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Introduction to scientific programming and simulation using R /

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1201469

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20180301102241.0

008		180228s2014 flua 001 0 eng
020		\|a9781466569997\|q(hbk.) :
020		\|a1466569999\|q(hbk.)
040		\|aUKM\|beng\|cAS\|dPVY
050	4	\|aQ183.9\|bJ66\|y2014
082	00	\|a502.855133\|223
095		\|d502.855133\|eJ722\|pBOOK\|y2014
100	1	\|aJones, Owen\|q(Owen Dafydd)
245	10	\|aIntroduction to scientific programming and simulation using R /\|cOwen Jones, Robert Maillardet and Andrew Robinson.
250		\|a2nd ed.
260		\|aBoca Raton, FL :\|bCRC Press, Taylor & Francis Group,\|cc2014.
300		\|axxiv, 582 p. :\|bill. ;\|c25 cm.
500		\|aA Chapman & Hall Book.
504		\|aIncludes bibliographical references (p. ix-x) and index.
650	0	\|aR (Computer program language)
650	0	\|aScience\|xData processing.
650	0	\|aScience\|xComputer simulation.
650	0	\|aStochastic processes\|xMathematical models.
700	1	\|aMaillardet, Robert.
700	1	\|aRobinson, Andrew\|q(Andrew P.)
910		\|a20180301

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The textbook introduces both scientific programming and stochastic modeling to undergraduate or graduate students of science, engineering, or commerce. Students are assumed to have taken or be taking a first-year university calculus course; no prior knowledge of programming or probability is assumed. The software package spuRs complements the book, and instructions for installing it are included. Among the topics are R as a calculating environment, numerical accuracy and program efficiency, systems of ordinary differential equations, discrete random variables, and variance reduction. Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)

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Introduction to scientific programming and simulation using R /

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