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local_optimisation/SOCP/Readme.md

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@@ -9,9 +9,7 @@ SOCP appears in a broad range of applications from engineering, control theory a
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and robust optimization. It has become an important tool for financial optimization due to its powerful nature. Interior point
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methods (IPM) are the most popular approaches to solve SOCP problems due to their theoretical polynomial complexity and practical performance.
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SOCP functionality was released at Mark 27 of the NAG library
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This directory contains demonstrations using NAG's SOCP solver in Python.
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## Portfolio Optimisation using Second Order Cone Programming (SOCP)
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