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
4 CONTENTS
Chapter 1 Changes and new features in MOSEK The section presents improvements and new features added to MOSEK in version 7.0. 1.1 Platform support In Table 1.1 the supported platform and compiler used to build MOSEK shown. Although RedHat is explicitly mentioned as the supported Linux distribution then MOSEK will work on most other variants of Linux. However, the license manager tools requires Linux Standard Base 3 or newer is installed. 1.2 General changes • The interior-point optimizer has been extended to semi-definite optimization problems. Hence, MOSEK can optimize over the positive semi-definite cone. • The network detection has been completely redesigned. MOSEK no longer try detect partial networks. The problem must be a pure primal network for the network optimizer to be used. • The parameter iparam.objective sense has been removed. • The parameter iparam.intpnt num threads has been removed. Use the parameter iparam.num threads instead. • MOSEK now automatically exploit multiple CPUs i.e. the parameter iparam.num threads is set to 0 be default. Note the amount memory that MOSEK uses grows with the number of threads employed. 5
- Page 1 and 2: The MOSEK command line tool. Versio
- Page 3 and 4: Contents 1 Changes and new features
- Page 5 and 6: CONTENTS v 6.5 Termination criterio
- Page 7 and 8: CONTENTS vii 9.1.56 MSK DPAR NONCON
- Page 9 and 10: CONTENTS ix 9.2.79 MSK IPAR MIO FEA
- Page 11 and 12: CONTENTS xi 9.2.171 MSK IPAR SOL RE
- Page 13 and 14: CONTENTS xiii 11.29 Ordering strate
- Page 15 and 16: CONTENTS xv 18.2 arki001 . . . . .
- Page 17 and 18: Contact information Phone +45 3917
- Page 19: License agreement Before using the
- 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
4 CONTENTS
Change language