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The use of multiple calibrations as constraints on the nodes of interest has the advantage of using empirical data to constrain solutions.
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Reachable sets of bang-bang constrained solutions are convex; an application to the calculus of variations yields a density result.
Considering operation around a steady state of a dynamical system, the task of the algorithm consists on finding a set of optimal, but constrained solutions.
Validity of its application is a questionable proposition for small values of α even slightly higher than this lower bound since the theory gives highly constrained solutions for displacements.
We will do this for each spacecraft and use the outcome for an ambiguity constrained solution on the baseline between the spacecraft.
Requirements are intended to constrain the solution space to the solutions that encourage small-problem solutions that work together to satisfy the large-problem (system) solution.
As explained in previous section, it is possible to constrain the solutions of inverse kinematics by adding a scalar criterion.
Larger meteor echo detection rates better constrain the solutions and thereby increase the accuracy of wind estimates.
Based on the Bayesian framework, the MCMC method uses the existing data to constrain the solutions, which not only satisfies the statistical characteristics of the inversion parameters but also integrates the prior information to improve the inversion accuracy.
Basically, this method imposes the second law of thermodynamics by using a mixed-integer linear programming (MILP) approach to constrain flux solutions so that they obey the loop law.
Two strategies can be used to constrain the solutions (mating lists or "phenotypes") [ 7]: Penalising: Broken constraints are diagnosed within the objective function, and the resulting fitness value is penalised.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com