Xuu__text__TEXT T__data__DATA {__cstring__TEXT 3 |__literal8__TEXT`__const__DATA@__picsymbolstub2__TEXTP,4$__la_sym_ptr2__DATAiEd$__textcoal_nt__TEXTmI @t$$p Pl$USd}t1EUf.ztE,EEEEE}8 D$ $ $$ED$D$<$}t>EUf.ztEݝxݝxݝx݅x]}t>EUf.ztEݝpݝpݝp݅p]ED$D$q$ED$$ED$D$$ED$Q$w}t>EUf.ztEݝhݝhݝh݅h]Mf.wMf.w2Mf.w Eݝ`ݝ`ݝ`݅`]ED$D$$}t@E U f.ztE ,\Dž\ Dž\ \EEXX} DžXXEED$D$$}t@E(U(f.ztE(,TDžT DžTTE}x}EED$D$$`}u1$LA}u$6+}uQ$ E^$ }t>E0U0f.ztE0ݝHݝHݝH݅H]MЍf.s#ED$D$q$v\MЍ1f(fW,EEDD} DžDDEED$D$$}t@E8U8f.ztE8,@Dž@ Dž@@EE<<y Dž<E`U`f.ztE`ݝ0ݝ0ݝ0݅0]Mf.wMf.w2Mf.w Eݝ(ݝ(ݝ(݅(]ED$D$ 1$}t>EhUhf.ztEhݝ ݝ ݝ ݅ ]ED$D$ q$Mf.w$5Mf.w$$}t>EpUpf.ztEpݝݝݝ݅]ED$D$$8Mf.w$ED$1$$}t>ExUxf.ztExݝݝݝ݅]M؍f.wM؍f.w2M؍f.w Eݝݝݝ݅]ED$D$$}t@E耋Uf.ztE,Dž DžE}t }tEED$D$,$p}u@$\*}uQ$F}u$0$"}tEEUˆf.ztEݝ ݝ ݝ݅]Mȍf.wݝ Eݝ݅]Mȍf.s#ED$D$$O\Mȍ1f(fW,EE} DžEED$D$$ }tEEUf.ztEݝݝݝ݅]ED$D$I$n }tEEU˜f.ztEݝݝݝ݅]ED$D$q$ Mf.uz$ $ $ D$$ $ D$ 1$l D$ $V D$ $@ D$1$( D$,D$$!D$!D$!D$ !D$q$ d[]UMFPACK V4.4 (Jan. 28, 2005) %s, Control: Matrix entry defined as: double complex Int (generic integer) defined as: int %d: print level: %d %d: dense row parameter: %g "dense" rows have > max (16, (%g)*16*sqrt(n_col) entries) %d: dense column parameter: %g "dense" columns have > max (16, (%g)*16*sqrt(n_row) entries) %d: pivot tolerance: %g %d: block size for dense matrix kernels: %d %d: strategy: %d (symmetric) Q = AMD (A+A'), Q not refined during numerical factorization, and diagonal pivoting (P=Q') attempted. (unsymmetric) Q = COLAMD (A), Q refined during numerical factorization, and no attempt at diagonal pivoting. (symmetric, with 2-by-2 block pivoting) P2 = row permutation that tries to place large entries on the diagonal. Q = AMD (P2*A+(P2*A)'), Q not refined during numerical factorization, attempt to select pivots from the diagonal of P2*A. (auto) %d: initial allocation ratio: %g %d: initial allocation (in Units): %d %d: max iterative refinement steps: %d %d: 2-by-2 pivot tolerance: %g %d: Q fixed during numerical factorization: %g (yes) (no) (auto) %d: AMD dense row/col parameter: %g no "dense" rows/columns "dense" rows/columns have > max (16, (%g)*sqrt(n)) entries Only used if the AMD ordering is used. %d: diagonal pivot tolerance: %g Only used if diagonal pivoting is attempted. %d: scaling: %d (no) (divide each row by sum of abs. values in each row) (divide each row by max. abs. value in each row) %d: frontal matrix allocation ratio: %g %d: initial frontal matrix size (# of Entry's): %d %d: drop tolerance: %g %d: AMD and COLAMD aggressive absorption: %g (yes) (no) The following options can only be changed at compile-time: %d: BLAS library used: Fortran BLAS. %d: compiled for ANSI C (uses malloc, free, realloc, and printf) %d: CPU timer is POSIX times ( ) routine. %d: compiled for normal operation (debugging disabled) unknown computer/operating system: %s size of int: %g long: %g Int: %g pointer: %g double: %g Entry: %g (in bytes) ???ffffff?{Gz?$@MbP??0@ @@⍀P]$Ë$  z 0j 0Z 0J 0: (* $  @       @          l a Y /    X  [ S  @     { k * "     `  O  ;S K !  bZTL@91  naYG<4 @~aL5 4,@}C;m,$`@aYgR;` zP@K x rj `    iUiU 4mqeL_umfpack_zi_report_control___i686.get_pc_thunk.bx___i686.get_pc_thunk.axdyld_stub_binding_helper_printf