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Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
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Analysis for Computer Scientists - Foundations, Methods, and Algorithms (Paperback, 2nd ed. 2018)
Loot Price: R1,611
Discovery Miles 16 110
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Analysis for Computer Scientists - Foundations, Methods, and Algorithms (Paperback, 2nd ed. 2018)
Series: Undergraduate Topics in Computer Science
Expected to ship within 10 - 15 working days
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This easy-to-follow textbook/reference presents a concise
introduction to mathematical analysis from an algorithmic point of
view, with a particular focus on applications of analysis and
aspects of mathematical modelling. The text describes the
mathematical theory alongside the basic concepts and methods of
numerical analysis, enriched by computer experiments using MATLAB,
Python, Maple, and Java applets. This fully updated and expanded
new edition also features an even greater number of programming
exercises. 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. Addressing the core needs of computer
science students and researchers, this clearly written textbook is
an essential resource for undergraduate-level courses on numerical
analysis, and an ideal self-study tool for professionals seeking to
enhance their analysis skills.
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