0, 3.5, 4.0,
36 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 12.0, 14.0, 16.0,
37 18.0, 20.0, 25.0, 30.0, 35.0, 40.0, 50.0, 75.0, 100.0
41 4.1005, 4.266, 4.833, 5.742, 6.729, 8.624, 10.34, 11.89,
42 3.2626, 3.305, 3.516, 3.914, 4.433, 5.57, 6.637, 7.618,
43 2.8399, 2.836, 2.936, 3.168, 3.511, 4.329, 5.126, 5.874,
44 2.531, 2.522, 2.586, 2.749, 3.004, 3.64, 4.282, 4.895,
45 2.2837, 2.277, 2.329, 2.46, 2.665, 3.187, 3.727, 4.249,
46 2.0838, 2.081, 2.13, 2.243, 2.417, 2.862, 3.329, 3.786,
47 1.922, 1.924, 1.97, 2.072, 2.225, 2.614, 3.028, 3.435,
48 1.7902, 1.795, 1.84, 1.934, 2.07, 2.417, 2.788, 3.156,
49 1.6823, 1.689, 1.733, 1.82, 1.944, 2.258, 2.596, 2.933,
50 1.5929, 1.601, 1.644, 1.725, 1.838, 2.124, 2.435, 2.746,
51 1.4551, 1.465, 1.504, 1.574, 1.67, 1.913, 2.181, 2.451,
52 1.3551, 1.365, 1.4, 1.461, 1.544, 1.754, 1.989, 2.228,
53 1.28, 1.289, 1.321, 1.374, 1.447, 1.63, 1.838, 2.053,
54 1.2219, 1.231, 1.259, 1.306, 1.37, 1.532, 1.718, 1.912,
55 1.1757, 1.184, 1.209, 1.251, 1.307, 1.451, 1.618, 1.795,
56 1.0933, 1.1, 1.119, 1.15, 1.193, 1.304, 1.435, 1.578,
57 1.0388, 1.044, 1.059, 1.083, 1.117, 1.204, 1.31, 1.428,
58 0.99963, 1.004, 1.016, 1.035, 1.062, 1.133, 1.22, 1.319,
59 0.96988, 0.9732, 0.983, 0.9991, 1.021, 1.079, 1.153, 1.236,
60 0.92676, 0.9291, 0.936, 0.9473, 0.9628, 1.005, 1.058, 1.121,
61 0.89616, 0.8979, 0.903, 0.9114, 0.923, 0.9545, 0.9955, 1.044,
62 0.87272, 0.8741, 0.878, 0.8845, 0.8935, 0.9181, 0.9505, 0.9893,
63 0.85379, 0.8549, 0.858, 0.8632, 0.8703, 0.8901, 0.9164, 0.9482,
64 0.83795, 0.8388, 0.8414, 0.8456, 0.8515, 0.8678, 0.8895, 0.916,
65 0.82435, 0.8251, 0.8273, 0.8308, 0.8356, 0.8493, 0.8676, 0.8901,
66 0.80184, 0.8024, 0.8039, 0.8065, 0.8101, 0.8201, 0.8337, 0.8504,
67 0.78363, 0.784, 0.7852, 0.7872, 0.7899, 0.7976, 0.8081, 0.8212,
68 0.76834, 0.7687, 0.7696, 0.7712, 0.7733, 0.7794, 0.7878, 0.7983,
69 0.75518, 0.7554, 0.7562, 0.7575, 0.7592, 0.7642, 0.7711, 0.7797,
70 0.74364, 0.7438, 0.7445, 0.7455, 0.747, 0.7512, 0.7569, 0.7642,
71 0.71982, 0.72, 0.7204, 0.7211, 0.7221, 0.725, 0.7289, 0.7339,
72 0.70097, 0.7011, 0.7014, 0.7019, 0.7026, 0.7047, 0.7076, 0.7112,
73 0.68545, 0.6855, 0.6858, 0.6861, 0.6867, 0.6883, 0.6905, 0.6932,
74 0.67232, 0.6724, 0.6726, 0.6728, 0.6733, 0.6743, 0.6762, 0.6784,
75 0.65099, 0.651, 0.6512, 0.6513, 0.6516, 0.6524, 0.6534, 0.6546,
76 0.61397, 0.6141, 0.6143, 0.6145, 0.6147, 0.6148, 0.6148, 0.6147,
77 0.5887, 0.5889, 0.5894, 0.59, 0.5903, 0.5901, 0.5895, 0.5885
82 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0,
83 1.2, 1.4, 1.6, 1.8, 2.0, 2.5, 3.0, 3.5, 4.0,
84 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 12.0, 14.0, 16.0,
85 18.0, 20.0, 25.0, 30.0, 35.0, 40.0, 50.0, 75.0, 100.0, 500.0
89 1.0065, 1.0840, 1.0840, 1.0840, 1.0840, 1.0840, 1.0840, 1.0840,
90 1.0231, 1.0660, 1.0380, 1.0400, 1.0430, 1.0500, 1.0520, 1.0510,
91 1.0424, 1.0450, 1.0480, 1.0520, 1.0560, 1.0650, 1.0660, 1.0640,
92 1.0719, 1.0670, 1.0600, 1.0550, 1.0580, 1.0680, 1.0710, 1.0710,
93 1.0936, 1.0870, 1.0770, 1.0690, 1.0680, 1.0750, 1.0780, 1.0780,
94 1.1053, 1.0980, 1.0880, 1.0800, 1.0780, 1.0820, 1.0840, 1.0840,
95 1.1104, 1.1040, 1.0960, 1.0890, 1.0860, 1.0890, 1.0900, 1.0900,
96 1.1114, 1.1070, 1.1000, 1.0950, 1.0930, 1.0950, 1.0960, 1.0950,
97 1.1104, 1.1070, 1.1020, 1.0990, 1.0980, 1.1000, 1.1000, 1.0990,
98 1.1086, 1.1060, 1.1020, 1.1010, 1.1010, 1.1050, 1.1050, 1.1040,
99 1.1063, 1.1040, 1.1030, 1.1030, 1.1040, 1.1080, 1.1090, 1.1080,
100 1.1020, 1.1020, 1.1030, 1.1050, 1.1070, 1.1120, 1.1150, 1.1150,
101 1.0985, 1.0990, 1.1010, 1.1040, 1.1080, 1.1150, 1.1190, 1.1200,
102 1.0960, 1.0960, 1.0990, 1.1030, 1.1080, 1.1160, 1.1210, 1.1240,
103 1.0943, 1.0950, 1.0990, 1.1020, 1.1080, 1.1170, 1.1230, 1.1260,
104 1.0934, 1.0940, 1.0970, 1.1020, 1.1070, 1.1160, 1.1230, 1.1280,
105 1.0926, 1.0940, 1.0970, 1.0990, 1.1050, 1.1150, 1.1230, 1.1300,
106 1.0934, 1.0950, 1.0970, 1.0990, 1.1040, 1.1130, 1.1220, 1.1290,
107 1.0948, 1.0960, 1.0980, 1.1000, 1.1030, 1.1120, 1.1190, 1.1270,
108 1.0965, 1.0970, 1.0990, 1.1010, 1.1040, 1.1100, 1.1180, 1.1260,
109 1.0997, 1.1000, 1.1010, 1.1020, 1.1050, 1.1100, 1.1160, 1.1230,
110 1.1025, 1.1030, 1.1040, 1.1050, 1.1060, 1.1100, 1.1150, 1.1210,
111 1.1050, 1.1050, 1.1060, 1.1070, 1.1080, 1.1110, 1.1150, 1.1200,
112 1.1072, 1.1070, 1.1080, 1.1080, 1.1090, 1.1120, 1.1150, 1.1190,
113 1.1091, 1.1090, 1.1090, 1.1100, 1.1110, 1.1130, 1.1150, 1.1190,
114 1.1107, 1.1110, 1.1110, 1.1110, 1.1120, 1.1140, 1.1160, 1.1190,
115 1.1133, 1.1140, 1.1130, 1.1140, 1.1140, 1.1150, 1.1170, 1.1190,
116 1.1154, 1.1150, 1.1160, 1.1160, 1.1160, 1.1170, 1.1180, 1.1200,
117 1.1172, 1.1170, 1.1170, 1.1180, 1.1180, 1.1180, 1.1190, 1.1200,
118 1.1186, 1.1190, 1.1190, 1.1190, 1.1190, 1.1190, 1.1200, 1.1210,
119 1.1199, 1.1200, 1.1200, 1.1200, 1.1200, 1.1210, 1.1210, 1.1220,
120 1.1223, 1.1220, 1.1220, 1.1220, 1.1220, 1.1230, 1.1230, 1.1240,
121 1.1243, 1.1240, 1.1240, 1.1240, 1.1240, 1.1240, 1.1250, 1.1250,
122 1.1259, 1.1260, 1.1260, 1.1260, 1.1260, 1.1260, 1.1260, 1.1260,
123 1.1273, 1.1270, 1.1270, 1.1270, 1.1270, 1.1270, 1.1270, 1.1280,
124 1.1297, 1.1300, 1.1300, 1.1300, 1.1300, 1.1300, 1.1300, 1.1290,
125 1.1339, 1.1340, 1.1340, 1.1350, 1.1350, 1.1340, 1.1340, 1.1320,
126 1.1364, 1.1370, 1.1370, 1.1380, 1.1390, 1.1380, 1.1370, 1.1350,
127 1.14187, 1.14187, 1.14187, 1.14187, 1.14187, 1.14187, 1.14187,
132 1.1852, 1.2963, 1.2963, 1.2963, 1.2963, 1.2963,1.2963, 1.2963,
133 1.1960, 1.216, 1.237, 1.269, 1.285, 1.290, 1.297, 1.294,
134 1.2451, 1.257, 1.340, 1.389, 1.366, 1.327, 1.314, 1.278,
135 1.2900, 1.294, 1.272, 1.258, 1.262, 1.282, 1.290, 1.299,
136 1.2986, 1.291, 1.284, 1.278, 1.277, 1.288, 1.294, 1.297,
137 1.2865, 1.281, 1.276, 1.272, 1.277, 1.286, 1.292, 1.298,
138 1.2665, 1.264, 1.261, 1.263, 1.269, 1.284, 1.292, 1.298,
139 1.2455, 1.244, 1.248, 1.255, 1.262, 1.278, 1.289, 1.296,
140 1.2253, 1.225, 1.234, 1.240, 1.252, 1.271, 1.284, 1.295,
141 1.2078, 1.210, 1.216, 1.227, 1.242, 1.264, 1.281, 1.292,
142 1.1919, 1.192, 1.205, 1.216, 1.230, 1.256, 1.273, 1.287,
143 1.1678, 1.172, 1.181, 1.195, 1.209, 1.237, 1.261, 1.277,
144 1.1496, 1.155, 1.161, 1.174, 1.189, 1.221, 1.246, 1.266,
145 1.1366, 1.141, 1.147, 1.159, 1.174, 1.202, 1.231, 1.256,
146 1.1270, 1.130, 1.138, 1.148, 1.162, 1.191, 1.218, 1.242,
147 1.1197, 1.122, 1.129, 1.140, 1.149, 1.178, 1.205, 1.231,
148 1.1080, 1.110, 1.116, 1.122, 1.132, 1.154, 1.180, 1.205,
149 1.1016, 1.103, 1.107, 1.112, 1.120, 1.138, 1.160, 1.183,
150 1.0980, 1.099, 1.102, 1.106, 1.112, 1.127, 1.145, 1.165,
151 1.0958, 1.097, 1.099, 1.102, 1.107, 1.119, 1.135, 1.153,
152 1.0935, 1.094, 1.095, 1.097, 1.100, 1.109, 1.120, 1.134,
153 1.0925, 1.092, 1.094, 1.095, 1.098, 1.104, 1.112, 1.122,
154 1.0922, 1.092, 1.093, 1.094, 1.096, 1.100, 1.106, 1.115,
155 1.0922, 1.092, 1.093, 1.093, 1.095, 1.098, 1.103, 1.110,
156 1.0923, 1.092, 1.093, 1.093, 1.094, 1.097, 1.101, 1.106,
157 1.0923, 1.092, 1.092, 1.093, 1.094, 1.096, 1.099, 1.103,
158 1.0927, 1.093, 1.093, 1.093, 1.094, 1.095, 1.098, 1.101,
159 1.0930, 1.093, 1.093, 1.093, 1.094, 1.094, 1.096, 1.099,
160 1.0933, 1.094, 1.093, 1.094, 1.094, 1.095, 1.096, 1.098,
161 1.0937, 1.093, 1.094, 1.094, 1.094, 1.094, 1.096, 1.097,
162 1.0939, 1.094, 1.094, 1.094, 1.094, 1.095, 1.095, 1.097,
163 1.0943, 1.094, 1.094, 1.094, 1.095, 1.095, 1.096, 1.096,
164 1.0944, 1.095, 1.094, 1.094, 1.094, 1.095, 1.095, 1.096,
165 1.0944, 1.094, 1.095, 1.094, 1.094, 1.095, 1.096, 1.096,
166 1.0943, 1.095, 1.094, 1.094, 1.095, 1.095, 1.095, 1.095,
167 1.0941, 1.094, 1.094, 1.094, 1.094, 1.094, 1.094, 1.096,
168 1.0947, 1.095, 1.094, 1.094, 1.093, 1.093, 1.094, 1.095,
169 1.0957, 1.095, 1.094, 1.093, 1.092, 1.093, 1.093, 1.094,
170 1.10185, 1.10185, 1.10185, 1.10185, 1.10185, 1.10185, 1.10185,
175 0.8889, 0.77778, 0.77778,0.77778,0.77778,0.77778,0.77778,0.77778,
176 0.88575, 0.8988, 0.8378, 0.8029, 0.7876, 0.7805, 0.7799, 0.7801,
177 0.87268, 0.8692,0.8647,0.8479,0.8237,0.7975,0.7881,0.7784,
178 0.85182, 0.8525,0.8366,0.8198,0.8054,0.7903,0.7839,0.782,
179 0.83542, 0.8362,0.8306,0.8196,0.8076,0.7918,0.7842,0.7806,
180 0.82629, 0.8278,0.8252,0.8169,0.8074,0.7916,0.7838,0.7802,
181 0.82299, 0.8249,0.823,0.8165,0.8072,0.7922,0.7839,0.7798,
182 0.82357, 0.8257,0.8241,0.8178,0.8084,0.7927,0.7839,0.7794,
183 0.82657, 0.828,0.8264,0.8199,0.8107,0.7939,0.7842,0.7796,
184 0.8311, 0.8234,0.8295,0.8228,0.8136,0.796,0.7854,0.7798,
185 0.8363, 0.8366,0.8342,0.8267,0.8168,0.7986,0.7864,0.7805,
186 0.84762, 0.8474,0.8438,0.8358,0.825,0.8041,0.7904,0.7822,
187 0.85846, 0.8583,0.853,0.8444,0.8336,0.8118,0.7957,0.7854,
188 0.8684, 0.8674,0.8619,0.8531,0.8423,0.8186,0.8011,0.7898,
189 0.87713, 0.8755,0.8709,0.8616,0.8504,0.8265,0.8072,0.7939,
190 0.88479, 0.8831,0.8779,0.8695,0.8578,0.8338,0.8133,0.799,
191 0.89972, 0.8986,0.8936,0.8846,0.8742,0.8504,0.8294,0.8125,
192 0.91028, 0.9089,0.9043,0.8967,0.8869,0.8649,0.8438,0.8253,
193 0.91793, 0.9166,0.9125,0.9058,0.897,0.8768,0.8557,0.8372,
194 0.92371, 0.9226,0.9189,0.9128,0.905,0.8861,0.8664,0.8484,
195 0.93135, 0.9304,0.9274,0.9226,0.9164,0.9006,0.8833,0.8662,
196 0.93607, 0.9353,0.9329,0.9291,0.924,0.9109,0.8958,0.8802,
197 0.93927, 0.9387,0.9366,0.9334,0.9292,0.9162,0.905,0.8911,
198 0.94149, 0.9409,0.9393,0.9366,0.9331,0.9236,0.9122,0.8997,
199 0.94306, 0.9426,0.9412,0.9388,0.9357,0.9276,0.9175,0.9065,
200 0.94419, 0.9437,0.9425,0.9406,0.938,0.9308,0.9219,0.9119,
201 0.94571, 0.9455,0.9445,0.943,0.9409,0.9353,0.9283,0.9201,
202 0.94662, 0.9464,0.9456,0.9444,0.9428,0.9382,0.9325,0.9258,
203 0.94723, 0.9471,0.9464,0.9455,0.9442,0.9405,0.9355,0.9298,
204 0.94764, 0.9474,0.9469,0.9462,0.945,0.9418,0.9378,0.9328,
205 0.9479, 0.9478,0.9474,0.9465,0.9457,0.943,0.9394,0.9352,
206 0.94827, 0.9481,0.948,0.9472,0.9467,0.9447,0.9422,0.9391,
207 0.94842, 0.9484,0.9481,0.9478,0.9472,0.9458,0.9437,0.9415,
208 0.94852, 0.9484,0.9483,0.948,0.9475,0.9465,0.9449,0.943,
209 0.94861, 0.9487,0.9484,0.9481,0.9479,0.9468,0.9455,0.943,
210 0.94872, 0.9486,0.9486,0.9483,0.9482,0.9475,0.9464,0.9452,
211 0.94881, 0.9488,0.9489,0.949,0.9487,0.9482,0.9476,0.9468,
212 0.94863, 0.9487,0.9489,0.9491,0.9493,0.9491,0.9483,0.9476,
213 0.94444, 0.94444,0.94444,0.94444,0.94444,0.94444,0.94444,0.94444
223 for (
int n = 0; n < 37; n++) {
224 if (tsmin >
tstar[n+1]) {
227 if (tsmax >
tstar[n+1]) {
231 if (m_nmin < 0 || m_nmin >= 36 || m_nmax < 0 || m_nmax > 36) {
240 double e22 = 0.0, ea = 0.0, eb = 0.0, ec = 0.0;
243 writelog(
"Collision integral fits at each tabulated T* vs. delta*.\n"
244 "These polynomial fits are used to interpolate between "
245 "columns (delta*)\n in the Monchick and Mason tables."
246 " They are only used for nonzero delta*.\n");
248 writelog(
"polynomial coefficients not printed (log_level < 4)\n");
252 for (
int i = 0; i < 37; i++) {
254 vector<double> c(DeltaDegree+1);
256 double rmserr = fitDelta(0, i, DeltaDegree, c.data());
261 m_o22poly.push_back(c);
262 e22 = std::max(e22, rmserr);
264 rmserr = fitDelta(1, i, DeltaDegree, c.data());
265 m_apoly.push_back(c);
269 ea = std::max(ea, rmserr);
271 rmserr = fitDelta(2, i, DeltaDegree, c.data());
272 m_bpoly.push_back(c);
276 eb = std::max(eb, rmserr);
278 rmserr = fitDelta(3, i, DeltaDegree, c.data());
279 m_cpoly.push_back(c);
283 ec = std::max(ec, rmserr);
286 writelogf(
"max RMS errors in fits vs. delta*:\n"
287 " omega_22 = %12.6g \n"
290 " C* = %12.6g \n", e22, ea, eb, ec);
295 double MMCollisionInt::fitDelta(
int table,
int ntstar,
int degree,
double* c)
316 return polyfit(8, degree, delta, begin, w.data(), c);
319 double MMCollisionInt::omega22(
double ts,
double deltastar)
322 for (i = 0; i < 37; i++) {
323 if (ts < tstar22[i]) {
327 int i1 = std::max(i - 1, 0);
333 vector<double> values(3);
334 for (i = i1; i < i2; i++) {
335 if (deltastar == 0.0) {
338 values[i-i1] =
poly6(deltastar, m_o22poly[i].data());
341 return quadInterp(log(ts), &
m_logTemp[i1], values.data());
344 double MMCollisionInt::astar(
double ts,
double deltastar)
347 for (i = 0; i < 37; i++)
if (ts < tstar22[i]) {
350 int i1 = std::max(i - 1, 0);
356 vector<double> values(3);
357 for (i = i1; i < i2; i++) {
358 if (deltastar == 0.0) {
361 values[i-i1] =
poly6(deltastar, m_apoly[i].data());
364 return quadInterp(log(ts), &
m_logTemp[i1], values.data());
367 double MMCollisionInt::bstar(
double ts,
double deltastar)
370 for (i = 0; i < 37; i++)
if (ts < tstar22[i]) {
373 int i1 = std::max(i - 1, 0);
379 vector<double> values(3);
380 for (i = i1; i < i2; i++) {
381 if (deltastar == 0.0) {
384 values[i-i1] =
poly6(deltastar, m_bpoly[i].data());
387 return quadInterp(log(ts), &
m_logTemp[i1], values.data());
390 double MMCollisionInt::cstar(
double ts,
double deltastar)
393 for (i = 0; i < 37; i++)
if (ts < tstar22[i]) {
396 int i1 = std::max(i - 1,0);
402 vector<double> values(3);
403 for (i = i1; i < i2; i++) {
404 if (deltastar == 0.0) {
407 values[i-i1] =
poly6(deltastar, m_cpoly[i].data());
410 return quadInterp(log(ts), &
m_logTemp[i1], values.data());
413 void MMCollisionInt::fit_omega22(
int degree,
double deltastar,
double* o22)
415 int n = m_nmax - m_nmin + 1;
416 vector<double> values(n);
419 for (
int i = 0; i < n; i++) {
420 if (deltastar == 0.0) {
423 values[i] =
poly6(deltastar, m_o22poly[i+m_nmin].data());
427 double rmserr =
polyfit(n, degree, logT, values.data(), w.data(), o22);
430 "RMS error = {:12.6g} in omega_22 fit "
431 "with delta* = {:12.6g}", rmserr, deltastar);
435 void MMCollisionInt::fit(
int degree,
double deltastar,
double* a,
double* b,
double* c)
437 int n = m_nmax - m_nmin + 1;
438 vector<double> values(n);
441 for (
int i = 0; i < n; i++) {
442 if (deltastar == 0.0) {
445 values[i] =
poly6(deltastar, m_apoly[i+m_nmin].data());
449 double rmserr =
polyfit(n, degree, logT, values.data(), w.data(), a);
451 for (
int i = 0; i < n; i++) {
452 if (deltastar == 0.0) {
455 values[i] =
poly6(deltastar, m_bpoly[i+m_nmin].data());
459 rmserr =
polyfit(n, degree, logT, values.data(), w.data(), b);
461 for (
int i = 0; i < n; i++) {
462 if (deltastar == 0.0) {
465 values[i] =
poly6(deltastar, m_cpoly[i+m_nmin].data());
469 rmserr =
polyfit(n, degree, logT, values.data(), w.data(), c);
471 writelogf(
"\nT* fit at delta* = %.6g\n", deltastar);
476 "RMS error = {:12.6g} for A* fit", rmserr);
482 "RMS error = {:12.6g} for B* fit", rmserr);
488 "RMS error = {:12.6g} for C* fit", rmserr);
Monchick and Mason collision integrals.
void init(double tsmin, double tsmax, int loglevel=0)
Initialize the object for calculation.
static double astar_table[39 *8]
astar table from MM
static double cstar_table[39 *8]
cstar table from MM
static double tstar[39]
table of tstar values
static double omega22_table[37 *8]
Table of omega22 values from MM.
static double bstar_table[39 *8]
bstar table from MM
vector< double > m_logTemp
Log temp.
This file contains definitions for utility functions and text for modules, inputfiles and logging,...
string vec2str(const vector< double > &v, const string &fmt, const string &sep)
Convert a vector to a string (separated by commas)
void debuglog(const string &msg, int loglevel)
Write a message to the log only if loglevel > 0.
void writelogf(const char *fmt, const Args &... args)
Write a formatted message to the screen.
void writelog(const string &fmt, const Args &... args)
Write a formatted message to the screen.
R poly6(D x, R *c)
Templated evaluation of a polynomial of order 6.
double polyfit(size_t n, size_t deg, const double *xp, const double *yp, const double *wp, double *pp)
Fits a polynomial function to a set of data points.
void warn_user(const string &method, const string &msg, const Args &... args)
Print a user warning raised from method as CanteraWarning.
Namespace for the Cantera kernel.
Contains declarations for string manipulation functions within Cantera.
Various templated functions that carry out common vector and polynomial operations (see Templated Arr...