2,907,377 research outputs found
Inclusion ideals and inclusion problems: Parsons and Luhmann on religion and secularization
This paper builds upon the theoretical work of Talcott Parsons and Niklas Luhmann and offers a critical reconstruction of their views on religion (Christianity) and secularization in the western world. It discusses the relation between the functional differentiation of modern society, the individualization of inclusion imperatives and the changing expectations regarding inclusion/exclusion in religious communication. From this perspective, it analyzes secularization in terms of perceived problems of inclusion in religious communication, and in terms of the reactions of Christian religions to these perceived problems. It thereby shows how the theories of Parsons and Luhmann are useful for empirical and historical research, and how they open up new perspectives for empirical and historical research
Generalized Forward-Backward Splitting with Penalization for Monotone Inclusion Problems
We introduce a generalized forward-backward splitting method with penalty
term for solving monotone inclusion problems involving the sum of a finite
number of maximally monotone operators and the normal cone to the nonempty set
of zeros of another maximal monotone operator. We show weak ergodic convergence
of the generated sequence of iterates to a solution of the considered monotone
inclusion problem, provided the condition corresponded to the Fitzpatrick
function of the operator describing the set of the normal cone is fulfilled.
Under strong monotonicity of an operator, we show strong convergence of the
iterates. Furthermore, we utilize the proposed method for minimizing a
large-scale hierarchical minimization problem concerning the sum of
differentiable and nondifferentiable convex functions subject to the set of
minima of another differentiable convex function. We illustrate the
functionality of the method through numerical experiments addressing
constrained elastic net and generalized Heron location problems
Inertial Douglas-Rachford splitting for monotone inclusion problems
We propose an inertial Douglas-Rachford splitting algorithm for finding the
set of zeros of the sum of two maximally monotone operators in Hilbert spaces
and investigate its convergence properties. To this end we formulate first the
inertial version of the Krasnosel'ski\u{\i}--Mann algorithm for approximating
the set of fixed points of a nonexpansive operator, for which we also provide
an exhaustive convergence analysis. By using a product space approach we employ
these results to the solving of monotone inclusion problems involving linearly
composed and parallel-sum type operators and provide in this way iterative
schemes where each of the maximally monotone mappings is accessed separately
via its resolvent. We consider also the special instance of solving a
primal-dual pair of nonsmooth convex optimization problems and illustrate the
theoretical results via some numerical experiments in clustering and location
theory.Comment: arXiv admin note: text overlap with arXiv:1402.529
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