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bos / libobasis24.8-core deb

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Version: 
24.8.1.2-2  ▾
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libobasis24.8-core / opt / libreoffice24.8 / program / libClpSolver.so.1
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H‹sHƒÆè1?ûÿH‰ïè	HûÿH‰ÅëÛH‰Åë”f.„DAWAVAUATUSHƒì(H‹G(H‹W0H‹O L‹HH‰|$L`L‹o8H‹oH‰$H‰L$H‰D$M9üs@fDM‹4$IžøDI‹>H…ÿ„üI‹vIƒÆH)þèœ>ûÿL9óußIƒÄM9ürÆL9|$„òH‹D$H9ÅtZH‹}H…ÿt H‹uHƒÅH)þè`>ûÿH9l$t:H‹}H…ÿuàHƒÅH9l$uÌL9,$t&€I‹}H…ÿtI‹uH)þè#>ûÿIƒÅL9,$uáH‹D$H‹8H…ÿ„ËH‹PHH‹X(HjH‰$H9ës!H‹;¾øHƒÃèß=ûÿH9ërêH‹D$H‹8H‹D$H‹pHƒÄ([]HÁæA\A]A^A_é²=ûÿfIƒÆL9ó…ëþÿÿIƒÄM9ü‚ÎþÿÿéÿÿÿH‹$H9Å„kÿÿÿH‹}H…ÿt#H‹uHƒÅH)þèk=ûÿH9,$„HÿÿÿH‹}H…ÿuÝHƒÅH9,$uÊH‹D$H‹8H…ÿ…5ÿÿÿHƒÄ([]A\A]A^A_Ãf.„@…ö„ˆˆƒH‰ú‰÷Áÿt9Oÿf(ÈH‰ÐHÁáfÉHL
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ô§ƒæHc±HÈÿà@òB0òB(òB òBòBòBòÃDÃAV¿AUATUSHƒĀè©7ûÿLt$@Ld$pÆD$pH‰ÅL‰÷1ÀL‰d$`H55H‰D$hè,ÀþÿLl$ H50§L‰ïèÀþÿH‰ãH5.§H‰ßèÀþÿAƒÉÿLD$`L‰ñL‰êH‰ÞH‰ïèŒ5ûÿH‹<$HD$H9ÇtH‹D$Hpèð;ûÿH‹|$ HD$0H9ÇtH‹D$0HpèÓ;ûÿH‹|$@HD$PH9ÇtH‹D$PHpè¶;ûÿH‹|$`L9çtH‹D$pHpèž;ûÿH‹/1H‹5ø0H‰ïèDûÿH‰ÃëVH‹<$HD$H9ÇtH‹D$Hpèg;ûÿH‹|$ HD$0H9ÇtH‹D$0HpèJ;ûÿH‹|$@HD$PH9ÇtH‹D$PHpè-;ûÿH‹|$`L9çtH‹D$pHpè;ûÿH‰ïè­8ûÿH‰ßèåCûÿH‰ÃézÿÿÿH‰Ãë‘H‰Ãë©H‰ù‰÷…ö„“H‰ÖH9Ñ„‡…ÿˆMA‰ùAÁùtcHA?H)ÐHƒø~†µEAÿH‰ÈIÁàND@DfPfHƒÀ@HƒÂ@fHàf@ðZÀRÐJàBðL9ÀuÐMcÉIÁáLÉLÎH襃çHcºHÐÿàÀòA0òF0òA(òF(òA òF òAòFòAòFòAòFòòÃE‰ÈH‰ÐIÁàIÐH‰ÊòHƒÀ@HƒÂ@ò@ÀòBÈò@ÈòBÐò@ÐòBØò@ØòBàò@àòBèò@èòBðò@ðòBøò@øI9Àu¤McÉIÁáLÉLÎéÿÿÿAV¿AUATUSHƒĀèœ4ûÿLt$@Ld$pÆD$pH‰ÅL‰÷1ÀL‰d$`H5(H‰D$hè½þÿLl$ H5¤L‰ïè½þÿH‰ãH5¤H‰ßèù¼þÿAƒÉÿLD$`L‰ñL‰êH‰ÞH‰ïè2ûÿH‹<$HD$H9ÇtH‹D$Hpèã8ûÿH‹|$ HD$0H9ÇtH‹D$0HpèÆ8ûÿH‹|$@HD$PH9ÇtH‹D$PHpè©8ûÿH‹|$`L9çtH‹D$pHpè‘8ûÿH‹".H‹5ë-H‰ïèû@ûÿH‰ÃëVH‹<$HD$H9ÇtH‹D$HpèZ8ûÿH‹|$ HD$0H9ÇtH‹D$0Hpè=8ûÿH‹|$@HD$PH9ÇtH‹D$PHpè 8ûÿH‹|$`L9çtH‹D$pHpè8ûÿH‰ïè 5ûÿH‰ßèØ@ûÿH‰ÃézÿÿÿH‰Ãë‘H‰Ãë©fDAWH‰øAVHƒÀAUATUSHƒì(L‹H‰|$H‰t$H‰D$M…ÿ„H‹L‹fA¾€H‰$ë@I‹G¾H…ÀtVI‰ÇM‹o(I‹_ M9ìL‰íIFìH…ítH‹<$H‰êH‰Þè2ûÿ…ÀuL‰àL)èL9ð}H¹ÿÿÿÿÿÿÿH9È~«…Àx§I‹G1öH…ÀuªM‰þ@„ö…èH…ítH‹4$H‰êH‰ßè´1ûÿ…ÀuL‰é1öL)áHùÿÿÿHù€|&‰È1ö…ÀxHƒÄ(L‰ø@¶Ö[]A\A]A^A_ÄA½L9t$…ß¿@è•6ûÿH‹T$Hx0I‰ÇH‰x H‹HjH9脍I‰G H‹BL‹bI‰G0H‹D$M‰g(L‰þL‰òH‹L$D‰ïH‰(HÇ@Æ@èÚ-ûÿH‹D$¾Hƒ@(éXÿÿÿfDH‹D$L9x„aÿÿÿL‰ÿL‰åM‰þèS6ûÿL‹h(H‹X I‰ÇM9åIFíéäþÿÿ@L‹bL‰âHƒÂ„rÿÿÿH‰îè4ûÿéeÿÿÿf.„M‹n(M9ìL‰êIFÔH…ÒtI‹v H‹<$è`0ûÿ…ÀuL‰àL)èE1íH=ÿÿÿèþÿÿH=€|5ÁèA‰ÅéÕþÿÿ@H‹L$H9AtI‰ÇH‹D$H‹L‹`H‰$é<ÿÿÿI‰ÆA½é þÿÿf.„DAWAVAUATUHoSHƒìL‹wH‰l$M…ö„»L‹&L‹~A½€ëDM‹vM…ötLI‹^(L‰úL9ûHFÓH…ÒtI‹~ L‰æè/ûÿ…ÀuL)ûL9ë}H¸ÿÿÿÿÿÿÿH9Ã~½‰؅Àx·L‰õM‹vM…öu´H9l$tKH‹](L‰úL9ûHFÓH…ÒtH‹u L‰çè=/ûÿ…ÀuM‰øI)ØIøÿÿÿ2Iø€|D‰ÀHHl$H‰l$H‹D$HƒÄ[]A\A]A^A_ÃDH‰l$ëàSH‰ûH‹?H…ÿt1H‹s H)þè84ûÿHÇÇCHÇCÇCHÇC [ÐATI‰üUSH‹?H…ÿtII‹D$HI‹\$(HhH9ës fDH‹;¾øHƒÃè×3ûÿH9ërêI‹<$I‹t$[]A\HÁæé¼3ûÿ@[]A\ÃAWI‰×HºÿÿÿÿÿÿÿAVAUATUSHƒìL‹gL‹/L‰àL)èHÁøH9Є.M9åºH‰ýI‰öHEÐ1ÉHÐH‰ò’ÁL)êH…É…¢H…À…á1Û1ÉA‹LDM)ôO< ‰H…Ò.M…äYM…íu;H‰ML‰}H‰]HƒÄ[]A\A]A^A_Ãf„H‰ÏL‰îL‰$è:ûÿH‰ÁM…äaH‹uL‰ïH‰$L)îèÖ2ûÿH‹$ë¬L‰âL‰öL‰ÇH‰$èÞ0ûÿH‹$M…ít‘ëÊH»üÿÿÿÿÿÿH‰ßH‰$èz2ûÿH‹$H‰ÁHÃéFÿÿÿH‹<$L‰âL‰öH‰D$è”0ûÿH‹L$ë„DH¹ÿÿÿÿÿÿÿH9ÈHGÁH…ë§H=í!èñ-ûÿAWAVAUATUSHƒì(L‹H‰|$H‰t$M…ÿ„ëH‹L‹v½€H‰T$ë„I‹G¾H…ÀtWI‰ÇM‹g(M‹o M9æL‰ãIFÞH…ÛtH‹|$H‰ÚL‰îèh,ûÿ…ÀuL‰ðL)àH9è}H¹ÿÿÿÿÿÿÿH9È~ª…Àx¦I‹G1öH…Àu©L‰ý@„öugH…Ût>H‹t$H‰ÚL‰ïè,ûÿ…Àt*1҅ÀLHúHIêHƒÄ(L‰ø[H‰ê]A\A]A^A_Ãf„L‰áL)ñHùÿÿÿiHù€|g‰Èëº@LH‹D$L9xt9L‰ÿL‰ýèF1ûÿH‹T$L‹`(L‹h I‰ÇL‹rH‹
M9ôL‰óH‰L$IFÜéXÿÿÿL‰ýE1ÿéoÿÿÿD1íécÿÿÿE1ÿé[ÿÿÿf„AWHGAVAUATI‰ÔUH‰ýSHƒìH9Æ„OL‹jL‹v(H‰óL‹:H‹N M9õL‰òIFÕH…Ò„ŠH‰ÎL‰ÿH‰T$H‰$è+ûÿH‹$H‹T$…ÀuL‰èL)ðH=ÿÿÿH=€|m…ÀxiL‰þH‰ÏèÔ*ûÿ…ÀuL‰ðL)èH=ÿÿÿH=€Œ6…Àˆ.H‰Ø1ÒHƒÄ[]A\A]A^A_Ãf.„L‰èL)ðH=ÿÿÿ²H=€|…Ày¦H‰ØH‰ÚH9]tÁH‰ßèò/ûÿL‰êL‹p(H‹x H‰ÁM9îIFÖH…ÒtL‰þH‰$è<*ûÿH‹$…ÀuM)îIþÿÿÿúIþ€|D‰ð…À‰æ1ÀHƒyHEÃHDÙH‰ÚéPÿÿÿf„Hƒ(„»H‹_ L‹rH‹2L‹k(L‰òH‹{ M9õIFÕH…Òt	è¾)ûÿ…ÀuM)õIýÿÿÿ€Iý€|D‰è…ÀypHƒÄH‰Ú1À[]A\A]A^A_ÃfDH9] tàH‰ßè2,ûÿL‰êH‹H(H‹p I‰ÆL9éHFÑH…ÒtL‰ÿH‰$èL)ûÿH‹$…ÀuL‰èH)ÈH=ÿÿÿH=€|…ÀxHƒÄL‰æH‰ï[]A\A]A^A_éñ8ûÿ1ÀHƒ{IEÞIEÆH‰ÚéPþÿÿf„AWI‰×AVI‰öAUI‰ýATUSHƒìxóoYóo!H‰L$('_H‹)$)d$„I9„áM‹eH‹kfïÀH++IÇD$A$„ÔH¸øÿÿÿÿÿÿH9è‚!H‰ïè©-ûÿH‰ÁfHnÁHÍflÀI‰l$A$H‹CH‹3H‰ÃH)óH9ðtH‰ÏH‰Úè#5ûÿH‰ÁI‹HÙI‰L$HXI‰I;^txI‹EHƒÀI‰EI;E…RÿÿÿI‹UH‹BHƒÂfHnÒfHnÀHøflÀAEfHnÀflÂAEI9…ÿÿÿHƒÄxL‰è[]A\A]A^A_Ã@1ÉéCÿÿÿf„I‹FH‹XHƒÀfHnÈfHnÃH»øflÀAfHnÇflÁAFI‹EHƒÀI‰EI9E…§þÿÿéPÿÿÿfH…íyèÆ.ûÿfDè[&ûÿH‰Çè£&ûÿóAoEóAo}Ht$PH‹D$(H|$0)|$P)D$`óo8óo@)|$0)D$@èv3ûÿè¡1ûÿH‰Ãèù3ûÿH‰ßè!5ûÿóúHƒìHƒÄÃ
%s has %d entries
%d between %g and %g%d exactly at %guser_driver.cpp#include %cClpSimplex.hpp%c
#include %cClpSolve.hpp%c
  ClpSimplex  model;
  int status=1;
  if (argc<2)
  else
  if (status) {
    exit(1);
  }


  // %s

  return 0;
}
C++ file written to %s
==**UsefulNoGood==== for integers %d zero objective absolute objective values %d different
_int_abs===== end objective countsThere are %d singletons with objective ** %d columns have no entriesColumn breakdown:%d of type %s Row breakdown:%d columns have %d entries

    .........
column %d %g <= <= %g
( %d, %g) Singleton free %d - cost %g
Total decomposition! - %d master rows %d <= < %d
wbblocks.datablock%d.mps** %d rows have no entries
XX %d rows have %d entries
row %d %g <= possible %d - %d integers
bad colbad row%d columns, %d rows
%d,%g ElementsRowLowerRowUpperColumnLowerColumnUpperObjectiveInteger objective./../../Data/Sample/../../Data/Netlib/../../Data/miplib3/.\..\..\Data\Sample\..\..\Data\Netlib\..\..\Data\miplib3\either???No match for abcd value sets valueCommands are:Command ---- description----Full list of commands is: value remains  has value EOL** Current model not validMatrix not a ClpPackedMatrixbasic_string::substrHOMEUnable to open file There were Saving presolved model on %s
Saving model on %s
There were errors on outputrbThere were errors on inputfake main from unitTest-netlibSetting  to DEBUG enter value for model really really scaledCoin LP version 1.16.12, build Sep  9 2024Non default values:-Perturbation  (default 100)append$stdoutstderr%d %d
%d 2 %g
4 %g 1.0
%d %g %g
optimal
infeasible
unbounded
stopped on difficulties
stopped on ctrl-c
status unknown
%15.8gObjective value %s
mismatched " in mask %s
mismatched ' in mask %s
mask %s too long - skipping
Bound rangingRhs rangingObjective ranging,nameNo names match - doing all%d,%s,%.10g,C%7.7d,R%7.7d,1.0e100,,C%7.7dR%7.7d1.0e100, %s         %s
** %7d  - ? for list of commandsShort match for  - completion:  : Multiple matches for  - possible completions:Completions of ÿÿÿÿÿÿïÿ4&õkÃèvH7„חÁjøÀˆÃÀ@ÀYÀ$À𿚙™™™™¹¿{®Gáz„¿ü©ñÒMbP¿-Cëâ6¿ñh㈵øä¾:Œ0âŽyE¾•dyáý¥½V瞯ҼV瞯Ò<•dyáý¥=:Œ0âŽyE>ñh㈵øä>-Cëâ6?ü©ñÒMbP?{®Gáz„?š™™™™™¹?ð?$@Y@@@ˆÃ@jø@„חAèvH7B4&õkCÿÿÿÿÿÿïtüÿF’üÿ¨”üÿ~€üÿ“‚üÿƒˆüÿŒüÿq¤üÿuyüÿuyüÿuyüÿ™üÿX¤üÿ96ûÿ—›üÿ{—üÿXvüÿXvüÿXvüÿӟüÿt}üÿ”üÿ	®üÿ٢üÿí®üÿšüÿؚüÿîšüÿuyüÿXvüÿXvüÿ†¢üÿ]¨üÿ(«üÿ96ûÿ96ûÿ96ûÿz–üÿ96ûÿ96ûÿ)Ÿüÿ96ûÿçžüÿ96ûÿ96ûÿ96ûÿŸüÿ©›üÿӟüÿ96ûÿ96ûÿ96ûÿ96ûÿ96ûÿ96ûÿ96ûÿ96ûÿ96ûÿ96ûÿ96ûÿuyüÿüÿüÿ(üÿ3üÿ>üÿIüÿJQüÿTüÿ_üÿjüÿuüÿDüÿjüÿ´üÿ˜üÿ˜üÿ˜üÿ7˜üÿX˜üÿܘüÿ˜˜üÿ¾˜üÿ¢ŽüÿŽüÿێüÿvŽüÿŽüÿŒŽüÿ—Žüÿüÿ.üÿ9üÿDüÿ¯Püÿ¯PüÿB|üÿKPüÿlÇüÿ³ÇüÿÇüÿÞÇüÿGÇüÿŽÇüÿ(ÿüÿ
ÿüÿòþüÿ×þüÿjÙüÿýÿÜòüÿÖòüÿÎòüÿÆòüÿ¾òüÿ¶òüÿ®òüÿ¦òüÿ8ôüÿ2ôüÿ*ôüÿ"ôüÿôüÿôüÿ
ôüÿôüÿbasic_string: construction from null is not valid
int main (int argc, const char *argv[])
{
    fprintf(stderr,%cPlease give file name%cn%c);
    status=model.readMps(argv[1],true);
    fprintf(stderr,%cBad readMps %%s%cn%c,argv[1]);
  // Now do requested saves and modifications
  ClpSimplex * clpModel = & model;

  // Now you would use solution etc etc

Original problem has %d integers (%d of which binary)
Presolved problem has %d integers (%d of which binary)
%d variables have objective of %g


Problem has %d rows, %d columns (%d with objective) and %d elements
%d singletons with no objective XX %d columns have %d entries
Doubleton free %d - cost %g - %g in %srow with %d entries and %g in %srow with %d entries
Singleton %d with no objective in row with %d elements - rhs %g,%g
Singleton %d (%s) with objective in row %d (%s) with %d equal elements - rhs %g,%g
%d singletons with zero cost, %d with valid cost
%s %d blocks (largest %d,%d), %d master rows (%d empty) out of %d, %d master columns (%d empty, %d integer) out of %d
Block %d has %d rows and %d columns (%d elements, %d integers)
Blocks data on file blocks.dataouch - did not check out as goodAdding %d rows with %d elements
Clp takes input from arguments ( - switches to stdin)Enter ? for list of commands or helpIn argument list keywords have leading - , -stdin or just - switches to stdinOne command per line (and no -)abcd? gives list of possibilities, if only one + explanationabcd?? adds explanation, if only one fuller helpabcd without value (where expected) gives current value is illegal for double parameter  is illegal for integer parameter Dual of model has %d rows and %d columns
Doing %d presolve passes - picking up non-costed slacks
Doing %d presolve passes - picking up costed slacks
Unable to open file user_driver.cppAfter translating dual back to primal - objective value is %gStatistics for presolved modelPresolved model looks infeasible - will use unpresolvedStatistics for unpresolved model** Analysis indicates model infeasibleMatrix converted to +- one matrixMatrix can not be converted to +- 1 matrixMatrix converted to network matrixMatrix can not be converted to network matrix%s: __pos (which is %zu) > this->size() (which is %zu)GMPL model file %s and data file %s
Presolved model looks infeasible - saving original on %s
Doing netlib with dual algorithmDoing netlib with barrier algorithmDoing netlib with dual or primal algorithmDoing netlib with best algorithm!Doing netlib with primal algorithmDummy user code - model has %d rows and %d columns
Presolve being done with 5 passes
Dual steepest edge steep/partial on matrix shape and factorization density
Clpnnnn taken out of messages
If Factorization frequency default then done on size of matrix

(-)unitTest, (-)netlib or (-)netlibp will do standard tests

You can switch to interactive mode at any time so
clp watson.mps -scaling off -primalsimplex
is the same as
clp watson.mps -
scaling off
primalsimplexstopped on iterations or time
For rows %d at lower, %d between, %d at upper - lowest %g, highest %g most away %g - highest dual %g lowest %g
For columns %d at lower, %d between, %d at upper - lowest %g, highest %g most away %g - highest dual %g lowest %g
,increase,variable,decrease,variable
 in :: method  : assertion '' failed.Possible reason: basic_string::appendvector::_M_realloc_insert9CoinError5  clpModel->initialSolve(clpSolRedundant save of default valuesSet changed valuRedundant set det default valuesRedundant restorÿÿÿÿÿÿÿ€þÿÿÿþÿÿÿþÿÿÿþÿÿÿeÉ-Double parameterKeyword parameteActions or strinring parameters:ters and others:ð¿ð?ÿÿÿÿÿÿïÿÿÿÿÿÿïÿ@ò?ê-™—q=@Œµx¯Ä@Œµx¯Dꌠ9Y>)Æꌠ9Y>)Fð=çåžð‘€>ˆÃ@�÷ư>z‡@Ãm¶ä>333333Ó?š™™™™™¹?:Œ0âŽyE>»½×Ùß|Û=CBC_CLP_ENVIRONMENTplusPLUSminusMINUS<Possible options for ;
	current  >directoryCurrent working directory is printM%s was changed from %g to %g%s was changed from %d to %d was provided for  - valid range is  to Option for  changed from minus%dplus%dSwitching to line modeimportString of Error in fread_fix_read_Error in fwriteFor helpFrom stdinnoallC!ommandsbasisI!nExport basis as bas fileUXLLbscaleoff1on1off2on2nativeWhich cholesky algorithmchol!eskydensefudge!Long_dummywssmp_dummyUni!versityOfFlorida_dummyTaucs_dummyMumps_dummyGenerates C++ codecpp!Generateoffso!low_halimlotsidiot1idiot2idiot3idiot4idiot5idiot6idiot7cross!overmaybepresolveWhether to try decompositiondecomp!osedense!Thresholdmin!imizeMinimize or Maximizedirectionmax!imizezerodirSampledirNetlibdirMiplibdualB!oundSolves dual reformulationdualizeDon't even think about it.auto!maticDual pivot choice algorithmdualP!ivotdant!zigpartialsteep!estDo dual simplex algorithmdualS!implexdualT!oleranceeither!SimplexStops clp executionenviron!menterror!sAllowedexitExport model as mps fileexportnormalWhich factorization to usefact!orizationsimpleoslfakeB!oundWhether to regularize barriergamma!(Delta)gammadeltaonstronggammastrongdeltastrongPuts glpk solution to filegsolu!tionWhether to try idiot crashidiot!CrashImport model from mps fileKKTmaxIt!erationsDo some of miplib test setSolve entire netlib test setnetlibB!arriernetlibP!rimalnetworkoutput!FormatpassP!resolveMethod of perturbationperturb!ationTries to make +- 1 matrixpO!ptionsPresolve optionsmorepreT!oleranceprimalP!ivotsprintDo primal simplex algorithmprimalT!olerancePrint optionsintegerrowscsvobjective!rangingstatsboundsallquitRandom seed for ClprestoreS!olutionreallyS!calerestore!ModelReverses sign of objectiverhs!ScalesaveS!olutionscal!inggeo!metricdynamicsec!ondsfor debugslp!Valuespecial!Optionssprint!CrashPrint some statisticsstoptightLPelapsedDo unit testuserClpvectorverbosezeroT!oleranceCurrent value of printMask is Current default (if $ as parameter) for <Range of values is %g to %g;
	current %g>
<Range of values is %d to %d;
	current %d>
%g was provided for %s - valid range is %g to %g%d was provided for %s - valid range is %d to %dusing time of day %s was changed from %d to %dOption for %s changed from %s to %sOption for %s given illegal value %sMismatch on rows and/or columns - giving upMismatch on rows and/or columns - truncating%d value of %g - bounds %g %g
Set basis back to all slack and reset solutionMainly useful for tuning purposes.  Normally the first dual or primal will be using an all slack basis anyway.Whether to scale objective, rhs and bounds of problem if they look oddSolve using primal dual predictor corrector algorithmThis command solves the current model using the  primal dual predictor corrector algorithm.  You may want to link in an alternative ordering and factorization.  It will also solve models with quadratic objectives.This will read an MPS format basis file from the given file name.  It will use the default directory given by 'directory'.  A name of '$' will use the previous value for the name.  This is initialized to '', i.e. it must be set.  If you have libz then it can read compressed files 'xxxxxxxx.gz' or xxxxxxxx.bz2.This will write an MPS format basis file to the given file name.  It will use the default directory given by 'directory'.  A name of '$' will use the previous value for the name.  This is initialized to 'default.bas'.Whether factorization biased towards UFor a barrier code to be effective it needs a good Cholesky ordering and factorization.  The native ordering and factorization is not state of the art, although acceptable.  You may want to link in one from another source.  See Makefile.locations for some possibilities.Once you like what the stand-alone solver does then this allows you to generate user_driver.cpp which approximates the code.  0 gives simplest driver, 1 generates saves and restores, 2 generates saves and restores even for variables at default value. 4 bit in cbc generates size dependent code rather than computed values.  This is now deprecated as you can call stand-alone solver - see Cbc/examples/driver4.cpp.Whether to create basis for problemIf crash is set on and there is an all slack basis then Clp will flip or put structural variables into basis with the aim of getting dual feasible.  On the whole dual seems to be better without it and there are alternative types of 'crash' for primal e.g. 'idiot' or 'sprint'. I have also added a variant due to Solow and Halim which is as on but just flip.Whether to get a basic solution after barrierInterior point algorithms do not obtain a basic solution (and the feasibility criterion is a bit suspect (JJF)).  This option will crossover to a basic solution suitable for ranging or branch and cut.  With the current state of quadratic it may be a good idea to switch off crossover for quadratic (and maybe presolve as well) - the option maybe does this.0 - off, 1 choose blocks >1 use as blocks Dantzig Wolfe if primal, Benders if dual - uses sprint pass for number of passesWhether to use dense factorizationIf processed problem <= this use dense factorizationThe default is minimize - use 'direction maximize' for maximization.
You can also use the parameters 'maximize' or 'minimize'.Set Default directory for import etc.This sets the directory which import, export, saveModel, restoreModel etc will use.  It is initialized to './'Set directory where the COIN-OR sample problems are.This sets the directory where the COIN-OR sample problems reside. It is used only when -unitTest is passed to clp. clp will pick up the test problems from this directory. It is initialized to '../../Data/Sample'Set directory where the netlib problems are.This sets the directory where the netlib problems reside. One can get the netlib problems from COIN-OR or from the main netlib site. This parameter is used only when -netlib is passed to clp. clp will pick up the netlib problems from this directory. If clp is built without zlib support then the problems must be uncompressed. It is initialized to '../../Data/Netlib'Set directory where the miplib 2003 problems are.This sets the directory where the miplib 2003 problems reside. One can get the miplib problems from COIN-OR or from the main miplib site. This parameter is used only when -miplib is passed to cbc. cbc will pick up the miplib problems from this directory. If cbc is built without zlib support then the problems must be uncompressed. It is initialized to '../../Data/miplib3'Initially algorithm acts as if no gap between bounds exceeds this valueThe dual algorithm in Clp is a single phase algorithm as opposed to a two phase algorithm where you first get feasible then optimal.  If a problem has both upper and lower bounds then it is trivial to get dual feasible by setting non basic variables to correct bound.  If the gap between the upper and lower bounds of a variable is more than the value of dualBound Clp introduces fake bounds so that it can make the problem dual feasible.  This has the same effect as a composite objective function in the primal algorithm.  Too high a value may mean more iterations, while too low a bound means the code may go all the way and then have to increase the bounds.  OSL had a heuristic to adjust bounds, maybe we need that here.Clp can use any pivot selection algorithm which the user codes as long as it implements the features in the abstract pivot base class.  The Dantzig method is implemented to show a simple method but its use is deprecated.  Steepest is the method of choice and there are two variants which keep all weights updated but only scan a subset each iteration. Partial switches this on while automatic decides at each iteration based on information about the factorization.This command solves the continuous relaxation of the current model using the dual steepest edge algorithm.The time and iterations may be affected by settings such as presolve, scaling, crash and also by dual pivot method, fake bound on variables and dual and primal tolerances.For an optimal solution no dual infeasibility may exceed this valueNormally the default tolerance is fine, but you may want to increase it a bit if a dual run seems to be having a hard time.  One method which can be faster is to use a large tolerance e.g. 1.0e-4 and dual and then clean up problem using primal and the correct tolerance (remembering to switch off presolve for this final short clean up phase).Do dual or primal simplex algorithmThis command solves the continuous relaxation of the current model using the dual or primal algorithm, based on a dubious analysis of model.This stops execution ; end, exit, quit and stop are synonymsRead commands from environmentThis starts reading from environment variable CBC_CLP_ENVIRONMENT.Whether to allow import errorsThe default is not to use any model which had errors when reading the mps file.  Setting this to 'on' will allow all errors from which the code can recover simply by ignoring the error.  There are some errors from which the code can not recover e.g. no ENDATA.  This has to be set before import i.e. -errorsAllowed on -import xxxxxx.mps.This stops the execution of Clp, end, exit, quit and stop are synonymsThis will write an MPS format file to the given file name.  It will use the default directory given by 'directory'.  A name of '$' will use the previous value for the name.  This is initialized to 'default.mps'.  It can be useful to get rid of the original names and go over to using Rnnnnnnn and Cnnnnnnn.  This can be done by setting 'keepnames' off before importing mps file.The default is to use the normal CoinFactorization, but other choices are a dense one, osl's or one designed for small problems.All bounds <= this value - DEBUGWill write a glpk solution file to the given file name.  It will use the default directory given by 'directory'.  A name of '$' will use the previous value for the name.  This is initialized to 'stdout' (this defaults to ordinary solution if stdout). If problem created from gmpl model - will do any reports.Print out version, non-standard options and some helpThis prints out some help to get user started.  If you have printed this then you should be past that stage:-)This is a type of 'crash' which works well on some homogeneous problems. It works best on problems with unit elements and rhs but will do something to any model.  It should only be used before primal.  It can be set to -1 when the code decides for itself whether to use it, 0 to switch off or n > 0 to do n passes.This will read an MPS format file from the given file name.  It will use the default directory given by 'directory'.  A name of '$' will use the previous value for the name.  This is initialized to '', i.e. it must be set.  If you have libgz then it can read compressed files 'xxxxxxxx.gz' or 'xxxxxxxx.bz2'.  If 'keepnames' is off, then names are dropped -> Rnnnnnnn and Cnnnnnnn.Whether to keep names from importLevel of detail in Solver outputIf 0 then there should be no output in normal circumstances.  1 is probably the best value for most uses, while 2 and 3 give more information.Maximum number of iterations between refactorizationsIf this is at its initial value of 200 then in this executable clp will guess at a value to use.  Otherwise the user can set a value.  The code may decide to re-factorize earlier for accuracy.This can be used for testing purposes.  The corresponding library call
      	setMaximumIterations(value)
 can be useful.  If the code stops on seconds or by an interrupt this will be treated as stopping on maximum iterations.  This is ignored in branchAndCut - use maxN!odes.Set optimization direction to minimizeThe default is minimize - use 'maximize' for maximization.
This should only be necessary if you have previously set maximization You can also use the parameters 'direction minimize'.The default behavior is to put out messages such as:
   Clp0005 2261  Objective 109.024 Primal infeas 944413 (758)
but this program turns this off to make it look more friendly.  It can be useful to turn them back on if you want to be able to 'grep' for particular messages or if you intend to override the behavior of a particular message.  This only affects Clp not Cbc.Yet more dubious options for Simplex - see ClpSimplex.hppThis exercises the unit test for clp and then solves the netlib test set using dual or primal.The user can set options before e.g. clp -presolve off -netlibSolve entire netlib test set (dual)This exercises the unit test for clp and then solves the netlib test set using dual.The user can set options before e.g. clp -presolve off -netlibSolve entire netlib test set with 'best' algorithmThis exercises the unit test for clp and then solves the netlib test set using whatever works best.  I know this is cheating but it also stresses the code better by doing a mixture of stuff.  The best algorithm was chosen on a Linux ThinkPad using native cholesky with University of Florida ordering.Clp will go faster if the matrix can be converted to a network.  The matrix operations may be a bit faster with more efficient storage, but the main advantage comes from using a network factorization.  It will probably not be as fast as a specialized network code.Scale factor to apply to objectiveIf the objective function has some very large values, you may wish to scale them internally by this amount.  It can also be set by autoscale.  It is applied after scaling.  You are unlikely to need this.Normally export will be done using normal representation for numbers and two values per line.  You may want to do just one per line (for grep or suchlike) and you may wish to save with absolute accuracy using a coded version of the IEEE value. A value of 2 is normal. otherwise odd values gives one value per line, even two.  Values 1,2 give normal format, 3,4 gives greater precision, while 5,6 give IEEE values.  When used for exporting a basis 1 does not save values, 2 saves values, 3 with greater accuracy and 4 in IEEE.This will read a file with parametric data from the given file name and then do parametrics.  It will use the default directory given by 'directory'.  A name of '$' will use the previous value for the name.  This is initialized to '', i.e. it must be set.  This can not read from compressed files. File is in modified csv format - a line ROWS will be followed by rows data while a line COLUMNS will be followed by column data.  The last line should be ENDATA. The ROWS line must exist and is in the format ROWS, inital theta, final theta, interval theta, n where n is 0 to get CLPI0062 message at interval or at each change of theta and 1 to get CLPI0063 message at each iteration.  If interval theta is 0.0 or >= final theta then no interval reporting.  n may be missed out when it is taken as 0.  If there is Row data then there is a headings line with allowed headings - name, number, lower(rhs change), upper(rhs change), rhs(change).  Either the lower and upper fields should be given or the rhs field. The optional COLUMNS line is followed by a headings line with allowed headings - name, number, objective(change), lower(change), upper(change).  Exactly one of name and number must be given for either section and missing ones have value 0.0.Perturbation helps to stop cycling, but Clp uses other measures for this.  However large problems and especially ones with unit elements and unit rhs or costs benefit from perturbation.  Normally Clp tries to be intelligent, but you can switch this off.  The Clp library has this off by default.  This program has it on by default.Whether to use Product Form of Inverse in simplexClp will go slightly faster if the matrix can be converted so that the elements are not stored and are known to be unit.  The main advantage is memory use.  Clp may automatically see if it can convert the problem so you should not need to use this.Presolve analyzes the model to find such things as redundant equations, equations which fix some variables, equations which can be transformed into bounds etc etc.  For the initial solve of any problem this is worth doing unless you know that it will have no effect.  on will normally do 5 passes while using 'more' will do 10.  If the problem is very large you may need to write the original to file using 'file'.Clp can use any pivot selection algorithm which the user codes as long as it implements the features in the abstract pivot base class.  The Dantzig method is implemented to show a simple method but its use is deprecated.  Exact devex is the method of choice and there are two variants which keep all weights updated but only scan a subset each iteration. Partial switches this on while change initially does dantzig until the factorization becomes denser.  This is still a work in progress.This command solves the continuous relaxation of the current model using the primal algorithm.  The default is to use exact devex. The time and iterations may be affected by settings such as presolve, scaling, crash and also by column selection  method, infeasibility weight and dual and primal tolerances.Initially algorithm acts as if it costs this much to be infeasibleThe primal algorithm in Clp is a single phase algorithm as opposed to a two phase algorithm where you first get feasible then optimal.  So Clp is minimizing this weight times the sum of primal infeasibilities plus the true objective function (in minimization sense).  Too high a value may mean more iterations, while too low a bound means the code may go all the way and then have to increase the weight in order to get feasible.  OSL had a heuristic to adjust bounds, maybe we need that here.This changes the amount and format of printing a solution:
normal - nonzero column variables 
integer - nonzero integer column variables
special - in format suitable for OsiRowCutDebugger
rows - nonzero column variables and row activities
all - all column variables and row activities.

For non-integer problems 'integer' and 'special' act like 'normal'.  Also see printMask for controlling output.Control printing of solution on a  maskIf set then only those names which match mask are printed in a solution. '?' matches any character and '*' matches any set of characters.  The default is '' i.e. unset so all variables are printed. This is only active if model has names.This sets a random seed for Clp - 0 says use time of day.This will read a binary solution file from the given file name.  It will use the default directory given by 'directory'.  A name of '$' will use the previous value for the name.  This is initialized to 'solution.file'.  This reads in a file from saveSolutionScale factor to apply to objective in placeYou can set this to -1.0 to test maximization or other to stress codeUseful for testing if maximization works correctlyThis will save the problem to the given file name for future use by restoreModel.  It will use the default directory given by 'directory'.  A name of '$' will use the previous value for the name.  This is initialized to 'default.prob'.This will write a binary solution file to the given file name.  It will use the default directory given by 'directory'.  A name of '$' will use the previous value for the name.  This is initialized to 'solution.file'.  To read the file use fread(int) twice to pick up number of rows and columns, then fread(double) to pick up objective value, then pick up row activities, row duals, column activities and reduced costs - see bottom of CbcOrClpParam.cpp for code that reads or writes file. If name contains '_fix_read_' then does not write but reads and will fix all variablesScaling can help in solving problems which might otherwise fail because of lack of accuracy.  It can also reduce the number of iterations.  It is not applied if the range of elements is small.  When unscaled it is possible that there may be small primal and/or infeasibilities.If passed to solver fom ampl, then ampl will wait so that you can copy .nl file for debug.Whether to use small factorizationIf processed problem <= this use small factorizationThis will write a primitive solution file to the given file name.  It will use the default directory given by 'directory'.  A name of '$' will use the previous value for the name.  This is initialized to 'stdout'.  The amount of output can be varied using printi!ngOptions or printMask.Solve problem using dual simplex (probably)Whether factorization treated as sparseFor long and thin problems this program may solve a series of small problems created by taking a subset of the columns.  I introduced the idea as 'Sprint' after an LP code of that name of the 60's which tried the same tactic (not totally successfully).  Cplex calls it 'sifting'.  -1 is automatic choice, 0 is off, n is number of passesThis command prints some statistics for the current model. If log level >1 then more is printed. These are for presolved model if presolve on (and unscaled).How long a column to substitute for in presolveNormally Presolve gets rid of 'free' variables when there are no more than 3  variables in column.  If you increase this the number of rows may decrease but number of  elements may increase.Whether to use CPU or elapsed timeThis exercises the unit test for clpIf this is on ClpPackedMatrix uses extra column copy in odd format.Switches on longer help on single ?Set to 1 to get short help with ? list, 2 to get long help, 3 for both.  (add 4 to just get ampl ones).Kill all coefficients whose absolute value is less than this valueThis applies to reading mps files (and also lp files if KILL_ZERO_READLP defined)DíüÿDíüÿÄìüÿÜìüÿôìüÿíüÿ$íüÿ4íüÿ´ìüÿ–îüÿ0îüÿ@îüÿPîüÿ`îüÿpîüÿ€îüÿîüÿ îüÿ¼ïüÿœïüÿŒïüÿ|ïüÿÑîüÿÑîüÿÑîüÿÑîüÿÑîüÿÑîüÿÑîüÿdïüÿÑîüÿÑîüÿÑîüÿÑîüÿÑîüÿÑîüÿLïüÿ<ïüÿLñüÿ\ñüÿtñüÿ|ñüÿ<ñüÿ<ñüÿ<ñüÿ<ñüÿ<ñüÿ<ñüÿ<ñüÿŒñüÿ<ñüÿ<ñüÿ<ñüÿ<ñüÿ<ñüÿ<ñüÿœñüÿ¬ñüÿÀýÿ¸ýÿ®ýÿ¤ýÿšýÿýÿ†ýÿ|ýÿèýÿàýÿÖýÿÌýÿÂýÿ¸ýÿ®ýÿ¤ýÿýÿýÿþýÿôýÿêýÿàýÿÖýÿÌýÿ8ýÿ0ýÿ&ýÿýÿýÿýÿþýÿôýÿ€„.AÀÿÿÿßAà?ÿÿÿÿ¢”mB#B’¡œÇ;4&õkCñh㈵øä>0Žä.ÿ++èÿÿÿÿÿÿÿÿWhether to print less used commaFor the sake of your sanity, only the more useful and simple commands are printerinted out on ?.If you think you may get odd objective values or large equality rows etc then it may be worth setting this true.  It is still experimental and you may prefer to use objective!Scale and rhs!ScaImport basis frois from bas fileWhether to scale in barrier (and ordering speed)It saves space to get rid of names so if you need to you can set this to off.  This needs to be set before the import of model - so -keepnames off -import xxxxxWhether to use KKT factorizationSet optimization direction to maThe default is minimize - use 'maximize' for maximization.
You can also use the parameters 'direction maximize'.Maximum number of iterations bef before stoppingControls if Clpnpnnnn is printedmoreS!pecialOptiSolve entire netlib test set witset with barrierThis exercises the unit test for clp and then solves the netlib test set using barrier.The user can set options before e.g. clp  -kkt on -netliblib test set (prtest set using primal.The user can set options before e.g. clp -presolve off -neTries to make nee network matrixWhich output forut format to useImport data from file and do parHow many passes sses in presolveNormally Presolve does 10 passes but you may want to do less to make it more lightweight or do more if improvements are still being made.  As Presolve will return if nothing is being taken out, you should not normally need to use this fine Whether to pertu perturb problemBy default clp uses Forrest-Tomlin L-U update.  If you are masochistic you can sn switch it off.Dubious print opIf this is > 0 then presolve will give more information and branch and cut will  give statisticsWhether to presopresolve problemTolerance to use use in presolveThe default is 1.0e-8 - you may wish to try 1.0e-7 if presolve says the problem is infeasible and you have awkward numbers and you are sure the problem is reallreally feasible.Primal pivot chochoice algorithmFor an optimal solution no primal infeasibility may exceed this Normally the default tolerance is fine, but you may want to increase it a bit if a primal run seems to be havingving a hard timeprinti!ngOptionsStops clp executThis stops the execution of Clp, end, exit, quit and stop are syreads solution freallyO!bjectiveScales model in Restore model frfrom binary fileThis reads data save by saveModel from the given file.  It will use the default directory given by 'directory'.  A name of '$' will use the previous value for the name.  This is initialized to 'default.prob'.Scale factor to apply to rhs andIf the rhs or bounds have some very large meaningful values, you may wish to scale them internally by this amount.  It can also be set by autoscale.  This should not be needed.Save model to bil to binary filesaves solution tAfter this many seconds clp will act as if maximum iterations had been reached ( (if value >=0).Number of slp passes before primIf you are solving a quadratic problem using primal then it may be helpful to do some sequential Lps to get a good approximate ssmall!FactorizatPrints solution Just so can use solve for clp ass well as in cbcDubious options for Simplex - see ClpSimplex.hppWhether to try stry sprint crashPoor person's prpreSolve for nowcpu uses CPU time for stopping, while elapsed uses elapsed time. (On Windows, elapsed time is alis always used).Hand coded Clp sThere are times e.g. when using AMPL interface when you may wish to do something unusual.  Look for USERCLP in main driver and modify sample codWhether to use vector? Form of matrix in simplex14MyEventHandlerdeque::_M_new_elements_at_frontdeque::_M_new_elements_at_backcannot create std::deque larger than max_size()Objective There are %d primal infeasibilities
16MyMessageHandlerObjvalue %g Rows (%d)
offset %g (%g)
Columns (%d)
obj -> %g gradient %g
Computed objective %g
vector<bool>::_M_insert_auxnameBarrierdu-crdual-crashdudualpr-crprimal-crashprprimalau-creither-crashaupr-id-1primal-idiot-1pr-id-5primal-idiot-5pr-id-70primal-idiot-70Undefined parameter "".
Correct usage: 
  where:
    -netlib
unitTest.cppbottom == 0 || bottom == 125fv47%d %s skipped by userskipped as not availablewill be tested80bau3bblendpilotnovmaros-r7pilotpilot4pilot87adlittleafiroaggagg2agg3bandmbeaconfdbnl1bnl2boeing1boeing2bore3dbrandycapricycleczprobd2q06cd6cubedegen2degen3dfl001e226etamacrofffff800finnisfit1dfit1pfit2dfit2pforplangangesgfrd-pncgreenbeagreenbebgrow15grow22grow7israelkb2lotfimarosmodszk1nesmperoldrecipesc105sc205sc50asc50bscagr25scagr7scfxm1scfxm2scfxm3scorpionscrs8scsd1scsd6scsd8sctap1sctap2sctap3sebashare1bshare2bshellship04lship04sship08lship08sship12lship12ssierrastairstandatastandmpsstocfor1stocfor2tuffvtpbasewood1pwoodw  processing mps file:  ( out of Error  when reading model from ! Aborting tests.
%s %s %gbarrier-slow** NOT OPTIMAL ,   diff ** difference failsTotal time %g seconds
Some tests failed
!returnCodeeq(colsol[i], colsol1[i])exmip1Saved Solution:  ColNum:  Value: B-1 A by row%g, B-1 A by column!rowScaleB-1 A
row: %d -> (%d %g), And by column (trickier)
column: %d -> binvrowAnd by column 
col: %d -> solution.status() == 0value > -1.0e-5value < 1.0e-5eq(value, sol[iRow])value < upper[iRow] + 1.0e-8value > lower[iRow] - 1.0e-8solution.status() == 2upper[iColumn] > 1.0e30lower[iColumn] < -1.0e30objChange > 0.0value < upper[iRow] + 2.0e-8value > lower[iRow] - 2.0e-8upper[iRow] > 1.0e30lower[iRow] < -1.0e30solution.status() == 1raylo2 > up || up2 < loyy.mpsxx.mpsData/Sample/input.130bad fscanfBEGIN!strcmp(temp, "BEGIN")%*s %*s %d %d %*s %*s %d %*sSUPPLYUnable to find SUPPLY
ARCSUnable to find ARCS
%d %d %d %dDEMANDUnable to find DEMAND
ENDUnable to find END
 secondsplusMinus->getIndices()share2qpeq(objValue, -400.92)test.mpstest2.mps%d primal %g dual %g low %g up %g
  clp [-dirSample=V1] [-dirNetlib=V2] [-netlib]
    -dirSample: directory containing mps test files
        Default value V1="../../Data/Sample"
    -dirNetlib: directory containing netlib files"
        Default value V2="../../Data/Netlib"
        If specified, then netlib testset run as well as the nitTest.
int mainTest(int, const char**, int, ClpSimplex, ClpSolve, int, bool)***Skipped Testing on netlib    ***
Finished %s Took %g seconds (%d iterations) - status %d
Best strategy for %s is %s (%d) which takes %g seconds
No strategy finished in time limit%s took %g seconds using algorithm %s
***use -netlib to test class***
All tests completed successfully
void ClpSimplexUnitTest(const std::string&)solution.secondaryStatus() == 102Error reading exmip1 from sample data. Skipping test.Testing derived message handler%d increase %g %d, decrease %g %d
fabs(costDecrease[3]) < 1.0e-4fabs(costIncrease[7] - 1.0) < 1.0e-4fabs(costIncrease[i] - costDecrease2[i]) < 1.0e-6fabs(costDecrease[i] - costIncrease2[i]) < 1.0e-6sequenceIncrease[i] == sequenceDecrease2[i]sequenceDecrease[i] == sequenceIncrease2[i]fabs(valueIncrease[3] - 0.642857) < 1.0e-4fabs(valueIncrease[8] - 2.95113) < 1.0e-4Unable to open finnis.mps in %s
Most probable cause is that sample data is not available, or finnis.mps is gzipped i.e. finnis.mps.gz and libz has not been activated
Either gunzip files or edit Makefiles/Makefile.location to get libz
eq(objValue, -4.6475314286e+02)eq(solution.objectiveValue(), -4.6475314286e+02)value < upper[iColumn] + 1.0e-8value > lower[iColumn] - 1.0e-8Error reading afiro from sample data. Skipping test.Error reading brandy from sample data. Skipping test.eq(solution.objectiveValue(), 1.5185098965e+03)Unable to open file input.130 in dirSample or Data/Sample directory
Problem %d has %d rows and %d columns
Network problem, ClpPackedMatrix took Network problem, ClpPlusMinusOneMatrix took Network problem, ClpNetworkMatrix took Error reading share2qp from sample data. Skipping test.(&þÿè%þÿÀ&þÿ'þÿP'þÿ'þÿÐ'þÿ((þÿh(þÿÀ(þÿh&þÿè%þÿCoinFillNtrying to fill negative number of entriesDXÿÿ:Xÿÿ5Xÿÿ0Xÿÿ+Xÿÿ&Xÿÿ!XÿÿXÿÿCoinDisjointCopyNtrying to copy negative number of entries$ZÿÿhZÿÿ^ZÿÿTZÿÿJZÿÿ@Zÿÿ6Zÿÿ,Zÿÿ@@ _ B _ BÀð?ð?ð?Àð?,@@@ _ B@ _ ÂY@Y@·m۶mÛ@@ð¿à¿ð?à?	
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