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Analysis for Computer Scientists

Foundations, Methods, and Algorithms

Produktform: E-Buch Text Elektronisches Buch in proprietärem

Topics and features: describes the fundamental concepts in analysis, covering real and complex numbers, trigonometry, sequences and series, functions, derivatives, integrals, and curves; discusses important applications and advanced topics, such as fractals and L-systems, numerical integration, linear regression, and differential equations; presents tools from vector and matrix algebra 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 text; supplies programming examples in Python, in addition to MATLAB (NEW); provides supplementary resources at an associated website, including Java applets, code source files, and links to interactive online learning material. weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-319-91155-7 / 978-3319911557 / 9783319911557

Verlag: Springer International Publishing

Erscheinungsdatum: 24.10.2018

Seiten: 378

Auflage: 2

Autor(en): Alexander Ostermann, Michael Oberguggenberger

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