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/dports/textproc/groff/groff-1.22.4/src/preproc/eqn/
H A Deqn.am42 src/preproc/eqn/eqn.ypp \
43 src/preproc/eqn/box.h \
44 src/preproc/eqn/pbox.h \
45 src/preproc/eqn/eqn.h
47 PREFIXMAN1 += src/preproc/eqn/eqn.1 src/preproc/eqn/neqn.1
49 src/preproc/eqn/TODO \
51 src/preproc/eqn/eqn.1.man \
54 src/preproc/eqn/eqn-lex.$(OBJEXT): src/preproc/eqn/eqn.hpp
56 src/preproc/eqn/eqn.hpp \
57 src/preproc/eqn/eqn.cpp \
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/dports/print/rtf2latex2e/rtf2latex2e-2-2-2/src/
H A Deqn.c1475 eqn->indent[strlen(eqn->indent) - 2] = 0; in Eqn_TranslateRULER()
1516 eqn->indent[strlen(eqn->indent) - 2] = 0; in Eqn_TranslateLINE()
1710 eqn->indent[strlen(eqn->indent) - 2] = 0; in Eqn_TranslateCHAR()
1939 eqn->indent[strlen(eqn->indent) - 2] = 0; in Eqn_TranslateMATRIX()
2075 eqn->indent[strlen(eqn->indent) - 2] = 0; in Eqn_TranslateEQNARRAY()
2160 eqn->indent[strlen(eqn->indent) - 2] = 0; in Eqn_TranslateTABULAR()
2269 eqn->indent[strlen(eqn->indent) - 2] = 0; in Eqn_TranslatePILEtoTARGET()
2300 eqn->indent[strlen(eqn->indent) - 2] = 0; in Eqn_TranslateSIZE()
2324 eqn->indent[strlen(eqn->indent) - 2] = 0; in Eqn_TranslateFONT()
2474 eqn->indent[strlen(eqn->indent) - 2] = 0; in Eqn_TranslateTMPL()
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/dports/math/eprover/eprover-E-2.0/CLAUSES/
H A Dccl_eqn.h139 #define EqnGCMarkTerms(eqn) TBGCMarkTerm((eqn)->bank,(eqn)->lterm);\ argument
140 TBGCMarkTerm((eqn)->bank,(eqn)->rterm)
142 #define EqnSetProp(eqn, prop) SetProp((eqn), (prop)) argument
143 #define EqnDelProp(eqn, prop) DelProp((eqn), (prop)) argument
144 #define EqnFlipProp(eqn, prop) FlipProp((eqn), (prop)) argument
147 #define EqnQueryProp(eqn, prop) QueryProp((eqn), (prop)) argument
150 #define EqnIsAnyPropSet(eqn, prop) IsAnyPropSet((eqn), (prop)) argument
205 EqnTermsTBTermEncode((eqn)->bank, (eqn)->lterm,\
206 (eqn)->rterm, EqnIsPositive(eqn), (dir))
286 SigGetSpecialWeight(eqn->bank->sig, eqn->lterm->f_code):\
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/dports/science/R-cran-bayesm/bayesm/man/
H A DrbayesBLP.Rd78 \eqn{\theta_i} \eqn{\sim}{~} \eqn{N(\theta_bar, \Sigma)}\cr
79 \eqn{\eta_jt} \eqn{\sim}{~} \eqn{N(0, \tau_sq)}\cr
85 \eqn{r} \eqn{\sim}{~} \eqn{N(0, diag(sigmasqR))}\cr
86 \eqn{\theta_bar} \eqn{\sim}{~} \eqn{N(\theta_hat, A^-1)}\cr
87 \eqn{\tau_sq} \eqn{\sim}{~} \eqn{nu0*s0_sq / \chi^2 (nu0)}\cr
97 \eqn{\theta_i} \eqn{\sim}{~} \eqn{N(\theta_bar, \Sigma)}\cr
103 \eqn{r} \eqn{\sim}{~} \eqn{N(0, diag(sigmasqR))}\cr
104 \eqn{\theta_bar} \eqn{\sim}{~} \eqn{N(\theta_hat, A^-1)}\cr
105 \eqn{\delta} \eqn{\sim}{~} \eqn{N(deltabar, Ad^-1)}\cr
106 \eqn{\Omega} \eqn{\sim}{~} \eqn{IW(nu0, VOmega)}\cr
[all …]
H A DrhierLinearModel.Rd25 \code{nreg} regression equations with \eqn{nvar} \eqn{X} variables in each equation \cr
26 \eqn{y_i = X_i\beta_i + e_i} with \eqn{e_i} \eqn{\sim}{~} \eqn{N(0, \tau_i)}
28 …\eqn{\tau_i} \eqn{\sim}{~} nu.e*\eqn{ssq_i/\chi^2_{nu.e}} where \eqn{\tau_i} is the variance of \e…
29 \eqn{\beta_i} \eqn{\sim}{~} N(Z\eqn{\Delta}[i,], \eqn{V_{\beta}}) \cr
30 …Note: Z\eqn{\Delta} is the matrix \eqn{Z * \Delta} and [i,] refers to \eqn{i}th row of this produ…
32 …\eqn{vec(\Delta)} given \eqn{V_{\beta}} \eqn{\sim}{~} \eqn{N(vec(Deltabar), V_{\beta}(x) A^{-1})}\…
33 \eqn{V_{\beta}} \eqn{\sim}{~} \eqn{IW(nu,V)} \cr
34 …\eqn{Delta, Deltabar} are \eqn{nz x nvar}; \eqn{A} is \eqn{nz x nz}; \eqn{V_{\beta}} is \eqn{nvar …
36 Note: if you don't have any \eqn{Z} variables, omit \eqn{Z} in the \code{Data} argument and
37 a vector of ones will be inserted; the matrix \eqn{\Delta} will be \eqn{1 x nvar} and should
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H A DrivDP.Rd29 …\eqn{e1,e2} \eqn{\sim}{~} \eqn{N(\theta_{i})} where \eqn{\theta_{i}} represents \eqn{\mu_{i}, \Sig…
32 DO NOT include intercepts in the \eqn{z} or \eqn{w} matrices.
35 \eqn{\delta} \eqn{\sim}{~} \eqn{N(md, Ad^{-1})} \cr
36 \eqn{vec(\beta, \gamma)} \eqn{\sim}{~} \eqn{N(mbg, Abg^{-1})} \cr
37 \eqn{\theta_{i}} \eqn{\sim}{~} \eqn{G} \cr
38 \eqn{G} \eqn{\sim}{~} \eqn{DP(alpha, G_0)}
40 \eqn{alpha} \eqn{\sim}{~} \eqn{(1-(alpha-alpha_{min})/(alpha_{max}-alpha{min}))^{power}} \cr
45 …\eqn{\Sigma} \eqn{\sim}{~} \eqn{IW(nu, vI)} and \eqn{\mu|\Sigma} \eqn{\sim}{~} \eqn{N(0, \Sigma(x…
50 \eqn{a} \eqn{\sim}{~} uniform[alim[1], alimb[2]]\cr
51 \eqn{nu} \eqn{\sim}{~} dim(data)-1 + exp(z) \cr
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H A DrscaleUsage.Rd25 \eqn{n} = \code{nrow(x)} individuals respond to \eqn{p} = \code{ncol(x)} questions;
26 all questions are on a scale \eqn{1, \ldots, k} for respondent \eqn{i} and question \eqn{j}, \cr
28 …\eqn{x_{ij} = d} if \eqn{c_{d-1} \le y_{ij} \le c_d} where \eqn{d = 1, \ldots, k} and \eqn{c_d = a…
30 \eqn{y_i = mu + tau_i*iota + sigma_i*z_i} with \eqn{z_i} \eqn{\sim}{~} \eqn{N(0, Sigma)}
32 \eqn{(tau_i, ln(sigma_i))} \eqn{\sim}{~} \eqn{N(\phi, Lamda)}\cr
33 \eqn{\phi = (0, lambda_{22})} \cr
34 \eqn{mu} \eqn{\sim}{~} \eqn{N(mubar, Am^{-1})}\cr
35 \eqn{Sigma} \eqn{\sim}{~} \eqn{IW(nu, V)} \cr
36 \eqn{Lambda} \eqn{\sim}{~} \eqn{IW(Lambdanu, LambdaV)} \cr
37 \eqn{e} \eqn{\sim}{~} unif on a grid
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H A Dllmnp.Rd24 …\eqn{X} is \eqn{(p-1)*n x k} matrix. Use \code{\link{createX}} with \code{DIFF=TRUE} to create \e…
26 Model for each obs: \eqn{w = Xbeta + e} with \eqn{e} \eqn{\sim}{~} \eqn{N(0,Sigma)}.
29 if \eqn{y=j (j<p), w_j > max(w_{-j})} and \eqn{w_j >0} \cr
30 if \eqn{y=p, w < 0} \cr
33 e.g. if \eqn{y=1, w_1 > 0} and \eqn{w_1 - w_{-1} > 0}.
35 …eqn{A_j} such that if \eqn{j=1,\ldots,p-1} then \eqn{A_jw = A_jmu + A_je > 0} is equivalent to \eq…
/dports/textproc/heirloom-doctools/heirloom-doctools-160308/test/eqn/
H A Dmakefile4 mv eqn.more eqn.more.orig
5 make eqn.more
6 diff eqn.more eqn.more.orig
7 rm eqn.more
8 mv eqn.more.orig eqn.more
9 mv eqn.ps eqn.ps.orig
10 make eqn.ps
11 sed '/CreationDate/d' eqn.ps > eqn.ps.sed
12 diff eqn.ps.sed eqn.ps.orig
13 rm eqn.ps eqn.ps.sed
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/dports/math/R-cran-sets/sets/man/
H A Dfuzzy.Rd36 for a t-norm \eqn{T}, let \eqn{S(x, y) = 1 - T(1 - x, 1 - y)} be the
47 \eqn{T(x, y) = y} if \eqn{x = 1}, \eqn{x} if \eqn{y = 1}, and 0
49 \eqn{x = 0}, \eqn{x} if \eqn{y = 0}, and 1 otherwise. Note that
60 \eqn{S(x, y) = \max(x, y)} if \eqn{x + y < 1}, and 1 otherwise.}
72 where \eqn{\alpha \ge 0} and \eqn{\beta, \gamma \ge -1}. This
89 \eqn{p = -\infty}{p = -Inf}, \eqn{0}, and \eqn{\infty}{Inf},
92 \item{\code{"Yager"}}{the Yager family \eqn{T_p}, \eqn{p \ge 0},
96 \item{\code{"Dombi"}}{the Dombi family \eqn{T_p}, \eqn{p \ge 0},
99 \eqn{T_p(x, y) = 0} if \eqn{x = 0} or \eqn{y = 0}, and
101 both \eqn{x > 0} and \eqn{y > 0}.}
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/dports/math/jacop/jacop-4.8.0/src/main/java/org/jacop/constraints/netflow/
H A DArithmetic.java98 int[] eqn = new int[max]; in addEquation() local
101 eqn[id] = coeffs[i]; in addEquation()
103 eqn[0] = constant; in addEquation()
104 eqns.add(eqn); in addEquation()
184 for (int[] eqn : eqns) { in optimize()
191 flip(eqn); in optimize()
215 eqn[i] = -eqn[i]; in flip()
229 eqns[i] = Arrays.copyOf(eqn, eqn.length); in ArithmeticBuilder()
255 if (eqn[var] > 0 && eqn[var] <= -eqn2[var]) { in ArithmeticBuilder()
259 if (eqn[var] < 0 && -eqn[var] <= eqn2[var]) { in ArithmeticBuilder()
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/dports/math/maxima/maxima-5.43.2/share/contrib/diffequations/tests/
H A Drtestode_murphy_2_2.mac61 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2]),ode_check(eqn,ans[3])];
104 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2]),ode_check(eqn,ans[3])];
110 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2]),ode_check(eqn,ans[3])];
116 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2]),ode_check(eqn,ans[3])];
128 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2]),ode_check(eqn,ans[3])];
218 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2]),ode_check(eqn,ans[3])];
224 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2]),ode_check(eqn,ans[3])];
239 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2]),ode_check(eqn,ans[3])];
430 [method,ode_check(eqn,ans[1]),ode_check(eqn,%[1]),ode_check(eqn,%[2])];
485 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2]),ode_check(eqn,ans[3]),ode_check(eqn,ans[4])];
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H A Drtestode_kamke_1_3.mac25 [method,ode_check(eqn,ans[1])];
57 [method,ode_check(eqn,ans[1])];
63 [method,ode_check(eqn,ans[1])];
69 [method,ode_check(eqn,ans[1])];
75 [method,ode_check(eqn,ans[1])];
91 [method,ode_check(eqn,ans[1])];
96 [method,ode_check(eqn,ans[1])];
104 [method,ode_check(eqn,ans[1])];
112 [method,ode_check(eqn,ans[1])];
377 [method,ode_check(eqn,%)];
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H A Drtestode_murphy_1_1.mac22 [method,ode_check(eqn,ans[1])];
28 [method,ode_check(eqn,ans[1])];
36 [method,ode_check(eqn,ans)];
42 [method,ode_check(eqn,ans[1])];
48 [method,ode_check(eqn,ans[1])];
54 [method,ode_check(eqn,ans[1])];
105 [method,ode_check(eqn,ans)];
143 [method,ode_check(eqn,ans)];
287 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
313 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
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H A Drtestode_murphy_2_1.mac97 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
113 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
154 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
160 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
197 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
203 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
233 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
239 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
245 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
251 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
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H A Drtestode_kamke_2_1.mac18 ode_check(eqn,ans[1]);
26 ode_check(eqn,ans[1]);
34 ode_check(eqn,ans[1]);
42 ode_check(eqn,ans[1]);
56 ode_check(eqn,ans[1]);
64 ode_check(eqn,ans[1]);
85 ode_check(eqn,ans[1]);
200 ode_check(eqn,ans[1]);
208 ode_check(eqn,ans[1]);
218 ode_check(eqn,ans[1]);
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H A Drtestode_kamke_1_6.mac40 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
58 [method,ode_check(eqn,ans[1])];
100 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2]),ode_check(eqn,ans[3])];
116 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2]),ode_check(eqn,ans[3])];
122 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2]),ode_check(eqn,ans[3])];
142 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2]),ode_check(eqn,ans[3])];
165 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
171 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2]),ode_check(eqn,ans[3])];
183 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2]),ode_check(eqn,ans[3]),ode_check(eqn,ans[4])];
217 [method,ode_check(eqn,%)];
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H A Drtestode_kamke_1_4.mac49 [method,ode_check(eqn,ans[1])];
55 [method,ode_check(eqn,ans[1])];
404 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
444 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
450 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
456 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
488 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
513 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[1])];
523 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
547 [method,ode_check(eqn,ans[1]),ode_check(eqn,ans[2])];
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H A Drtestode_kamke_2_2.mac76 ode_check(eqn,ans[1]);
198 ode_check(eqn,ans[1]);
243 ode_check(eqn,ans[1]);
284 ode_check(eqn,ans[1]);
392 ode_check(eqn,ans[1]);
404 ode_check(eqn,ans[1]);
416 ode_check(eqn,ans[1]);
494 ode_check(eqn,ans[1]);
504 ode_check(eqn,ans[1]);
552 ode_check(eqn,ans[1]);
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H A Drtestode_kamke_2_3.mac180 ode_check(eqn,ans[1]);
190 ode_check(eqn,ans[1]);
200 ode_check(eqn,ans[1]);
254 ode_check(eqn,ans[1]);
262 ode_check(eqn,ans[1]);
288 ode_check(eqn,ans[1]);
296 ode_check(eqn,ans[1]);
308 ode_check(eqn,ans[1]);
316 ode_check(eqn,ans[1]);
403 ode_check(eqn,ans[1]);
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/dports/science/R-cran-eco/eco/man/
H A DecoBD.Rd50 \eqn{n_{i11}} \tab \eqn{n_{i12}} \tab \dots \tab \eqn{n_{i1C}} \tab \eqn{n_{i1.}} \cr
51 \eqn{n_{i21}} \tab \eqn{n_{i22}} \tab \dots \tab \eqn{n_{i2C}} \tab \eqn{n_{i2.}} \cr
53 \eqn{n_{iR1}} \tab \eqn{n_{iR2}} \tab \dots \tab \eqn{n_{iRC}} \tab \eqn{n_{iR.}} \cr
54 \eqn{n_{i.1}} \tab \eqn{n_{i.2}} \tab \dots \tab \eqn{n_{i.C}} \tab \eqn{N_i}
56 where \eqn{n_{nr.}} and \eqn{n_{i.c}} represent the observed margins,
57 \eqn{N_i} represents the size of the table, and \eqn{n_{irc}} are
68 \eqn{W_{i11}} \tab \eqn{W_{i12}} \tab \dots \tab \eqn{W_{i1C}} \tab \eqn{Y_{i1}} \cr
69 \eqn{W_{i21}} \tab \eqn{W_{i22}} \tab \dots \tab \eqn{W_{i2C}} \tab \eqn{Y_{i2}} \cr
71 \eqn{W_{iR1}} \tab \eqn{W_{iR2}} \tab \dots \tab \eqn{W_{iRC}} \tab \eqn{Y_{iR}} \cr
72 \eqn{X_{i1}} \tab \eqn{X_{i2}} \tab \dots \tab \eqn{X_{iC}} \tab
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/dports/math/py-jax/jax-0.2.9/jax/
H A Djaxpr_util.py30 yield (jaxpr, eqn)
37 d[key(eqn)].append(eqn)
46 return histogram(jaxpr, lambda eqn: eqn.primitive.name)
49 def key(eqn): argument
57 def key(eqn): argument
58 return (eqn.primitive.name, ' '.join(map(shape_fmt, eqn.outvars)))
62 def key(eqn): argument
83 defs[v] = eqn
93 read(a, eqn)
95 write(v, eqn)
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/dports/math/R-cran-VGAM/VGAM/man/
H A Dfreund61.Rd20 parameters \eqn{\alpha}{alpha}, \eqn{\alpha'}{alpha'},
21 \eqn{\beta}{beta} and \eqn{\beta'}{beta'}, respectively
57 Suppose \eqn{y_1}{y1} and \eqn{y_2}{y2} are random variables
60 The dependence between \eqn{y_1}{y1} and \eqn{y_2}{y2}
63 of the \eqn{A} component from \eqn{\alpha}{alpha} to
66 of the \eqn{B} component from \eqn{\beta}{beta} to
82 \eqn{y_1}{y1} and \eqn{y_2}{y2}.
108 \eqn{y_1}{y1} and \eqn{y_2}{y2} are independent, and
110 \eqn{1 / \alpha}{1/alpha} and \eqn{1 / \beta}{1/beta}
144 \eqn{y_1}{y1} and \eqn{y_2}{y2}.
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/dports/cad/xcircuit/xcircuit-3.10.30/spiceparser/
H A Deqn.c692 if(0)fprintf(dbg," %s=[%p %p]",str,eqn,eqn->eqn); in debug_eqn()
694 if(eqn->eqn!=NULL) in debug_eqn()
747 eqn.eqn->op=OPeol_const; in eqn_const()
748 eqn.eqn->z.val.x=val; in eqn_const()
806 e.eqn=eqntok_copy(e.eqn); in eqn_copy_m()
820 eqn.eqn=eqntok_parse(val); in eqn_parse()
842 assert(eqn->eqn!=NULL); in eqn_getval_()
846 eqntok_eval(&f,eqn->eqn); in eqn_getval_()
868 if(eqn->eqn==NULL) in eqn_setval()
872 eqn->eqn->z.val.x=val; in eqn_setval()
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/dports/math/R-cran-geometry/geometry/man/
H A Dcart2bary.Rd11 \eqn{N+1}-by-\eqn{N} matrix}
13 \item{P}{\eqn{M}-by-\eqn{N} matrix in which each row is the Cartesian
17 \eqn{M}-by-\eqn{N+1} matrix in which each row is the
29 \eqn{N+1}-by-\eqn{N} matrix an arbitrary point \eqn{P} in
33 where \eqn{\beta} is an \eqn{N+1} vector of the barycentric coordinates.
36 Now partition the simplex into its first \eqn{N} rows \eqn{X_N} and
37 its \eqn{N+1}th row \eqn{X_{N+1}}. Partition the barycentric
38 coordinates into the first \eqn{N} columns \eqn{\beta_N} and the
39 \eqn{N+1}th column \eqn{\beta_{N+1}}. This allows us to write
43 where \eqn{1_N} is an \eqn{N}-by-1 matrix of ones. We can then solve
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