The MOSEK command line tool Version 7.0 (Revision 141)

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218 CHAPTER 10. RESPONSE CODES MSK RES ERR NO DUAL INFEAS CER A certificate of infeasibility is not available. MSK RES ERR NO DUAL INFO FOR ITG SOL Dual information is not available for the integer solution. MSK RES ERR NO INIT ENV env is not initialized. MSK RES ERR NO OPTIMIZER VAR TYPE No optimizer is available for this class of optimization problems. MSK RES ERR NO PRIMAL INFEAS CER A certificate of primal infeasibility is not available. MSK RES ERR NO SNX FOR BAS SOL s x n is not available for the basis solution. MSK RES ERR NO SOLUTION IN CALLBACK The required solution is not available. MSK RES ERR NON UNIQUE ARRAY An array does not contain unique elements. MSK RES ERR NONCONVEX The optimization problem is nonconvex. MSK RES ERR NONLINEAR EQUALITY The model contains a nonlinear equality which defines a nonconvex set. MSK RES ERR NONLINEAR FUNCTIONS NOT ALLOWED An operation that is invalid for problems with nonlinear functions defined has been attempted. MSK RES ERR NONLINEAR RANGED The model contains a nonlinear ranged constraint which by definition defines a nonconvex set. MSK RES ERR NR ARGUMENTS Incorrect number of function arguments. MSK RES ERR NULL ENV env is a NULL pointer. MSK RES ERR NULL POINTER An argument to a function is unexpectedly a NULL pointer. MSK RES ERR NULL TASK task is a NULL pointer.
219 MSK RES ERR NUMCONLIM Maximum number of constraints limit is exceeded. MSK RES ERR NUMVARLIM Maximum number of variables limit is exceeded. MSK RES ERR OBJ Q NOT NSD The quadratic coefficient matrix in the objective is not negative semidefinite as expected for a maximization problem. The parameter MSK DPAR CHECK CONVEXITY REL TOL can be used to relax the convexity check. MSK RES ERR OBJ Q NOT PSD The quadratic coefficient matrix in the objective is not positive semidefinite as expected for a minimization problem. The parameter MSK DPAR CHECK CONVEXITY REL TOL can be used to relax the convexity check. MSK RES ERR OBJECTIVE RANGE Empty objective range. MSK RES ERR OLDER DLL The dynamic link library is older than the specified version. MSK RES ERR OPEN DL A dynamic link library could not be opened. MSK RES ERR OPF FORMAT Syntax error in an OPF file MSK RES ERR OPF NEW VARIABLE Introducing new variables is now allowed. When a [variables] section is present, it is not allowed to introduce new variables later in the problem. MSK RES ERR OPF PREMATURE EOF Premature end of file in an OPF file. MSK RES ERR OPTIMIZER LICENSE The optimizer required is not licensed. MSK RES ERR ORD INVALID Invalid content in branch ordering file. MSK RES ERR ORD INVALID BRANCH DIR An invalid branch direction key is specified. MSK RES ERR OVERFLOW A computation produced an overflow i.e. a very large number.
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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 183 and 184: 9.2. MSKIPARAME: INTEGER PARAMETERS
Page 211 and 212: 9.3. MSKSPARAME: STRING PARAMETER T
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: 217 MSK RES ERR NAME MAX LEN A name
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 and 244: 227 MSK RES WRN ANA ALMOST INT BOUN
Page 245 and 246: 229 MSK RES WRN MIO INFEASIBLE FINA
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
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11.46. SOLUTION TYPES 269 11.46 Sol
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11.52. INTEGER VALUES 271 11.52 Int
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Chapter 12 MOSEK Command line tool
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12.3. THE PARAMETER FILE 275 -min F
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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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The MOSEK command line tool Version 7.0 (Revision 141)

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