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In computational optimal control problems, mixed finite element methods are not widely used in engineering simulations.
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He is one of the most notable scientists in various advanced fields such as solid mechanics, computational mechanics, optimal structural design, optimization and variational theory, computational algorithms and numerical methods.
In an attempt to address few challenges like computational efforts, optimal solutions and consistency in providing optimal solutions, this paper proposes a new optimization technique named social group optimization (SGO) based on the human behavior of learning and solving complex problems.
Thus, computational tools for optimal shape design and optimal control purposes have been developed.
First, a priori and a posteriori analyses of channel flow data are used to find the optimal computational formulation of the theoretically derived unified RANS LES model and to show that this computational model, which is referred to as linear unified model (LUM), does also have all the properties of an optimal hybrid RANS LES model.
In fact, the structure of microtubules may have evolved toward optimal computational efficiency.
The target is to gain optimal computational efficiency in fluid dynamics simulations involving complex geometries.
Optimal computational efficiency is achieved when the minimum number of particles needed for accurate resolution is used in each cell.
Computational determination of optimal side-chain conformations in protein structures has been a long-standing and challenging problem.
This article has proposed and validated a Lagrangian methodology for modelling coupled physics using near optimal computational efforts.
If we assume, then the computational complexity of optimal selection that achieves can be estimated as, which is the worst-case complexity.
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