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The MOSEK optimization toolbox for MATLAB manual Version 7.0 (Revision 141)

MATLAB optimization toolbox manual - Documentation - Mosek

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10 CHAPTER 2. INTRODUCTION<br />

• Solve conic quadratic and semidefinite <strong>optimization</strong> problems.<br />

• Solve convex quadratic <strong>optimization</strong> problems.<br />

• Handle convex quadratic constraints.<br />

• Solve mixed-integer <strong>optimization</strong> problems, including linear, convex quadratic and conic quadratic<br />

problems.<br />

• Solve linear least squares problems with linear constraints.<br />

• Solve linear l 1 and l ∞ norm minimization problems.<br />

• Solve linearly constrained entropy <strong>optimization</strong> problems.<br />

• Solve geometric programming problems (posynomial programming).<br />

• Solve separable convex <strong>optimization</strong> problems.<br />

• Read and write industry standard MPS files.

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