The MOSEK command line tool Version 7.0 (Revision 141)

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228 CHAPTER 10. RESPONSE CODES MSK RES WRN EMPTY NAME A variable or constraint name is empty. The output file may be invalid. MSK RES WRN IGNORE INTEGER Ignored integer constraints. MSK RES WRN INCOMPLETE LINEAR DEPENDENCY CHECK The linear dependency check(s) is not completed. Normally this is not an important warning unless the optimization problem has been formulated with linear dependencies which is bad practice. MSK RES WRN LARGE AIJ A numerically large value is specified for an a i,j element in A. The parameter MSK DPAR DATA TOL AIJ LARGE controls when an a i,j is considered large. MSK RES WRN LARGE BOUND A numerically large bound value is specified. MSK RES WRN LARGE CJ A numerically large value is specified for one c j . MSK RES WRN LARGE CON FX An equality constraint is fixed to a numerically large value. This can cause numerical problems. MSK RES WRN LARGE LO BOUND A numerically large lower bound value is specified. MSK RES WRN LARGE UP BOUND A numerically large upper bound value is specified. MSK RES WRN LICENSE EXPIRE The license expires. MSK RES WRN LICENSE FEATURE EXPIRE The license expires. MSK RES WRN LICENSE SERVER The license server is not responding. MSK RES WRN LP DROP VARIABLE Ignored a variable because the variable was not previously defined. Usually this implies that a variable appears in the bound section but not in the objective or the constraints. MSK RES WRN LP OLD QUAD FORMAT Missing ’/2’ after quadratic expressions in bound or objective.
229 MSK RES WRN MIO INFEASIBLE FINAL The final mixed-integer problem with all the integer variables fixed at their optimal values is infeasible. MSK RES WRN MPS SPLIT BOU VECTOR A BOUNDS vector is split into several nonadjacent parts in an MPS file. MSK RES WRN MPS SPLIT RAN VECTOR A RANGE vector is split into several nonadjacent parts in an MPS file. MSK RES WRN MPS SPLIT RHS VECTOR An RHS vector is split into several nonadjacent parts in an MPS file. MSK RES WRN NAME MAX LEN A name is longer than the buffer that is supposed to hold it. MSK RES WRN NO DUALIZER No automatic dualizer is available for the specified problem. The primal problem is solved. MSK RES WRN NO GLOBAL OPTIMIZER No global optimizer is available. MSK RES WRN NO NONLINEAR FUNCTION WRITE The problem contains a general nonlinear function in either the objective or the constraints. Such a nonlinear function cannot be written to a disk file. Note that quadratic terms when inputted explicitly can be written to disk. MSK RES WRN NZ IN UPR TRI Non-zero elements specified in the upper triangle of a matrix were ignored. MSK RES WRN OPEN PARAM FILE The parameter file could not be opened. MSK RES WRN PARAM IGNORED CMIO A parameter was ignored by the conic mixed integer optimizer. MSK RES WRN PARAM NAME DOU The parameter name is not recognized as a double parameter. MSK RES WRN PARAM NAME INT The parameter name is not recognized as a integer parameter. MSK RES WRN PARAM NAME STR The parameter name is not recognized as a string parameter. MSK RES WRN PARAM STR VALUE The string is not recognized as a symbolic value for the parameter.
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The MOSEK command line tool. Versio
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Contents 1 Changes and new features
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CONTENTS v 6.5 Termination criterio
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CONTENTS vii 9.1.56 MSK DPAR NONCON
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CONTENTS ix 9.2.79 MSK IPAR MIO FEA
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CONTENTS xi 9.2.171 MSK IPAR SOL RE
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CONTENTS xiii 11.29 Ordering strate
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CONTENTS xv 18.2 arki001 . . . . .
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Contact information Phone +45 3917
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License agreement Before using the
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Chapter 1 Changes and new features
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1.4. OPTIMIZATION TOOLBOX FOR MATLA
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Chapter 2 What is MOSEK MOSEK is a
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Chapter 3 MOSEK and AMPL AMPL is a
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3.6. CONSTRAINT AND VARIABLE NAMES
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3.8. HOT-START 15 Linear dependency
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3.10. SENSITIVITY ANALYSIS 17 • .
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Chapter 4 Problem formulation and s
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4.1. LINEAR OPTIMIZATION 21 be a pr
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4.2. CONIC QUADRATIC OPTIMIZATION 2
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4.2. CONIC QUADRATIC OPTIMIZATION 2
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4.3. SEMIDEFINITE OPTIMIZATION 27 4
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4.5. GENERAL CONVEX OPTIMIZATION 29
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4.5. GENERAL CONVEX OPTIMIZATION 31
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Chapter 5 The optimizers for contin
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5.1. HOW AN OPTIMIZER WORKS 35 5.1.
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5.2. LINEAR OPTIMIZATION 37 5.2.2 T
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5.2. LINEAR OPTIMIZATION 39 Wheneve
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5.2. LINEAR OPTIMIZATION 41 5.2.2.3
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5.2. LINEAR OPTIMIZATION 43 • Rai
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5.5. NONLINEAR CONVEX OPTIMIZATION
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5.6. SOLVING PROBLEMS IN PARALLEL 4
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Chapter 6 The optimizers for mixed-
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6.3. THE MIXED-INTEGER CONIC OPTIMI
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6.5. TERMINATION CRITERION 53 The f
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6.7. UNDERSTANDING SOLUTION QUALITY
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Chapter 7 The analyzers 7.1 The pro
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7.1. THE PROBLEM ANALYZER 59 Constr
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7.2. ANALYZING INFEASIBLE PROBLEMS
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Chapter 8 Sensitivity analysis 8.1
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8.4. SENSITIVITY ANALYSIS FOR LINEA
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8.5. SENSITIVITY ANALYSIS WITH THE
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8.5. SENSITIVITY ANALYSIS WITH THE
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Chapter 9 Parameters Parameters gro
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81 • MSK SPAR ITR SOL FILE NAME.
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83 • MSK DPAR INTPNT NL TOL REL G
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85 • MSK IPAR LOG MIO. Controls t
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87 • MSK DPAR INTPNT NL MERIT BAL
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89 • MSK IPAR INFEAS PREFER PRIMA
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91 • MSK IPAR SIM SAVE LU. Contro
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9.1. MSKDPARAME: DOUBLE PARAMETERS
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9.2. MSKIPARAME: INTEGER PARAMETERS
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Page 193 and 194: 9.2. MSKIPARAME: INTEGER PARAMETERS
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Page 219 and 220: Chapter 10 Response codes Response
Page 221 and 222: 205 MSK RES ERR CON Q NOT PSD The q
Page 223 and 224: 207 MSK RES ERR GLOBAL INV CONIC PR
Page 225 and 226: 209 MSK RES ERR INV MARKJ Invalid v
Page 227 and 228: 211 MSK RES ERR INVALID FORMAT TYPE
Page 229 and 230: 213 MSK RES ERR LICENSE NO SERVER S
Page 231 and 232: 215 MSK RES ERR MIO NO OPTIMIZER No
Page 233 and 234: 217 MSK RES ERR NAME MAX LEN A name
Page 235 and 236: 219 MSK RES ERR NUMCONLIM Maximum n
Page 237 and 238: 221 MSK RES ERR QCON UPPER TRIANGLE
Page 239 and 240: 223 MSK RES ERR SYM MAT INVALID COL
Page 241 and 242: 225 MSK RES ERR USER NLO FUNC The u
Page 243: 227 MSK RES WRN ANA ALMOST INT BOUN
Page 247 and 248: 231 MSK RES WRN WRITE DISCARDED CFI
Page 249 and 250: Chapter 11 API constants 11.1 Const
Page 251 and 252: 11.5. PROGRESS CALL-BACK CODES 235
Page 259 and 260: 11.6. TYPES OF CONVEXITY CHECKS. 24
Page 261 and 262: 11.10. DOUBLE INFORMATION ITEMS 245
Page 263 and 264: 11.10. DOUBLE INFORMATION ITEMS 247
Page 265 and 266: 11.11. FEASIBILITY REPAIR TYPES 249
Page 267 and 268: 11.13. INTEGER INFORMATION ITEMS. 2
Page 273 and 274: 11.17. LANGUAGE SELECTION CONSTANTS
Page 275 and 276: 11.22. MIXED-INTEGER NODE SELECTION
Page 277 and 278: 11.29. ORDERING STRATEGIES 261 MSK
Page 279 and 280: 11.34. PROBLEM STATUS KEYS 263 MSK
Page 281 and 282: 11.38. SENSITIVITY TYPES 265 MSK SC
Page 283 and 284: 11.44. SOLUTION ITEMS 267 MSK SIM S
Page 285 and 286: 11.46. SOLUTION TYPES 269 11.46 Sol
Page 287 and 288: 11.52. INTEGER VALUES 271 11.52 Int
Page 289 and 290: Chapter 12 MOSEK Command line tool
Page 291 and 292: 12.3. THE PARAMETER FILE 275 -min F
Page 293 and 294: Chapter 13 The MPS file format MOSE
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13.1. MPS FILE STRUCTURE 279 Extens
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13.1. MPS FILE STRUCTURE 281 [vname
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13.1. MPS FILE STRUCTURE 283 Field
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13.1. MPS FILE STRUCTURE 285 Next d
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13.2. INTEGER VARIABLES 287 13.2 In
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Chapter 14 The LP file format MOSEK
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14.1. THE SECTIONS 291 x1 * x2 Ther
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14.2. LP FORMAT PECULIARITIES 293 1
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14.3. THE STRICT LP FORMAT 295 MSK
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Chapter 15 The OPF format The Optim
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15.2. THE FILE FORMAT 299 [con ’c
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15.2. THE FILE FORMAT 301 - ‘NEAR
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15.4. WRITING OPF FILES FROM MOSEK
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15.5. EXAMPLES 305 [/hints] [variab
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15.5. EXAMPLES 307 x1 x2 [/integer]
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Chapter 16 The XML (OSiL) format MO
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Chapter 17 The solution file format
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17.2. THE INTEGER SOLUTION FILE 313
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Chapter 18 Problem analyzer example
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18.2. ARKI001 317 2 476 45.42 48.19
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18.4. PROBLEM WITH BOTH LINEAR AND
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Bibliography [1] R. Fourer and D. M
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Index AMPL outlev, 13 wantsol, 13 a
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INDEX 325 MSK RES ERR FEASREPAIR IN
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INDEX 327 MSK RES ERR MPS NULL VAR
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INDEX 329 MSK RES TRM MAX TIME, 226
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