The MOSEK command line tool Version 7.0 (Revision 141)

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58 CHAPTER 7. THE ANALYZERS [11, 100) 150 [100, 500] 271 ------------------------------------------------------------------------------- Constraint matrix A has 479 rows (constraints) 842 columns (variables) 2091 (0.518449%) nonzero entries (coefficients) Row nonzeros, A i range: min A i: 2 (0.23753%) max A i: 34 (4.038%) distrib: A i rows rows% acc% 2 421 87.89 87.89 [8, 15] 20 4.18 92.07 [16, 31] 30 6.26 98.33 [32, 34] 8 1.67 100.00 Column nonzeros, A|j range: min A|j: 2 (0.417537%) max A|j: 3 (0.626305%) distrib: A|j cols cols% acc% 2 435 51.66 51.66 3 407 48.34 100.00 A nonzeros, A(ij) range: min |A(ij)|: 1.00000 max |A(ij)|: 100.000 distrib: A(ij) coeffs [1, 10) 1670 [10, 100] 421 ------------------------------------------------------------------------------- Constraint bounds, lb
7.1. THE PROBLEM ANALYZER 59 Constraints Bounds upper bd: The number of upper bounded constraints, ∑ n−1 j=0 a ijx j ≤ u c i lower bd: The number of lower bounded constraints, l c i ≤ ∑ n−1 j=0 a ijx j ranged : fixed : free : The number of ranged constraints, l c i ≤ ∑ n−1 j=0 a ijx j ≤ u c i The number of fixed constraints, l c i = ∑ n−1 j=0 a ijx j = u c i The number of free constraints upper bd: The number of upper bounded variables, x j ≤ u x j lower bd: The number of lower bounded variables, l x k ≤ x j ranged : fixed : free : Variables cont: bin : int : The number of ranged variables, l x k ≤ x j ≤ u x j The number of fixed variables, l x k = x j = u x j The number of free variables The number of continuous variables, x j ∈ R The number of binary variables, x j ∈ {0, 1} The number of general integer variables, x j ∈ Z Only constraints, bounds and domains actually in the model will be reported on, cf. appendix 18; if all entities in a section turn out to be of the same kind, the number will be replaced by all for brevity.
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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
Page 23 and 24: 1.4. OPTIMIZATION TOOLBOX FOR MATLA
Page 25 and 26: Chapter 2 What is MOSEK MOSEK is a
Page 27 and 28: Chapter 3 MOSEK and AMPL AMPL is a
Page 29 and 30: 3.6. CONSTRAINT AND VARIABLE NAMES
Page 31 and 32: 3.8. HOT-START 15 Linear dependency
Page 33 and 34: 3.10. SENSITIVITY ANALYSIS 17 • .
Page 35 and 36: Chapter 4 Problem formulation and s
Page 37 and 38: 4.1. LINEAR OPTIMIZATION 21 be a pr
Page 39 and 40: 4.2. CONIC QUADRATIC OPTIMIZATION 2
Page 41 and 42: 4.2. CONIC QUADRATIC OPTIMIZATION 2
Page 43 and 44: 4.3. SEMIDEFINITE OPTIMIZATION 27 4
Page 45 and 46: 4.5. GENERAL CONVEX OPTIMIZATION 29
Page 47 and 48: 4.5. GENERAL CONVEX OPTIMIZATION 31
Page 49 and 50: Chapter 5 The optimizers for contin
Page 51 and 52: 5.1. HOW AN OPTIMIZER WORKS 35 5.1.
Page 53 and 54: 5.2. LINEAR OPTIMIZATION 37 5.2.2 T
Page 55 and 56: 5.2. LINEAR OPTIMIZATION 39 Wheneve
Page 57 and 58: 5.2. LINEAR OPTIMIZATION 41 5.2.2.3
Page 59 and 60: 5.2. LINEAR OPTIMIZATION 43 • Rai
Page 61 and 62: 5.5. NONLINEAR CONVEX OPTIMIZATION
Page 63 and 64: 5.6. SOLVING PROBLEMS IN PARALLEL 4
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: Chapter 7 The analyzers 7.1 The pro
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
Page 91 and 92: 8.5. SENSITIVITY ANALYSIS WITH THE
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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
Page 103 and 104: 87 • MSK DPAR INTPNT NL MERIT BAL
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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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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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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The MOSEK command line tool Version 7.0 (Revision 141)

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