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The system of coupled partial differential equations is solved by recasting the problem to be in terms of the membrane and a monodomain, interpreted as a weighted average of the intra and extracellular domains.
By recasting the problem of redundancy in multiple structural alignments into this framework, in which the matrix A now describes the multiple alignment, we adapted the QR factorization to produce a minimal basis set of protein structures which best spans the evolutionary (phase) space.
Goldhagen has broadened the term genocide to include a wider range of human suffering, recasting the problem as eliminationism.
Still, linear differential equation models have been fit efficiently to expression data by various means, most prominently by recasting the problem into other more convenient forms [ 9, 19, 20].
In [ 16], a global sensitivity analysis of ODEs was proposed based on recasting the problem in terms of a first-order partial differential equation (PDE) that describes the evolution of the associated pdf (this approach is also called 'stochastic sensitivity analysis' [ 5, 6, 16]).
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In particular, we are able to recast the problem as a 0 1 integer linear programming problem.
We recast the problem in the form of semidefinite program and an iterative algorithm based on the bisection method is proposed to achieve the optimal solution.
This allows removing the quadratic term in the QAP to recast the problem as a linear assignment problem (LAP) to relieve the computational burden.
In particular, we recast the problem into a more tractable form and combine bracketing method (e.g., golden ratio search)[30, 31] with ADMM to derive the distributed algorithm for problem P2.
Since the video encoder controls the resource allocation among different frames in a joint fashion, we recast the problem of coding mode selection and bit allocation in terms of strategy selection in a cooperative game.
Based on this duality, we recast the problem of detecting and quantifying geometric singularities into inherently parallel tests against the original geometric representation in the 2-dimensional Euclidean space.
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