This work belongs to the framework of inverse problems with linear model. The resolution of this type of problem consists in minimizing (possibly under constraints) a function of discrepancy between the measurements and a physical model of the considered phenomenon. We will here extend this study to divergence functions based on forms of entropy developed in the field of Statistical Physics. These various forms of entropy are based on "the deformed algebra" [9] and in particularly on the notion of "Deformed Logarithm" [15][9].

翻译：这项工作属于线性模型逆向问题的框架,解决这类问题的办法包括尽量减少(在限制下可能存在)测量与所考虑现象的物理模型之间的差异。我们在此将扩大这项研究的范围,使之包括基于在统计物理领域开发的对流体形态的不同功能。这些对流体的各种形式基于“变形代数”[9],特别是基于“变形对数”的概念[15][9]。