An overview of MOSEK Erling D. Andersen MOSEK ApS Fruebjergvej 3, - - PowerPoint PPT Presentation

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May 28, 2023 105 likes •368 views

An overview of MOSEK Erling D. Andersen MOSEK ApS Fruebjergvej 3, Symbion Science park, Box 16 2100 Copenhagen O Denmark Email: sales@mosek.com WWW: http://www.mosek.com http://www.mosek.com October 5, 2013 Introduction 2 / 25 Overview

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http://www.mosek.com

An overview of MOSEK

Erling D. Andersen MOSEK ApS Fruebjergvej 3, Symbion Science park, Box 16 2100 Copenhagen O Denmark Email: sales@mosek.com WWW: http://www.mosek.com

October 5, 2013

SLIDE 2

Introduction

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SLIDE 3

Overview

Introduction Overview Background Product overview Customers Product details Getting started Licensing Present and future

f MOSEK

Summary

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1. Background. 2. Product overview. 3. Customers. 4. Product details. 5. Licensing. 6. Getting started. 7. The future. 8. Summary.

SLIDE 4

Background

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SLIDE 5

The company

Introduction Background The company Product overview Customers Product details Getting started Licensing Present and future

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Summary

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MOSEK ApS is a Danish company.

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Vision: Create and sell software for solving linear and convex optimization problems.

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Located in Copenhagen at Symbion Science Park.

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Daily management: Erling D. Andersen.

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Currently 4 full-time, 4 part-time employees and 1 phd student.

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Product overview

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MOSEK optimization tools

Introduction Background Product overview MOSEK

ptimization tools

Customers Product details Getting started Licensing Present and future

f MOSEK

Summary

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Main product: MOSEK optimization tools.

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Solves generic:

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Linear, quadratic, and nonlinear problems. Only convex cases.

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Conic optimization problems. min cT x st. Ax = b, x ∈ K where K is a convex cone (only linear, quadratic, semidefinite).

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Integer optimization problems.

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Same as above but some variables are integer constrained.

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The software is NOT application specific.

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Customers

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SLIDE 9

Types of customers

Introduction Background Product overview Customers Types of customers Product details Getting started Licensing Present and future

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Summary

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Structural design.

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Arch Bridge Analysis.

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Financial industry.

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Portfolio optimization.

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Trading and cash optimization.

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Power industry.

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Forestry.

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Bus crew scheduling.

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Analogue circuit design.

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Bio tech.

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Advertisement.

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+ more.

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Introduction Background Product overview Customers Types of customers Product details Getting started Licensing Present and future

f MOSEK

Summary

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End customer size.

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Small with 1 user.

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Large with users e.g. large banks.

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OEM.

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Integrate MOSEK into a another product.

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Value added resellers. Geographical markets:

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North America.

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Europa (few Danish customers).

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Japan.

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Australia.

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South America.

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Product details

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SLIDE 12

Optimizers

Introduction Background Product overview Customers Product details Optimizers Interfaces Getting started Licensing Present and future

f MOSEK

Summary

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Primal and dual simplex for linear problems.

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Primal network simplex for network flow problems.

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Interior-point for linear, conic and nonlinear problems.

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Two branch and bound and cut optimizers.

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Freely included. Tuned for conic problems.

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Paid addon: Tuned for linear problems.

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Interfaces

Introduction Background Product overview Customers Product details Optimizers Interfaces Getting started Licensing Present and future

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Summary

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Optimizer API

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Matrix orientated.

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C, Java, .NET and Python.

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Fusion

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Object orientated.

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Only linear and conic problems.

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Java, MATLAB, .NET and Python.

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Other

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AMPL

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MATLAB toolbox.

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R package.

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Third party links:

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AIMMS, CVX, GAMS, MPL (soon), Woodstock.

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Coin OSI, Raven Toolbox, Yalmip, ...

SLIDE 14

Getting started

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SLIDE 15

Useful links

Introduction Background Product overview Customers Product details Getting started Useful links Licensing Present and future

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Summary

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Software download:

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http://mosek.com/download/

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Trial license:

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http://mosek.com/resources/trial/

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Documentation:

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http://docs.mosek.com

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Support:

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http://mosek.com/support/

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Social medias:

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http://mosek.com/resources/social-media/

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Licensing

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Floating licenses

Introduction Background Product overview Customers Product details Getting started Licensing Floating licenses Server licenses Group license Academic license Present and future

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Summary

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PTS: Linear and quadratic optimization + integer variables.

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PTON: Nonlinear and conic extension + integer variables.

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PTOM: Mixed-integer optimizer extension.

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One usage at any computer in the network. Token server required.

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Pricing:

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http://mosek.com/sales/pricing/

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Server licenses

Introduction Background Product overview Customers Product details Getting started Licensing Floating licenses Server licenses Group license Academic license Present and future

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Summary

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PTS-NODE: Linear and quadratic optimization + integer variables.

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PTON-NODE: Nonlinear and conic extension + integer variables.

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PTOM-NODE: Mixed-integer optimizer + integer variables.

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No token server.

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Unlimited use on a single prespecified computer.

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Pricing:

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http://mosek.com/sales/pricing/

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Group license

Introduction Background Product overview Customers Product details Getting started Licensing Floating licenses Server licenses Group license Academic license Present and future

f MOSEK

Summary

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A rental license.

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Unlimited use of 1 or more features.

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One organizational unit e.g. one department.

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No license token server.

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Price negotiated every third year.

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Academic license

Introduction Background Product overview Customers Product details Getting started Licensing Floating licenses Server licenses Group license Academic license Present and future

f MOSEK

Summary

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Free for both personal and classroom usage.

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Visit:

◆ http://mosek.com/resources/academic-license/

SLIDE 21

Present and future of MOSEK

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SLIDE 22

Present

Introduction Background Product overview Customers Product details Getting started Licensing Present and future

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Present The future Summary

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MOSEK version 7 released sping 2013.

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Added support semidefinite optimization.

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Added the linear and conic Fusion modeling API.

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Added a new mixed integer optimizer.

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Strong emphasize on linear and conic problems.

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The future

Introduction Background Product overview Customers Product details Getting started Licensing Present and future

f MOSEK

Present The future Summary

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Continued strong emphasize on linear and conic

ptimization + integer variables.

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Emphasize improvements:

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Improve speed and stability.

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Exploit hardware better. E.g. AVX and Intel

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New features:

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Add mixed-integer semidefinite optimization.

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Add nonsymmetric cones (if algorithms deemed good enough).

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Summary

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SLIDE 25

Final comments

Introduction Background Product overview Customers Product details Getting started Licensing Present and future

f MOSEK

Summary Final comments

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Presented MOSEK.

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Slides are available at:

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