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In a promising start, he claims that his model – based on a theorem inspired by Thomas Bayes, the 18th-century English mathematician – has more in common with how soldiers and doctors think than with the cognitive habits of TV pundits.
In this paper a new method based on a theorem proved in this paper is described for solving DMREs by a piecewise-linearized approach.
These approaches are based on a theorem proved in this paper which allows to compute the approximate solution at each time step by means of a block-oriented method based on diagonal Padé approximations.
In parallel, the analytical curves are evaluated based on: (a) theorem 3.1 for global MJD, (b) theorems 3.2 and 3.3 for IA, (c) theorems 3.4 and 3.5 for RDMA, (d) theorems 3.1 and 3.6 for CI.
The algorithm proposed in this work is based on a theorem presented by [20], which states that finding the independence number, i.e., the size of the largest independent set, is a fixed-parameter tractable problem in which the complexity parameter k refers to a graph property or parameter known as the clique-width.
The proof is based on a theorem for Markov chains with two time scales [21], [22] which establishes weak convergence to the standard Kingman's coalescent with the appropriate rescaling of time.
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Our approach is based on a selection theorem (Theorem 2.1 below) for multifunctions defined on subsets of product spaces.
They are based on a selection theorem, a Fan-Browder fixed point theorem (particular to Theorem 3.3), and a KKM-type theorem (particular to Theorem 2.7) on G-convex spaces.
Also, Eq. (2) could be reconstructed by convolution of h with a differentiation kernel based on a derivative theorem and a convolution theorem.
In 1999, we deduced the following von Neumann Sion type minimax theorem for -convex spaces based on a continuous selection theorem: Theorem 5.7 (see [17]).
The method used is based on a comparison theorem for sandwich structures.
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