The MOSEK command line tool Version 7.0 (Revision 141)

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250 CHAPTER 11. API CONSTANTS MSK IINF ANA PRO NUM CON UP Number of constraints with an upper bound and an infinite lower bound. MSK IINF ANA PRO NUM VAR Number of variables in the problem. MSK IINF ANA PRO NUM VAR BIN Number of binary (0-1) variables. MSK IINF ANA PRO NUM VAR CONT Number of continuous variables. MSK IINF ANA PRO NUM VAR EQ Number of fixed variables. MSK IINF ANA PRO NUM VAR FR Number of free variables. MSK IINF ANA PRO NUM VAR INT Number of general integer variables. MSK IINF ANA PRO NUM VAR LO Number of variables with a lower bound and an infinite upper bound. MSK IINF ANA PRO NUM VAR RA Number of variables with finite lower and upper bounds. MSK IINF ANA PRO NUM VAR UP Number of variables with an upper bound and an infinite lower bound. This value is set by MSK IINF CONCURRENT FASTEST OPTIMIZER The type of the optimizer that finished first in a concurrent optimization. MSK IINF INTPNT FACTOR DIM DENSE Dimension of the dense sub system in factorization. MSK IINF INTPNT ITER Number of interior-point iterations since invoking the interior-point optimizer. MSK IINF INTPNT NUM THREADS Number of threads that the interior-point optimizer is using. MSK IINF INTPNT SOLVE DUAL Non-zero if the interior-point optimizer is solving the dual problem. MSK IINF MIO CONSTRUCT NUM ROUNDINGS Number of values in the integer solution that is rounded to an integer value.
11.13. INTEGER INFORMATION ITEMS. 251 MSK IINF MIO CONSTRUCT SOLUTION If this item has the value 0, then MOSEK did not try to construct an initial integer feasible solution. If the item has a positive value, then MOSEK successfully constructed an initial integer feasible solution. MSK IINF MIO INITIAL SOLUTION Is non-zero if an initial integer solution is specified. MSK IINF MIO NUM ACTIVE NODES Number of active brabch bound nodes. MSK IINF MIO NUM BASIS CUTS Number of basis cuts. MSK IINF MIO NUM BRANCH Number of branches performed during the optimization. MSK IINF MIO NUM CARDGUB CUTS Number of cardgub cuts. MSK IINF MIO NUM CLIQUE CUTS Number of clique cuts. MSK IINF MIO NUM COEF REDC CUTS Number of coef. redc. cuts. MSK IINF MIO NUM CONTRA CUTS Number of contra cuts. MSK IINF MIO NUM DISAGG CUTS Number of diasagg cuts. MSK IINF MIO NUM FLOW COVER CUTS Number of flow cover cuts. MSK IINF MIO NUM GCD CUTS Number of gcd cuts. MSK IINF MIO NUM GOMORY CUTS Number of Gomory cuts. MSK IINF MIO NUM GUB COVER CUTS Number of GUB cover cuts. MSK IINF MIO NUM INT SOLUTIONS Number of integer feasible solutions that has been found.
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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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9.3. MSKSPARAME: STRING PARAMETER T
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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 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: 11.11. FEASIBILITY REPAIR TYPES 249
Page 269 and 270: 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
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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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