The MOSEK command line tool Version 7.0 (Revision 141)

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252 CHAPTER 11. API CONSTANTS MSK IINF MIO NUM KNAPSUR COVER CUTS Number of knapsack cover cuts. MSK IINF MIO NUM LATTICE CUTS Number of lattice cuts. MSK IINF MIO NUM LIFT CUTS Number of lift cuts. MSK IINF MIO NUM OBJ CUTS Number of obj cuts. MSK IINF MIO NUM PLAN LOC CUTS Number of loc cuts. MSK IINF MIO NUM RELAX Number of relaxations solved during the optimization. MSK IINF MIO NUMCON Number of constraints in the problem solved be the mixed-integer optimizer. MSK IINF MIO NUMINT Number of integer variables in the problem solved be the mixed-integer optimizer. MSK IINF MIO NUMVAR Number of variables in the problem solved be the mixed-integer optimizer. MSK IINF MIO OBJ BOUND DEFINED Non-zero if a valid objective bound has been found, otherwise zero. MSK IINF MIO TOTAL NUM CUTS Total number of cuts generated by the mixed-integer optimizer. MSK IINF MIO USER OBJ CUT If it is non-zero, then the objective cut is used. MSK IINF OPT NUMCON Number of constraints in the problem solved when the optimizer is called. MSK IINF OPT NUMVAR Number of variables in the problem solved when the optimizer is called MSK IINF OPTIMIZE RESPONSE The reponse code returned by optimize. MSK IINF RD NUMBARVAR Number of variables read.
11.13. INTEGER INFORMATION ITEMS. 253 MSK IINF RD NUMCON Number of constraints read. MSK IINF RD NUMCONE Number of conic constraints read. MSK IINF RD NUMINTVAR Number of integer-constrained variables read. MSK IINF RD NUMQ Number of nonempty Q matrixes read. MSK IINF RD NUMVAR Number of variables read. MSK IINF RD PROTYPE Problem type. MSK IINF SIM DUAL DEG ITER The number of dual degenerate iterations. MSK IINF SIM DUAL HOTSTART If 1 then the dual simplex algorithm is solving from an advanced basis. MSK IINF SIM DUAL HOTSTART LU If 1 then a valid basis factorization of full rank was located and used by the dual simplex algorithm. MSK IINF SIM DUAL INF ITER The number of iterations taken with dual infeasibility. MSK IINF SIM DUAL ITER Number of dual simplex iterations during the last optimization. MSK IINF SIM NETWORK DUAL DEG ITER The number of dual network degenerate iterations. MSK IINF SIM NETWORK DUAL HOTSTART If 1 then the dual network simplex algorithm is solving from an advanced basis. MSK IINF SIM NETWORK DUAL HOTSTART LU If 1 then a valid basis factorization of full rank was located and used by the dual network simplex algorithm. MSK IINF SIM NETWORK DUAL INF ITER The number of iterations taken with dual infeasibility in the network optimizer.
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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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9.3. MSKSPARAME: STRING PARAMETER T
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Page 217 and 218: 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 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 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: 11.13. INTEGER INFORMATION ITEMS. 2
Page 271 and 272: 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
Page 295 and 296: 13.1. MPS FILE STRUCTURE 279 Extens
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Page 303 and 304: 13.2. INTEGER VARIABLES 287 13.2 In
Page 305 and 306: Chapter 14 The LP file format MOSEK
Page 307 and 308: 14.1. THE SECTIONS 291 x1 * x2 Ther
Page 309 and 310: 14.2. LP FORMAT PECULIARITIES 293 1
Page 311 and 312: 14.3. THE STRICT LP FORMAT 295 MSK
Page 313 and 314: Chapter 15 The OPF format The Optim
Page 315 and 316: 15.2. THE FILE FORMAT 299 [con ’c
Page 317 and 318: 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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