Using R for Numerical Analysis in Science and Engineering

DOI10.1201/B16841zbMath1328.65003OpenAlexW1544388232MaRDI QIDQ2873810

Victor A. Bloomfield

Publication date: 27 January 2014

Full work available at URL: https://doi.org/10.1201/b16841

zbMATH Keywords

R programming languageoptimizationtextbookdata fittingnumerical differentiationintegrationsystems of algebraic equationsgraphicsstatistical computing

Mathematics Subject Classification ID

Theory of programming languages (68N15) Mathematics for nonmathematicians (engineering, social sciences, etc.) (00A06) Numerical approximation and computational geometry (primarily algorithms) (65Dxx) Numerical linear algebra (65Fxx) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to numerical analysis (65-01) Numerical methods for ordinary differential equations (65Lxx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Numerical methods for partial differential equations, boundary value problems (65Nxx) Nonlinear algebraic or transcendental equations (65Hxx) Numerical methods for mathematical programming, optimization and variational techniques (65Kxx)

Uses Software

• R
• deSolve
• CRAN Optimization
• RootSolve
• nloptr
• NLopt
• CRAN Differential Equations
• ReacTran

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