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Nonlinear Optimization

Massachusetts Institute of TechnologyUnited States6.7220J
Free, no sign-up neededSpring 2025English
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This course offers a unified analytical and computational approach to nonlinear optimization problems. Unconstrained optimization methods include gradient, conjugate direction, Newton, sub-gradient, and first-order methods. Constrained optimization methods include feasible directions, projection, interior point methods, and Lagrange multiplier methods.

Description from MIT OpenCourseWare.

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