( __text__TEXT H__data__DATA__bss__DATA(__cstring__TEXT __literal4__TEXT __picsymbolstub2__TEXT(.r__la_sym_ptr2__DATAL1__nl_symbol_ptr__DATA8&__textcoal_nt__TEXT @ @295 P #P2(UWVSE`E̋U$UMXMԋuLu؋EHE܋U< M)E8uD6uȃuĉ)E@ETU)EPM\MЋu>>_$ @D$$ݛD$$ݛUMЉǃKǃ+ǃ;ǃǃǃGud>tǃO ǃO;>D$4EdD$0ẼD$,EЃD$(WD$$ED$ UcZf.W>uzEdrǃ;U/G9D$<MdL$8ẼD$4EЃD$0uDt$,UċM@щD$(ucEd8~ U+M4udq+~AD$1D$ D$ +D$D$ $>~jD$7OD$ D$ ED$|$ 4$}D$+D$FD$ UT$|$4$QMǃD$<udt$8ẼD$4EЃD$0EDD$,UċM@щD$(u~AD$4D$ D$ WD$D$ $'D$EԃD$E؃D$E܃D$MDL$ uċU@D$D$W$'tMdt$EUԍDD$ t$M܃ML$E$5t$UԍDD$ t$M؃ML$E$UMD$EԃD$ED$UT$L$ ML$ED$U0$t$MMԍTT$ t$u؍D0D$E$}KD$U T$ MuԍT0T$U܍DD$M $>ouoMBKBD$D$ D$ T$D$ 4$#D$D$~|$ ED$UT$4$D$5OD$|$ ML$ED$4$UEǃC~?Z‹CMf.uz u.ECC9~ˋK;}+U4; M9D$ D$D$u4$\D$ D$D$4$BD$E؃D$E܃D$ D$D$4$7)‰?U:XM;~E䋃+7‹u+D$9щMU܍‰D$ D$?DD$E$I7;~E䋃+7‹u+D$9щMU؍‰D$ D$?DD$E$D$ D$D$M $>u(D$ D$D$$D$ D$D$u4$>u(D$ D$D$$jD$ D$D$E$^>u(D$ D$D$$D$ D$D$U$ >u(D$ D$D$$D$E؃D$E܃D$ D$D$$oEǃCZ/CUEEUf(EU]fTfUfVf(fTfUfVCU^/‹CC9nD$ D$D$4$ D$E܃D$E؃D$ D$D$4$R EǃCZ/CUEEUf(EU]fTfUfVf(fTfUfVCUY/‹CC9nD$ D$D$M $ uZD$ D$D$4$] D$E؃D$E܃D$ KD$D$3D$E؃D$E܃D$ KD$D$u4$ WEȋU@D>~pD$D$ D$ E܃D$|$ 4$' D$D$FD$ E؃D$|$4$ +M4;~Ku;} EdU:K; MdKu;E08>{UUЉE9O>>u4~M9>u~u+U{;>}@D$EԃD$E؃D$E܃D$T$ t$ML$u04$ D$4D$ D$ KD$D$ <$ >oMouBD$$D$wt$ T$D$<$F D$;D$t$ UM܍DD$ED$<$ D$.oD$t$ UM؍DD$ut$<$ E08>uǃUHǃM09>u-D$U܃T$ D$EԃD$u4$0 >D$&D$ D$ ED$D$ 4$/ D$D$~|$ EԃD$UT$4$M09>u/D$$D$|$ E؃D$ED$4$ẼD$,UTT$(MuPΉD$$ut$ EDD$UċM@щD$EuW@T$MM̍DD$ T$t$u4$UЉBBMgu >I>u-D$ŨT$ D$ED$E$YU :G>k$k\gX@l@lM 9G>T$ẼD$ T$ED$u4$ݓW]MEUZEUUfTfUfVQf.z>t $]EW.E 8I>u%D$ED$U$[ݛWǃGmD$0/D$ D$ WD$D$ 4$)D$,oD$~|$ EM@DD$ED$4$UED$*D$|$ MȋU@DD$ED$4$KM+u4KUMcc$ c\_@Ĝ[^_]UUUUUU?Epsilon-Machine_saup2: **** Start of major iteration number ****_saup2: The length of the current Lanczos factorization_saup2: Extend the Lanczos factorization by_saup2: Current B-norm of residual for factorization_saup2: NEV, NP, NCONV are_saup2: The eigenvalues of H_saup2: Ritz estimates of the current NCV Ritz valuesBESALMSMLA_saup2: Sorted Ritz values._saup2: Sorted ritz estimates._saup2: no. of "converged" Ritz values at this iter._saup2: NEV and NP are_saup2: "wanted" Ritz values._saup2: Ritz estimates of the "wanted" values _saup2: The number of shifts to apply _saup2: shifts selected_saup2: corresponding Ritz estimates_saup2: B-norm of residual for NEV factorization_saup2: main diagonal of compressed H matrix_saup2: subdiagonal of compressed H matrix ⍀P⍀P⍀P⍀P⍀Pm⍀mPzuX⍀XPa\C⍀CPHC.⍀.P/*⍀P⍀P⍀P⍀P⍀P⍀P⍀P{⍀Pgbq⍀qPNI\⍀\P5/Haz)B[t$Ë$ùptt\|<q\fA(h@XhxghW$hx||f7xXlK4|dU. L5y\lbMGu\[U\3\&<         h  y \Q G \%      T T @ T 0H T@ @: & T        T T @ Tp 0+ T# @  T          j b X = .           o \ PR 7 $ H  H PHPH~xlb@8.<\TTT}TtiK`=0\o\i8w`8ZRhH 8h<Dh`rldZP<C9 (!<<(hMX@3 Lh`hgL]`K`9X/%L<\000p ! 8  8  8    8 l~lx s8 mSeS_ Z8 T:L:F A8 ;!3!- (8 " 8  8  8  8  8  8 rr~ y8 sYkYe `8 Z@R@L G8 A'9'3 .8 (  8  HD@<840,($  (6$*/.43+-#,01)&2'5(6$*/.43+-#,01)&2'57% (!'0088<@@HHQLZPcThXq\z`hptx|3   $r"`dyl*K_dsaup2____i686.get_pc_thunk.bx_debug__timing____i686.get_pc_thunk.axdyld_stub_binding_helper_dnrm2__sqrt_ddot__dsapps__dswap__dsortr__s_copy_s_cmp_dsconv__dsgets__dcopy__dseigt__dvout__ivout__dsaitr__dgetv0__pow_dd_dlamch__second__c_b3_c__1_c__0_c__3_c_true_c__2_eps23.0_ierr.1_iter.2_temp.3_nevd2.4_getv0.5_nevm2.6_j.7_cnorm.8_nconv.9_initv.10_rnorm.11_t0.12_t1.13_t2.14_t3.15_kp.16_nevbef.17_update.18_wprime.19_ushift.20_kplusp.21_msglvl.22_np0.23_nptemp.24_nev0.25