MOSEK Fusion API for Python 10.2.3¶
This manual describes the features of the Fusion API, an object-oriented framework for conic optimization.
- 1 Introduction
- 2 Contact Information
- 3 License Agreement
- 4 Installation
- 5 Design Overview
- 6 Conic Modeling
- 7 Optimization Tutorials
- 7.1 Linear Optimization
- 7.2 Conic Quadratic Optimization
- 7.3 Power Cone Optimization
- 7.4 Conic Exponential Optimization
- 7.5 Geometric Programming
- 7.6 Semidefinite Optimization
- 7.7 Integer Optimization
- 7.8 Disjunctive constraints
- 7.9 Model Parametrization and Reoptimization
- 7.10 Problem Modification and Reoptimization
- 7.11 Parallel optimization
- 7.12 Retrieving infeasibility certificates
- 8 Solver Interaction Tutorials
- 9 Debugging Tutorials
- 10 Technical guidelines
- 11 Case Studies
- 11.1 Portfolio Optimization
- 11.2 Primal Support-Vector Machine (SVM)
- 11.3 2D Total Variation
- 11.4 Multiprocessor Scheduling
- 11.5 Logistic regression
- 11.6 Inner and outer Löwner-John Ellipsoids
- 11.7 SUDOKU
- 11.8 Travelling Salesman Problem (TSP)
- 11.9 Nearest Correlation Matrix Problem
- 11.10 Semidefinite Relaxation of MIQCQO Problems
- 12 Problem Formulation and Solutions
- 13 Optimizers
- 14 Fusion API Reference
- 15 Supported File Formats
- 16 List of examples
- 17 Interface changes
- 18 Bibliography