https://abaj.ai/tags/convexity/Recent content in Convexity on Aayush Bajaj's Augmenting InfrastructureHugoen© 2026 Aayush BajajFri, 10 Jul 2026 08:15:43 +1000https://abaj.ai/wiki/ccs/programming/paradigms/quadratic/Fri, 10 Jul 2026 01:43:39 +1000https://abaj.ai/wiki/ccs/programming/paradigms/quadratic/<p>promote the objective of a <a href="https://abaj.ai/wiki/ccs/programming/paradigms/linear/" >linear program</a> from a plane to a bowl and you get quadratic programming: minimise a quadratic function over a polyhedron. it is the smallest step beyond LP, yet it captures a startling share of applied mathematics — support vector machines, portfolio selection, ridge regression, model-predictive control — because &ldquo;squared penalty subject to linear rules&rdquo; is how half the world states its preferences.<span class="margin-note" data-note="the other half states them as expected log-wealth and gets convex programming anyway"> <span class="margin-note-indicator">𐃏</span> </span> </p>