The MOSEK command line tool Version 7.0 (Revision 141)
The MOSEK command line tool. Version 7.0 ... - Documentation The MOSEK command line tool. Version 7.0 ... - Documentation
266 CHAPTER 11. API CONSTANTS MSK SIM EXPLOIT DUPVEC FREE The simplex optimizer can choose freely. 11.41 Hot-start type employed by the simplex optimizer MSK SIM HOTSTART NONE The simplex optimizer performs a coldstart. MSK SIM HOTSTART FREE The simplex optimize chooses the hot-start type. MSK SIM HOTSTART STATUS KEYS Only the status keys of the constraints and variables are used to choose the type of hot-start. 11.42 Problem reformulation. MSK SIM REFORMULATION OFF Disallow the simplex optimizer to reformulate the problem. MSK SIM REFORMULATION ON Allow the simplex optimizer to reformulate the problem. MSK SIM REFORMULATION FREE The simplex optimizer can choose freely. MSK SIM REFORMULATION AGGRESSIVE The simplex optimizer should use an aggressive reformulation strategy. 11.43 Simplex selection strategy MSK SIM SELECTION FREE The optimizer chooses the pricing strategy. MSK SIM SELECTION FULL The optimizer uses full pricing. MSK SIM SELECTION ASE The optimizer uses approximate steepest-edge pricing. MSK SIM SELECTION DEVEX The optimizer uses devex steepest-edge pricing (or if it is not available an approximate steep-edge selection).
11.44. SOLUTION ITEMS 267 MSK SIM SELECTION SE The optimizer uses steepest-edge selection (or if it is not available an approximate steep-edge selection). MSK SIM SELECTION PARTIAL The optimizer uses a partial selection approach. The approach is usually beneficial if the number of variables is much larger than the number of constraints. 11.44 Solution items MSK SOL ITEM XC Solution for the constraints. MSK SOL ITEM XX Variable solution. MSK SOL ITEM Y Lagrange multipliers for equations. MSK SOL ITEM SLC Lagrange multipliers for lower bounds on the constraints. MSK SOL ITEM SUC Lagrange multipliers for upper bounds on the constraints. MSK SOL ITEM SLX Lagrange multipliers for lower bounds on the variables. MSK SOL ITEM SUX Lagrange multipliers for upper bounds on the variables. MSK SOL ITEM SNX Lagrange multipliers corresponding to the conic constraints on the variables. 11.45 Solution status keys MSK SOL STA UNKNOWN Status of the solution is unknown. MSK SOL STA OPTIMAL The solution is optimal.
- 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 253 and 254: 11.5. PROGRESS CALL-BACK CODES 237
- Page 255 and 256: 11.5. PROGRESS CALL-BACK CODES 239
- Page 257 and 258: 11.5. PROGRESS CALL-BACK CODES 241
- 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 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: 11.38. SENSITIVITY TYPES 265 MSK SC
- 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
- Page 297 and 298: 13.1. MPS FILE STRUCTURE 281 [vname
- Page 299 and 300: 13.1. MPS FILE STRUCTURE 283 Field
- Page 301 and 302: 13.1. MPS FILE STRUCTURE 285 Next d
- 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
- Page 319 and 320: 15.4. WRITING OPF FILES FROM MOSEK
- Page 321 and 322: 15.5. EXAMPLES 305 [/hints] [variab
- Page 323 and 324: 15.5. EXAMPLES 307 x1 x2 [/integer]
- Page 325 and 326: Chapter 16 The XML (OSiL) format MO
- Page 327 and 328: Chapter 17 The solution file format
- Page 329 and 330: 17.2. THE INTEGER SOLUTION FILE 313
- Page 331 and 332: Chapter 18 Problem analyzer example
266 CHAPTER 11. API CONSTANTS<br />
MSK SIM EXPLOIT DUPVEC FREE<br />
<strong>The</strong> simplex optimizer can choose freely.<br />
11.41 Hot-start type employed by the simplex optimizer<br />
MSK SIM HOTSTART NONE<br />
<strong>The</strong> simplex optimizer performs a coldstart.<br />
MSK SIM HOTSTART FREE<br />
<strong>The</strong> simplex optimize chooses the hot-start type.<br />
MSK SIM HOTSTART STATUS KEYS<br />
Only the status keys of the constraints and variables are used to choose the type of hot-start.<br />
11.42 Problem reformulation.<br />
MSK SIM REFORMULATION OFF<br />
Disallow the simplex optimizer to reformulate the problem.<br />
MSK SIM REFORMULATION ON<br />
Allow the simplex optimizer to reformulate the problem.<br />
MSK SIM REFORMULATION FREE<br />
<strong>The</strong> simplex optimizer can choose freely.<br />
MSK SIM REFORMULATION AGGRESSIVE<br />
<strong>The</strong> simplex optimizer should use an aggressive reformulation strategy.<br />
11.43 Simplex selection strategy<br />
MSK SIM SELECTION FREE<br />
<strong>The</strong> optimizer chooses the pricing strategy.<br />
MSK SIM SELECTION FULL<br />
<strong>The</strong> optimizer uses full pricing.<br />
MSK SIM SELECTION ASE<br />
<strong>The</strong> optimizer uses approximate steepest-edge pricing.<br />
MSK SIM SELECTION DEVEX<br />
<strong>The</strong> optimizer uses devex steepest-edge pricing (or if it is not available an approximate steep-edge<br />
selection).
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