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