Titlebook: Analysis for Computer Scientists; Foundations, Methods Michael Oberguggenberger,Alexander Ostermann Textbook 2018Latest edition Springer Na

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Differential Equations,ems will be discussed in the next chapter. After presenting the general definition of a differential equation and the geometric significance of its direction field, we start with a detailed discussion of first-order linear equations. As important applications we discuss the modelling of growth and d

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Sequences and Series,sed in a continuous space and time structure. Even though the models are . again in numerical approximations, the continuous model is still helpful as a background, for example for the derivation of error estimates.

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Scalar-Valued Functions of Two Variables,tions of two variables. In the entire chapter . denotes a subset of ., and .denotes a . function of two variables. Details of vector and matrix algebra used in this chapter can be found in Appendices A and B.

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1863-7310 aterial on hyperbolic functions, curves and surfaces in space, second-order differential equations, and the pendulum equation?(NEW); contains experiments, exercises, definitions, and propositions throughout the978-3-319-91154-0978-3-319-91155-7Series ISSN 1863-7310 Series E-ISSN 2197-1781

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Social Media. Alltag, Daten und Gesellschaftsed in a continuous space and time structure. Even though the models are . again in numerical approximations, the continuous model is still helpful as a background, for example for the derivation of error estimates.

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Textbook 2018Latest editiongebra in the appendices, together with further information on continuity; includes added material on hyperbolic functions, curves and surfaces in space, second-order differential equations, and the pendulum equation?(NEW); contains experiments, exercises, definitions, and propositions throughout the

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,Digitalisierte ?ffentlichkeit im Wandel,ational to the real numbers in a natural way. A further section is dedicated to floating point numbers, which are implemented in most programming languages as approximations to the real numbers. In particular, we will discuss optimal rounding and in connection with this the relative machine accuracy.

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