Jean-Philippe Chancelier - Böcker
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4 produkter
4 produkter
540 kr
Skickas inom 10-15 vardagar
The first part concerns Scilab and includes a tutorial covering the language features, the data structures and specialized functions for doing graphics, importing, exporting data and interfacing external routines. Even though the emphasis is placed on modeling and simulation applications, this part provides a global view of Scilab.
537 kr
Skickas inom 10-15 vardagar
The first part concerns Scilab and includes a tutorial covering the language features, the data structures and specialized functions for doing graphics, importing, exporting data and interfacing external routines. Even though the emphasis is placed on modeling and simulation applications, this part provides a global view of Scilab.
Stochastic Multi-Stage Optimization
At the Crossroads between Discrete Time Stochastic Control and Stochastic Programming
Inbunden, Engelska, 2015
1 179 kr
Skickas inom 10-15 vardagar
The focus of the present volume is stochastic optimization of dynamical systems in discrete time where - by concentrating on the role of information regarding optimization problems - it discusses the related discretization issues. There is a growing need to tackle uncertainty in applications of optimization. For example the massive introduction of renewable energies in power systems challenges traditional ways to manage them. This book lays out basic and advanced tools to handle and numerically solve such problems and thereby is building a bridge between Stochastic Programming and Stochastic Control. It is intended for graduates readers and scholars in optimization or stochastic control, as well as engineers with a background in applied mathematics.
Stochastic Multi-Stage Optimization
At the Crossroads between Discrete Time Stochastic Control and Stochastic Programming
Häftad, Engelska, 2016
1 179 kr
Skickas inom 10-15 vardagar
The focus of the present volume is stochastic optimization of dynamical systems in discrete time where - by concentrating on the role of information regarding optimization problems - it discusses the related discretization issues. There is a growing need to tackle uncertainty in applications of optimization. For example the massive introduction of renewable energies in power systems challenges traditional ways to manage them. This book lays out basic and advanced tools to handle and numerically solve such problems and thereby is building a bridge between Stochastic Programming and Stochastic Control. It is intended for graduates readers and scholars in optimization or stochastic control, as well as engineers with a background in applied mathematics.