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- W2202949216 abstract "It is well known that the complexity of optimization problems (in the sense of the difficulty of the solution) usually increases much faster than linearly with the number of variables. This means that it is easier to solve, for example, a sequence of n one-dimensional problems than one n-dimensional problem of optimization. The difference is very great in multi-modal problems. It is usually impossible, or almost impossible, to find the exact solution of multi-modal optimization. It is permissible for the solution of the simplified problem to be not exactly the same as the solution of the original one, if the difference does not exceed the error of the optimization. In the case of the Bayesian approach it is natural to consider the average error of simplification." @default.
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- W2202949216 date "1989-01-01" @default.
- W2202949216 modified "2023-09-23" @default.
- W2202949216 title "The Analysis of Structure and the Simplification of the Optimization Problems" @default.
- W2202949216 doi "https://doi.org/10.1007/978-94-009-0909-0_6" @default.
- W2202949216 hasPublicationYear "1989" @default.
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