Sentence examples for representation is formulated from inspiring English sources
This representation is formulated in both the Eulerian and Lagrangian descriptions of turbulent dispersion, the former in terms of a partial differential equation (advection diffusion equation) and the latter in terms of an Ito stochastic differential equation.
Similarly, if a mental representation is formulated according to the task alone, the decision maker has to transform the data of the problem presentation into an appropriate form for the task solution.
Recently, Ren et al. have proposed data-driven LBP (DDLBP) for low-level image representation, which is formulated as a point selection problem, that is solved by maximal joint mutual information criterion [39].
The sparse representation problem is formulated as follows: For a testing sample y ∈ R d, find the sparsest vector c = [ c1, c2,…, c n ] T such that (3) y = c 1 x 1 + c 2 x 2 + … + c n x n.
Based on a superstructure representation, the problem is formulated as a Generalized Disjunctive Programming (GDP) model to minimize the total cost of the process subject to design specifications.
Implicit representation in TRAINER is formulated by pairs of if-then rules to decide on particular model(s) to fire depending on the underlying assumptions and the working conditions of the plant.
Based on this superstructure representation the problem is formulated as an optimization problem using generalized disjunctive programming (GDP) to minimize the total cost of the process, subject to design specifications.
The system is described m the descriptor form representation and the problem is formulated by TMIs (Trilinear Matrix Inequalities).
The map representation and building process is formulated, fully implemented and successfully experimented in different indoor environments with different robots.
The selection of dictionary columns from the set of compatible haplotypes and the sparse representation of xor-genotypes is formulated as a joint combinatorial optimization problem.
With the representation procedure, the synthesis problem is formulated as a mixed integer nonlinear programming (MINLP) problem, which can then be solved with an improved simulated annealing algorithm.
