Using methods of constraint-based optimization, we demonstrate how changes in oxygen and substrate supply influence the efficiency of selected metabolic functions of cardiomyocytes and provide valuable suggestions for substrate compositions allowing optimal accomplishment of metabolic functions to provide cellular integrity and maintain cardiac work.
The algorithm uses a ranking method of constraint handling and contact stress has been introduced as a new constraint.
For contact between the cask, steel liner and the lid, tied contact surface-to-surface offset was used to activate penalty method instead of constraint method.
We have previously published the COBRA Toolbox [ 19] for MATLAB to provide systems biology researchers with a high-level interface to a variety of methods for constraint-based modeling of genome-scale stoichiometric models of cellular biochemistry.
Unlike to existing methods, instead of constraints with fuzzy inequalities or fuzzy coefficients or fuzzy numbers, vague nature of constraints set is modeled using learning scheme with adaptive neural-fuzzy inference system (ANFIS).
For this purpose, we generalize well-known methods for constraint propagation, determination of consistency and computation of the minimal network from simpler schemes that only allow for binary relations.
This chapter introduces several correlative ICM methods for the topology optimization of continuum structures, including the solid-void combined element method, the integration of constraints method, the parabolic aggregation function method, and the high-quality approximation of the step function method.
Well suited to these methods are classes of constraint systems that can be used to efficiently model, design and analyze quasi-uniform (aperiodic) and self-similar, layered material structures.
In other words, Schoenberg found himself in a world in which everything seemed possible, found it paralyzing, and worked out a method of complex constraint that permitted him to recapitulate and re-use his musical history in a modern way.
Using real data we illustrated the computational approach and feasibility of this new method of simplex constraint based maximum likelihood estimation as applied to right censored data.
