Luttamguzi et al. [(2005) Integer Programming Methods for Several Optimization Problems in Graph Theory. Proc. Int. Conf. Computers and Their Applications, CATA 2005, New Orleans, LA, USA, March 16–18 ...

This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal ...

The most common learning methods for SVRs are introduced and linear programming-based SVR formulations are explained emphasizing its suitability for large-scale learning. Finally, this paper also ...

The quantum circuit design problem can be modeled using non-linear, non-convex constraints. However, QCOpt reformulates these non-linear constraints using well-known linearization techniques such that ...

The most common learning methods for SVRs are introduced and linear programming-based SVR formulations are explained emphasizing its suitability for large-scale learning. Finally, this paper also ...

F. Polimeno, T. Rehman, H. Neal, C. M. Yates, Integrating the use of Linear and Dynamic Programming Methods for Diary Cow Diet Formulation, The Journal of the ...