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Организация здравоохранения          Автор Elias G.B.          Издательство Книга по Требованию

Integrated Modeling System for Multi-Objective Watershed Management. Hydrologic Modeling and Utilization of State-of-the Art Evolutionary Computation and Artificial Intelligence Techniques
180 стр. мягкая обложка

автор:Elias G.B.
издательство: Книга по Требованию
цена:2782 руб
- нет в наличии

The research work specifically focuses on maintaining water quality in streams and rivers through evolution of agricultural landscapes. As part of this research effort, automatic calibration tools for the distributed hydrologic model are developed, and sensitivity and uncertainty associated with the hydrologic modeling are investigated. In addition, the use of artificial intelligence techniques is explored to reduce the computational demand of the integrated modeling system. This dissertation presents an integrated modeling system for multi-objective management of life-supporting ecosystem services, which are frequently impaired by a wide variety of natural and anthropogenic activities in watersheds. The development of this integrated modeling system involves coupling of multi-objective evolutionary algorithms with physically-based, distributed hydrologic model.

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Standard Template Library Programmer's Guide

Creates a subtractive_rng initialized using a default value. void initialize(unsigned int seed) Re-initializes the internal state of the subtractive_rng , using the value seed. Notes [1] See section 3.6 of Knuth for an implementation of the subtractive method in FORTRAN. Section 3.2.2 of Knuth analyzes this class of algorithms. (D. E. Knuth, The Art of Computer Programming. Volume 2: Seminumerical Algorithms, second edition. Addison-Wesley, 1981.) [2] Note that the sequence produced by a subtractive_rng is completely deterministic, and that the sequences produced by two different subtractive_rng objects are independent of each other. That is: if R1 is a subtractive_rng, then the values returned when R1 is called depend only on R1's seed and on the number of times that R1 has been called. Calls to other subtractive_rng objects are irrelevant. In implementation terms, this is because the class subtractive_rng contains no static members. See also Random Number Generator Function object adaptors binder1st<AdaptableBinaryFunction> Categories: functors, adaptors Component type: type Description Binder1st is a function object adaptor: it is used to transform an adaptable binary function into an adaptable unary function ...

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