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We first apply the new CLS model to solving one-group eigenvalue problems in a simplified 3-D stochastic medium system.
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It's true for the addict, it's true for the addicted society, it's true for our using a criminal justice model to solve a medical problem".
The Stackelberg game-theoretic model to solve the proposed model is utilized.
We introduce a Fused Hidden Markov Model (HMM) Inversion model to solve the mapping problem.
Then the graph coloring is used to establish the model to solve the spectrum allocation problem.
This section first evaluates the efficiency of the MILP model to solve NW-OSS problems.
They use their model to solve a character level text segmentation and labeling task.
For example, Easa (1989) developed an improved tabu search model to solve resource leveling problems.
This section presents a mathematical model to solve the problem described above.
This model utilizes the k ɛ turbulence model to solve the flow equations.
We propose a Mixed Integer Programming (MIP) model to solve this problem to optimality.
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