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An improved dynamic programing method is used to solve the optimization model.
However, the selection of constraint equations in the linear programing method is not unique.
Each CR's satisfaction expression is formulated using the mathematical programing method.
Meng et al. (2013b) use a linear programing method to do similar linking work resulting in a balanced ICIO table with a target country's IRIO table embedded.
For example, Meng et al. (2013b) embedded China's domestic inter-regional IO (IRIO) table into the world input output table (WIOT) using a linear programing method.
Hence, in the proposed strategy, tip-point forces in the x-y-z directions are distributed using a standard Quadratic Programing method such that the friction and leg-grope constraints (explained later) are satisfied.
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A well-known approach for shape optimization problems, which is called the discrete approach, describes a domain shape with parameters of finite numbers and finds out an optimum solution of the parameters by utilizing mathematical programing methods.
Furthermore, a linear programing based method is proposed to solve the L1-induced controller synthesis problem for positive systems with interval uncertainties.
This paper investigates optimal coordination tracking control for nonlinear multi-agent systems (NMASs) with unknown internal states by using an adaptive dynamic programing (ADP) method.
Comparison with popular parallel programming methods shows competitive speedups, while providing an easier parallel programing approach.
Dynamic programing is a method to drive an optimal solution to certain types of optimization problems very efficiently.
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