| E. AMALDI AND M. MATTAVELLI, The MIN PFS problem and piecewise linear model estimation, Discrete Appl. Math. 118 (2002), pp. 115--143. |
....for the exact definitions of these well known problems. Variants of the classical Agmon Motzkin Schoenberg relaxation method for solving linear inequality systems have also been investigated and used, among others, in machine learning as well as image and signal processing applications (see e.g. [2, 3, 6, 24]) The implicit enumeration technique described in [29] for optimizing general functions of a set of linear relations can, in principle, also be applied to the special case of MAX FS. As to more recent work on problems related to MAX FS and IISs let us mention, for instance, Hastad s breakthrough ....
E. AMALDI AND M. MATTAVELLI, The MIN PFS problem and piecewise linear model estimation, Discrete Appl. Math. 118 (2002), pp. 115--143.
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