@incollection{iiasa14043,
          volume = {704},
          series = {Lecture Notes in Mathematics},
       booktitle = {Computing Methods in Applied Sciences and Engineering, 1977, I},
          editor = {R. Glowinski and J.L. Lions and I. Liboria},
         address = {Germany},
           title = {Optimisation non Differentiable: Methodes de Faisceaux},
       publisher = {Springer Berlin Heidelberg},
            year = {2006},
             doi = {10.1007/BFb0063614},
           pages = {53--61},
             url = {https://pure.iiasa.ac.at/id/eprint/14043/},
            isbn = {978-3-540-35411-6},
            issn = {0075-8434},
        abstract = {We define a class of descent methods to minimize a nondifferentiable function. These methods are based on a representation of the objective which combines a quadratic approximation and the usual approximation by a piecewise linear function. Hence, they realize a synthesis between quasi-Newton methods and cutting plane methods. In addition, they have the particularity of requiring no sophisticated line search. They are also presented in ref. [7] (in English).},
          author = {Lemarechal, C.}
}