Factor graph optimization
Factor graph optimization is a probabilistic inference method that estimates unknown variables by minimizing a cost over a factor graph, dominant in robotics and SLAM.
Inverse optimization
Inverse optimization is a method that infers the objective function, and sometimes constraints, of an optimization model from observed decisions assumed to be optimal, reversing traditional optimization.
Pose graph optimization
Pose graph optimization is a nonlinear least-squares back-end for SLAM that estimates a robot's trajectory from relative-pose constraints, serving as the standard global correction step after loop closure.
Rate–distortion optimization
Rate–distortion optimization (RDO) is an encoder-control technique in video and image coding that picks coding modes by minimizing reconstruction distortion subject to a bit-rate constraint, using the Lagrangian cost J = D + λ·R.
Trajectory optimization
Trajectory optimization is a numerical method that computes the best state and control sequence for a dynamical system, minimizing cost while satisfying dynamics and constraints.