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Titlebook: Engineering and Scientific Computing with Scilab; Claude Gomez (Coordinating Editor),Carey Bunks,Ser Book 1999 Birkhäuser 1999 Algebra.Int

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The Food Movement, Culture, and Religionn solver (the . function, see Section 8.2), implementing the discrete recursions and the logic for interfacing the discrete and the continuous parts usually require a great deal of programming. These programs are often complex, difficult to debug, and slow.
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https://doi.org/10.1007/978-3-031-12586-7ymbolic solution process. This includes algebraic transformations, derivatives, and integrations before obtaining equations that are to be numerically solved. For instance, for system simulation we often need to compute a Jacobian matrix, and for control problems we often need to compute gradients.
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Putting Shared Technologies to Work,mainly in combinatorics. The graph data structure is also used in computer science for representing data structures and programs. Graphs are preferential tools for modeling complex structures and relations between objects; in particular, they can represent the links between information in a data bas
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https://doi.org/10.1007/978-3-662-47697-0 cooperation with E.D.F.-L.N.H. and is based on the Ph.D. thesis of H. Jreij [38]. Here Scilab is used to support a menu-driven integrated tool named Metal-ido for the analysis and automatic control of hydraulic equipment along a river valley.
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Flavone and flavonol glycosides,s chapter describes the basic elements of the Scilab language. The ensuing sections will describe Scilab constants, data types, and syntax. The chapter finishes with a description of some special data-type-related functions.
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Putting Shared Technologies to Work,for utility networks such as those for electricity, water transportation, and road networks. The types of problems that we find in these domains are simulation (pipe network problem) and optimization (capacity problems, minimum linear cost flow problems, and minimum quadratic cost flow problems).
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Graph and Network Toolbox: Metanetfor utility networks such as those for electricity, water transportation, and road networks. The types of problems that we find in these domains are simulation (pipe network problem) and optimization (capacity problems, minimum linear cost flow problems, and minimum quadratic cost flow problems).
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