With this foundation, the authors explore the essential topics of unconstrained optimization problems, linear programming problems and nonlinear constrained optimization. In addition, the book ...

Most optimization algorithms are based on quadratic approximations to nonlinear functions. You should try to avoid the use of funcions that cannot be properly approximated by quadratic functions. Try ...

The Constraint Reasoning and Optimization group, led by Professor Matti Järvisalo, focuses on the development and analysis of state-of-the-art decision, search, and optimization procedures, and their ...

augmented Lagrangian methods, sequential quadratic programming methods, and interior point methods for nonlinear constrained optimization; Convergence properties of algorithms Materials. Textbook: ...

Distributed Constraint Optimisation and Search Algorithms form a vital framework for addressing complex decision‐making and scheduling problems in multi-agent systems.

TAMP is a GPU-accelerated TAMP framework that solves complex robotic planning tasks in seconds by evaluating thousands of ...

The Constraint Reasoning and Optimization Group has summer intern openings for Summer 2025.. Interns will engage in forefront research guided by senior researchers in the group. Topics include ...