=================================================================== RCS file: /home/cvs/OpenXM/src/asir-contrib/testing/noro/wishartd.rr,v retrieving revision 1.3 retrieving revision 1.4 diff -u -p -r1.3 -r1.4 --- OpenXM/src/asir-contrib/testing/noro/wishartd.rr 2016/04/26 00:55:02 1.3 +++ OpenXM/src/asir-contrib/testing/noro/wishartd.rr 2016/08/01 01:35:00 1.4 @@ -1,4 +1,4 @@ -/* $OpenXM$ */ +/* $OpenXM: OpenXM/src/asir-contrib/testing/noro/wishartd.rr,v 1.3 2016/04/26 00:55:02 noro Exp $ */ /* A package for computing PDEs satisfied by a matrix 1F1 on diagonal regions */ if (version()<20160401) {error("The version of Risa/Asir must be after 20160401 to run this package.");} else{} module n_wishartd$ @@ -40,6 +40,7 @@ localf mapleout$ localf gbcheck$ localf partition,all_partition,partition_to_pattern$ localf degpf,pftodpf,all_diag,y1y2$ +localf help$ /* * pfpoly = [[C,<<...>>],...] @@ -2550,9 +2551,23 @@ def y1y2(M) } } +def help() +{ + print("n_wishartd.diagpf(M,[[S1,E1],[S2,E2],...]) : computation of a system of PDEs satisfied by a diagonalized 1F1"); + print(" Arguments : M is the number of variables, [Si,Ei]'s are diagonal blocks s.t. S(i+1)=Ei+1."); + print(" An example : n_wishartd.diagpf(10,[[1,9],[10,10]]) returns a system of PDEs satisfied by 1F1(y1,...,y1,y10)."); + print(""); + print("n_wishartd.prob_by_hgm(M,N,[P1,P2,...],[S1,S2,...],T|options) : computation of the probability Pr[l1 set the number of initial steps=k (default : 10^4)"); + print(" t0=val => start HGM from t=val (default : max(t0/(2Si),i=1,...)=1)"); + print(" eps=e => set the relative error bound=e (default : 10^(-4))"); + print(""); + print("n_wishartd.message(onoff) : if onoff=1 then various diagnostic messages are shown."); +} +print("n_wishartd.rr : a package for diagonalization of the matrix 1F1.")$ +print("n_wishartd.help() shows brief description of some important functions.")$ endmodule$ end$ -"usage : n_wishartd.diagpf(M,[[S1,E1],[S2,E2],...]),\n where M is the number of variables and [Si,Ei] is a diagonal block and S(i+1)=Ei + 1. For example, n_wishartd.diagpf(10,[[1,9],[10,10]) returns a system of PDEs satisfied by 1F1(y1,...,y1,y10)." - -"usage : n_wishartd.prob_by_hgm(M,N,[P1,P2,...],[S1,S2,...]|options) where M is the number of variables, N is the degrees of freedom, Pi is the size of i-th block and Si is the value of i-th (repeated) eigenvalue of Sigma. options : rk=4|5 => use 4|5-th order Runge-Kutta method (default : rk=5) step=k => set the number of steps=k (default : 10^4) init=x => set the maximal coordinate of the initial point=x (default : 1), eps=e => set the approximate relative error bound=e (default : 10^(-4)). For example, n_wishartd.prob_by_hgm(3,10,[2,1],[1/10,1],10|rk=5) computes Pr[l1<10|diag(1/10,1/10,1)] by RK5."