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Books Results
Source: The Open Library
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1La programmation linéaire dans les modèles de production
By Jean-Marc Boussard

“La programmation linéaire dans les modèles de production” Metadata:
- Title: ➤ La programmation linéaire dans les modèles de production
- Author: Jean-Marc Boussard
- Language: fre
- Number of Pages: Median: 127
- Publisher: Masson
- Publish Date: 1988
- Publish Location: Paris
“La programmation linéaire dans les modèles de production” Subjects and Themes:
- Subjects: ➤ Fonctions de production (Théorie économique) - Modèles mathématiques - Production - Programmation linéaire - Linear programming - Production functions (Economic theory) - Agrégation - Linéarisation - Modèle non linéaire - Modèle dynamique - Modèle statique - Algorithme - Modélisation - Programmation non linéaire - Algorithme simplexe - Modèle mathématique - Agronomie
Edition Identifiers:
- The Open Library ID: OL20093848M
- All ISBNs: 2225813116 - 9782225813115
Access and General Info:
- First Year Published: 1988
- Is Full Text Available: Yes
- Is The Book Public: No
- Access Status: Borrowable
Online Access
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Linearization
In mathematics, linearization (British English: linearisation) is finding the linear approximation to a function at a given point. The linear approximation
Hartman–Grobman theorem
in the study of dynamical systems, the Hartman–Grobman theorem or linearisation theorem is a theorem about the local behaviour of dynamical systems
Theremin
frequency of the antenna circuit. At that frequency, the antenna and its linearisation coil present an inductive impedance; and when connected, behaves as
Poisson manifold
notable sufficient condition for linearisability is provided by Conn's linearisation theorem: Let ( M , π ) {\displaystyle (M,\pi )} be a Poisson manifold
XSL (disambiguation)
presentation XSL Formatting Objects The XSL attack (eXtended Sparse Linearisation attack), a method for breaking ciphers The Xtreme Soccer League, a professional
Enzyme kinetics
estimate KM and Vmax accurately. Therefore, several researchers developed linearisations of the Michaelis–Menten equation, such as the Lineweaver–Burk plot,
Compartmental models (epidemiology)
changes in state among infected individuals. Epidemiologically, the linearisation reflects that R 0 {\displaystyle R_{0}} characterizes the potential
Michaelis–Menten kinetics
nonlinear regression became available, graphical methods involving linearisation of the equation were used. A number of these were proposed, including
Optical flow
constancy constraint simplifies the optimisation problem significantly, the linearisation is only valid for small displacements and/or smooth images. To avoid
Overlapping markup
provides different linearisations, including an XML format (RDF/XML) that can be modeled to mirror standoff XML, a linearisation that lets RDF be expressed