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MOSEK Profile
MOSEK

@mosektw

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1K
Following
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Statuses
356

MOSEK is a software package for solving linear, quadratic, and conic optimization problems.

Copenhagen, Denmark
Joined June 2011
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@mosektw
MOSEK
1 year
What is going on inside MOSEK? Check out our latest blogpost to find out! https://t.co/us4SWvQCLp
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@mosektw
MOSEK
1 year
EURO24 is now up and running! Come join us at our booth in the exhibition area!
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@mosektw
MOSEK
2 years
We just released MOSEK 10.2 and we are very proud and happy to introduce Pythonic Fusion! M.constraint(Expr.mul(G, Expr.sub(x.transpose(), y.slice(0, n))),ย Domain.lessThan(c)) is now M.constraint(G @ (x.T - y[:n]) <= c) https://t.co/ldJeSHfXhy
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@mosektw
MOSEK
2 years
A bit of annual Christmas fun with conic quadratic optimization
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@mosektw
MOSEK
2 years
Learn what you can learn from an infeasible solution in our latest blog post! https://t.co/DZId60OwTb
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@mosektw
MOSEK
2 years
Next week Informs annual meeting will take place in Phoenix and MOSEK will of course be there. If you are going to Informs annual meeting and would like to discuss MOSEK, donโ€™t hesitate to reach out to sales@mosek.com. See you in Phoenix!
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@mosektw
MOSEK
2 years
New blog post out about our academic initiative. Granting free MOSEK licenses for education and research.
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@mosektw
MOSEK
2 years
Don't miss our latest blogpost on how to configure your MOSEK+MATLAB+APPLE setup:
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@mosektw
MOSEK
2 years
Check out our latest blogpost about our MIP solver improvements:
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@mosektw
MOSEK
2 years
Check out our latest blogpost about our OptServer and OptServerLight! https://t.co/AlnW0SKLqj
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@mosektw
MOSEK
2 years
All Rustaceans can now enjoy Mosek from a fully supported official API! For the full blogpost see:
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@AMPLopt
AMPL Optimization
2 years
Optimization tip #7! Logical regression can be modeled in AMPL using exponential cones and @mosektw. #streamlit: ๐Ÿ‘‰ https://t.co/8He1uEfGqq #googlecolab: ๐Ÿ‘‰ https://t.co/4usX3TWAri See full example: ๐Ÿ‘‰ https://t.co/sX4WrLFJRA #optimization #orms #DataScience #MachineLearning
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@phschiele1
Philipp Schiele
2 years
The Mosek Cookbook is a great resource for anyone getting started with optimization, and the Portfolio Cookbook is especially nice for anyone working in finance!
@mosektw
MOSEK
2 years
New Portfolio Optimization Cookbook chapters and notebooks in https://t.co/3ha9skSiv7, covering CVaR, EVaR, Gaussian mixture return model, risk budgeting, robust optimization, multiperiod and more.
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@mosektw
MOSEK
2 years
New Portfolio Optimization Cookbook chapters and notebooks in https://t.co/3ha9skSiv7, covering CVaR, EVaR, Gaussian mixture return model, risk budgeting, robust optimization, multiperiod and more.
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@mosektw
MOSEK
2 years
MOSEK 10.1 is available as beta release. See https://t.co/LmisNAoXdk for details. Python 3.11, M1 for Matlab support, official Julia and Rust manuals, among others.
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@mosektw
MOSEK
2 years
Tomorrow Mosek CEO Erling Dalgaard Andersen will talk at SIAMOP23 about improvements done in Mosek's latest release! For more details see: https://t.co/NktfhZOxit #optimization #Mosek #SIAMOP23 #Software
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@mosektw
MOSEK
3 years
New interesting robust optimization tutorial from @AMPLopt using MOSEK.
@AMPLopt
AMPL Optimization
3 years
New optimization tip! AMPL Modeling Series # 6: Robust Linear Programming with Ellipsoidal Uncertainty. See full example: ๐Ÿ‘‰ https://t.co/f4WLGxEzxW Run on Google Colab: ๐Ÿ‘‰ https://t.co/kawo1BZ8K3 #optimization #orms #amplmp #googlecolab #gurobi #mosek
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@mosektw
MOSEK
3 years
AMPL becomes a MOSEK reseller and ships a new interface. https://t.co/9gNKSbrOL7
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@mosektw
MOSEK
3 years
Sales and support will be closed April 6-10 inclusive.
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@mosektw
MOSEK
3 years
AmpliconArchitect ready for latest MOSEK.
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