Synopsis
Introduction Convex Optimization Nonlinear Optimization Optimal Control Discrete Optimization Optimization in Biomechanics and Robotics Sensitivity Analysis of deterministic control systems Optimization on Manifolds Approaches to real-world scheduling problems Optimization Methods for Hierarchical and Distributed Model Predictive Control Distributed optimization algorithms Control and identification of linear time varying (LTV) systems Embedded optimisation for control Optimization of Fluid Flows with AD-based Techniques Numerical contributions and applications for Optimization with PDE constraints Optimization in biomedical applications Optimal Control Applications
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