The MOSEK command line tool Version 7.0 (Revision 141)

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98 CHAPTER 9. PARAMETERS Possible Values: Any number between 0.0 and +inf. Default value: 1.0e-8 9.1.15 MSK DPAR FEASREPAIR TOL Corresponding constant: MSK DPAR FEASREPAIR TOL Description: Tolerance for constraint enforcing upper bound on sum of weighted violations in feasibility repair. Possible Values: Any number between 1.0e-16 and 1.0e+16. Default value: 1.0e-10 9.1.16 MSK DPAR INTPNT CO TOL DFEAS Corresponding constant: MSK DPAR INTPNT CO TOL DFEAS Description: Dual feasibility tolerance used by the conic interior-point optimizer. Possible Values: Any number between 0.0 and 1.0. Default value: 1.0e-8 See also: • MSK DPAR INTPNT CO TOL NEAR REL Optimality tolerance for the conic solver.
9.1. MSKDPARAME: DOUBLE PARAMETERS 99 9.1.17 MSK DPAR INTPNT CO TOL INFEAS Corresponding constant: MSK DPAR INTPNT CO TOL INFEAS Description: Controls when the conic interior-point optimizer declares the model primal or dual infeasible. A small number means the optimizer gets more conservative about declaring the model infeasible. Possible Values: Any number between 0.0 and 1.0. Default value: 1.0e-10 9.1.18 MSK DPAR INTPNT CO TOL MU RED Corresponding constant: MSK DPAR INTPNT CO TOL MU RED Description: Relative complementarity gap tolerance feasibility tolerance used by the conic interior-point optimizer. Possible Values: Any number between 0.0 and 1.0. Default value: 1.0e-8 9.1.19 MSK DPAR INTPNT CO TOL NEAR REL Corresponding constant: MSK DPAR INTPNT CO TOL NEAR REL Description: If <strong>MOSEK</strong> cannot compute a solution that has the prescribed accuracy, then it will multiply the termination tolerances with value of this parameter. If the solution then satisfies the termination criteria, then the solution is denoted near optimal, near feasible and so forth. Possible Values: Any number between 1.0 and +inf. Default value: 1000
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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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Page 65 and 66: Chapter 6 The optimizers for mixed-
Page 67 and 68: 6.3. THE MIXED-INTEGER CONIC OPTIMI
Page 69 and 70: 6.5. TERMINATION CRITERION 53 The f
Page 71 and 72: 6.7. UNDERSTANDING SOLUTION QUALITY
Page 73 and 74: Chapter 7 The analyzers 7.1 The pro
Page 75 and 76: 7.1. THE PROBLEM ANALYZER 59 Constr
Page 77 and 78: 7.2. ANALYZING INFEASIBLE PROBLEMS
Page 87 and 88: Chapter 8 Sensitivity analysis 8.1
Page 89 and 90: 8.4. SENSITIVITY ANALYSIS FOR LINEA
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Page 95 and 96: Chapter 9 Parameters Parameters gro
Page 97 and 98: 81 • MSK SPAR ITR SOL FILE NAME.
Page 99 and 100: 83 • MSK DPAR INTPNT NL TOL REL G
Page 101 and 102: 85 • MSK IPAR LOG MIO. Controls t
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Page 105 and 106: 89 • MSK IPAR INFEAS PREFER PRIMA
Page 107 and 108: 91 • MSK IPAR SIM SAVE LU. Contro
Page 109 and 110: 9.1. MSKDPARAME: DOUBLE PARAMETERS
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Page 133 and 134: 9.2. MSKIPARAME: INTEGER PARAMETERS
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9.2. MSKIPARAME: INTEGER PARAMETERS
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9.3. MSKSPARAME: STRING PARAMETER T
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Chapter 10 Response codes Response
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205 MSK RES ERR CON Q NOT PSD The q
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207 MSK RES ERR GLOBAL INV CONIC PR
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209 MSK RES ERR INV MARKJ Invalid v
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211 MSK RES ERR INVALID FORMAT TYPE
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213 MSK RES ERR LICENSE NO SERVER S
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215 MSK RES ERR MIO NO OPTIMIZER No
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217 MSK RES ERR NAME MAX LEN A name
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219 MSK RES ERR NUMCONLIM Maximum n
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221 MSK RES ERR QCON UPPER TRIANGLE
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223 MSK RES ERR SYM MAT INVALID COL
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225 MSK RES ERR USER NLO FUNC The u
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227 MSK RES WRN ANA ALMOST INT BOUN
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229 MSK RES WRN MIO INFEASIBLE FINA
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231 MSK RES WRN WRITE DISCARDED CFI
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Chapter 11 API constants 11.1 Const
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11.5. PROGRESS CALL-BACK CODES 235
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11.6. TYPES OF CONVEXITY CHECKS. 24
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11.10. DOUBLE INFORMATION ITEMS 245
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11.10. DOUBLE INFORMATION ITEMS 247
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11.11. FEASIBILITY REPAIR TYPES 249
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11.13. INTEGER INFORMATION ITEMS. 2
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11.17. LANGUAGE SELECTION CONSTANTS
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11.22. MIXED-INTEGER NODE SELECTION
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11.29. ORDERING STRATEGIES 261 MSK
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11.34. PROBLEM STATUS KEYS 263 MSK
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11.38. SENSITIVITY TYPES 265 MSK SC
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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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