技術文件 / Documentation
您可在此找到9.3.0.BETA版本之更新說明,若需要9.2版本及其他資訊請見下方
MOSEK 9.2版本技術文件及API
- General - Introduction - Installation - Licensing - Release notes - FAQ 
- Fusion API - C++ - Java - .NET - Python 
- Optimizer API - C - Java - .NET - Python 
- Other interfaces - Rmosek (R) - Command line - OptServer 
您是8 版本使用者?
請參閱請API 手冊最後有關介面更改( Interface changes)部分中有關可移植性的訊息。 8.1 版技術文件的超連結於本頁底部。 舊版本的技術文件包含在此版本中。
更多技術文件
- FlexNet License Administration Guide (PDF) – 專為進階客戶設計使用指南(多數使用者可在上方MOSEK使用指南中獲得問題解答。
使用MOSEK建模
- The MOSEK Modeling Cookbook - (HTML)是一本關於圓錐最佳化的數學導向出版物,介紹了有關如何制定最佳化問題的理論、範例以及許多技巧和竅門,也提供PDF(A4/Letter版本)
- Portfolio Optimization with MOSEK - 使用Optimizer 和Fusion API 的投資組合最佳化模型總集。
- Conic Modeling Cheatsheet (PDF).
MOSEK 使用手冊系列說明
請參閱下方如何使用MOSEK建模及解決各種最佳化問題範例的使用手冊。您可在MOSEK GitHub上找到更多範例。
- 主題 - 類型 - 工具 - 關鍵字 
- Introduction to Fusion - Python, Fusion 
- Least squares regression - CQO - Python, Fusion - regression, LSE, regularization, lasso, ridge, Huber penalty 
- Small online example - CQO - Python, Fusion - OptServer, regression, online 
- Linear regression techniques - CQO, POW - Python, Fusion - regression, 2-norm, 1-norm, deadzone, p-norm, Czebyshew 
- Stochastic risk measures - LO, EXP, POW - Python, Fusion - portfolio, risk measures, value-at-risk, VaR, CVaR 
- Risk parity portfolio selection - EXP - Python, Fusion - risk parity, portfolio 
- Unit commitment - MICQO - Python, Fusion - unit commitment, production planning 
- SINR Optimization - GP, EXP - Python, Fusion - geometric program, log-sum-exp, signal-to-noise, interference 
- Filter design - SDO - Python, Fusion - trigonometric polynomials, Czebyshev lowpass filter 
- Binary quadratic problems - QP, SDP - Python, Fusion - SDP relaxation, branch and bound, binary QP 
- Subcarrier and power allocation - MIO, EXP - Python, Fusion - power allocation, data rate, channel allocation, F-SPARC 
- Geometric facility location - MICQO - Python, Fusion - planar coverage, wireless network design 
- Smallest enclosing sphere - CQO - Python, Fusion - geometry, dualization 
- Optimization of cycles on surfaces - LO - Python, Fusion - geometry, topology, triangulation 
- Equilibrium of masses with springs - CQO - Python, Fusion - mechanical equilibrium, potential energy 
- Exact planar cover - MIO - Python - combinatorial, binary variables, certificate 
- Approximating uncertain inequalities - EXP - Python, Fusion - adjustable robust, approximation, safe region 
- Wasserstein barycenter - LO - Fusion, CVXPY, Pyomo - Wasserstein distance, averaging, barycenter 
- Wasserstein barycenter with regularization - EXP - Fusion, CVXPY - Wasserstein distance, entropy, barycenter, regularization 
- Wasserstein barycenter (Julia) - LO - Julia, JuMP - Wasserstein distance, averaging, barycenter 
- Wasserstein barycenter with regularization (Julia) - EXP - Julia, JuMP - Wasserstein distance, entropy, barycenter, regularization 
- Utility based option pricing - CQO, EXP, POW - Python, Fusion - stochastic process, reservation price, portfolio, option pricing, HARA utility 
- Distributionally robust portfolio - LO - Python, Fusion - stochastic optimization, robust optimization, portfolio, Wasserstein metric 
出版品及技術報告
- 主題 - 相關檔案 - 日期 - 更新日期 
- Projection onto the exponential cone: a univariate root-finding problem - 12-jan-2021 
- A computational practicability study of MIQCQP reformulations - 08-dec-2020 - 10-dec-2020 
- A primal-dual interior-point algorithm for nonsymmetric exponential-cone optimization - 27-may-2019 - 10-mar-2021 
- Regression techniques for Portfolio Optimisation using MOSEK - 21-oct-2013 
- On formulating quadratic functions in optimization models - 04-dec-2014 - 02-mar-2016 
- How to use Farkas' lemma to say something important about infeasible linear problems - 12-sep-2011 
- Markowitz portfolio optimization using MOSEK - Data and code - 02-jun-2009 - 14-feb-2012 
- The homogeneous and self-dual model and algorithm for linear optimization - 21-oct-2013 
- MOSEK related publications - 19-aug-2011 
MOSEK 8.1版本技術文件及API
- General - Introduction - Installation - Licensing - Release notes - FAQ 
- Fusion API - C++ - Java - .NET - Python - MATLAB 
- Optimizer API - C - Java - .NET - Python 
- Other interfaces - Rmosek (R) - Command line - OptServer 

