Designing polynomials

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Working with polynomials, function values, derivatives, integrals and their properties

YALMIP and Simulink

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Using YALMIP objects and code in Simulink models, easy or fast, your choice.

Nonconvex quadratic programming

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Common question: how can I solve a nonconvex QP using SeDuMi? Weird question, but interesting answer.

Strictly feasible sum-of-squares solutions

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A question on the YALMIP forum essentially boiled down to how can I generate sum-of-squares solutions which really are feasible, i.e. true certificates?

Work-shop material

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Files and exercise material from the YALMIP work-shop at the Swedish control conference 2010

New sum-of-squares example

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Added a sum-of-squares example focusing on pre- and post-processing capabilities.