However, the complexity of optimizing the real function with the cosine distance is wisely addressed by converting to a complex optimization problem with the Frobenius norm which is described in the next sections.
Designing high-performance semiconductor devices is a complex optimization problem, which is characterized by multiple and, often, conflicting objectives.
This simultaneous minimization of total trenching length and cable dimensions creates a complex optimization problem that is solved by the harmony search (HS) algorithm.
This enables RNA-Skim to perform transcript quantification on each cluster independently, reducing a complex optimization problem into smaller optimization tasks that can be run in parallel.
Compared with non-cooperative protocols, cooperative protocols often try to optimize the network performance by solving complex optimization algorithms, such as MC-MAC [52], P-MAC [41], and DDMAC [44].
Unfortunately, the efficiency of reasoners is usually obtained by implementing complex optimization techniques.
Optimal scheduling can be obtained by solving a complex combinatorial optimization problem.
In our EnFiLo2 project we were confronted with the situation that several analysts were working on different problems in the domains of energy, finance, and logistics, applying algorithms developed by themselves to complex optimization and simulation problems, each of them using their preferred programming and runtime environment.
A projective matrix is then found through solving an unconstraint complex optimization problem.
