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This book presents the basics of linear and nonlinear optimization
analysis for both single and multi-objective problems in
hydrosystem engineering. Â The book includes several examples
with various levels of complexity in different fields of water
resources engineering. The examples are solved step by step to
assist the reader and to make it easier to understand the concepts.
In addition, the latest tools and methods are presented to help
students, researchers, engineers and water managers to properly
conceptualize and formulate resource allocation problems, and to
deal with the complexity of constraints in water demand and
available supplies in an appropriate way.
Water engineers require knowledge of stochastic, frequency
concepts, uncertainty analysis, risk assessment, and the processes
that predict unexpected events. This book presents the basics of
stochastic, risk and uncertainty analysis, and random sampling
techniques in conjunction with straightforward examples which are
solved step by step. In addition, appropriate Excel functions are
included as an alternative to solve the examples, and two real case
studies is presented in the last chapters of book.
This book presents the basics of linear and nonlinear
optimization analysis for both single and multi-objective problems
in hydrosystem engineering. The book includes several examples with
various levels of complexity in different fields of water resources
engineering. The examples are solved step by step to assist the
reader and to make it easier to understand the concepts. In
addition, the latest tools and methods are presented to help
students, researchers, engineers and water managers to properly
conceptualize and formulate resource allocation problems, and to
deal with the complexity of constraints in water demand and
available supplies in an appropriate way. "
Water engineers require knowledge of stochastic, frequency
concepts, uncertainty analysis, risk assessment, and the processes
that predict unexpected events.
This book presents the basics of stochastic, risk and
uncertainty analysis, and random sampling techniques in conjunction
with straightforward examples which are solved step by step. In
addition, appropriate Excel functions are included as an
alternative to solve the examples, and two real case studies is
presented in the last chapters of book.
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Lazy Hugo (Paperback)
Sahar Haghgui; Edited by Ehsan Goodarzi; Sajjad Sattari Niya
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R254
Discovery Miles 2 540
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