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Therefore, many real world problems can be modeled by stochastic differential equations.
Fractional calculus has also emerged as a powerful modeling tool for many real world problems.
The computation of solutions is important in the study of many real world problems.
They have got wide acceptance for modelling many real world problems.
Therefore it is regarded as an important mathematical tool to better understand many real world problems in applied sciences.
In fact, the tools of fractional calculus have considerably improved the mathematical modeling of many real world problems.
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Many real-world problems can be formulated as optimization problems.
For many real-world problems, environments at the time of planning are only partially-known.
These functions have satisfied the conditions of many real-world problems.
For linear distributions, PCA can be used; however, many real-world problems are nonlinear.
Despite this, naïve Bayes methods have been shown to work well for many real-world problems.
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