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Using R for numerical analysis in science and engineering /

Detalles Bibliográficos
Autor principal: Bloomfield, Victor A. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Place of publication not identified] : Chapman and Hall/CRC, 2018.
Colección:Chapman & Hall/CRC the R series
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Using R for numerical analysis in science and engineering /  |c Victor A. Bloomfield. 
264 1 |a [Place of publication not identified] :  |b Chapman and Hall/CRC,  |c 2018. 
300 |a 1 online resource (359 pages :  |b 133 illustrations 
336 |a text  |b txt  |2 rdacontent 
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490 0 |a Chapman & Hall/CRC the R series 
500 |a <P><STRONG>Introduction <BR></STRONG>Obtaining and Installing R <BR>Learning R <BR>Learning Numerical Methods <BR>Finding Help <BR>Augmenting R with Packages <BR>Learning More about R <BR><B>Calculating</B> <BR>Basic Operators and Functions <BR>Complex Numbers <BR>Numerical Display, Round-Off Error, and Rounding <BR>Assigning Variables <BR>Relational Operators <BR>Vectors <BR>Matrices <BR>Time and Date Calculations <BR><B>Graphing</B> <BR>Scatter Plots <BR>Function Plots <BR>Other Common Plots <BR>Customizing Plots <BR>Error Bars <BR>Superimposing Vectors in a Plot <BR>Modifying Axes <BR>Adding Text and Math Expressions <BR>Placing Several Plots in a Figure <BR>Two- and Three-Dimensional Plots <BR>The Plotrix Package <BR>Animation <BR>Additional Plotting Packages <BR><B>Programming and Functions</B> <BR>Conditional Execution: If and If Else <BR>Loops <BR>User-Defined Functions <BR>Debugging <BR>Built-in Mathematical Functions <BR>Special Functions of Mathematical Physics <BR>Polynomial Functions in Packages <BR>Case Studies <BR><B>Solving Systems Of Algebraic Equations</B> <BR>Finding the Zeroes of a Polynomial <BR>Finding the Zeroes of a Function <BR>Systems of Linear Equations: Matrix Solve <BR>Matrix Inverse <BR>Singular Matrix <BR>Overdetermined Systems and Generalized Inverse <BR>Sparse Matrices <BR>Matrix Decomposition <BR>Systems of Nonlinear Equations <BR>Case Studies <BR><B>Numerical Differentiation and Integration</B> <BR>Numerical Differentiation <BR>Numerical Integration <BR>Symbolic Manipulations in R <BR>Case Studies <BR><B>Optimization</B> <BR>One-Dimensional Optimization <BR>Multi-Dimensional Optimization with Optim() <BR>Other Optimization Packages <BR>Optimization with Constraints <BR>Global Optimization with Many Local Minima <BR>Linear and Quadratic Programming <BR>Mixed-Integer Linear Programming <BR>Case Study <BR><B>Ordinary Differential Equations <BR></B>Euler Method <BR>Improved Euler Method <BR>deSolve Package <BR>Matrix Exponential Solution for Sets of Linear ODEs<BR>Events and Roots <BR>Difference Equations <BR>Delay Differential Equations <BR>Differential Algebraic Equations <BR>rootSolve for Steady State Solutions of Systems of ODEs<BR>bvpSolve Package for Boundary Value ODE Problems <BR>Stochastic Differential Equations: Gillespiessa Package <BR>Case Studies <BR><B>Partial Differential Equations <BR></B>Diffusion Equation <BR>Wave Equation <BR>Laplace's Equation <BR>Solving PDEs with the Reactran Package <BR>Examples with the Reactran Package <BR>Case Studies <BR><B>Analyzing Data <BR></B>Getting Data into R <BR>Data Frames <BR>Summary Statistics for a Single Data Set <BR>Statistical Comparison of Two Samples <BR>Chi-Squared Test for Goodness of Fit <BR>Correlation <BR>Principal Component Analysis <BR>Cluster Analysis <BR>Case Studies <BR><B>Fitting Models To Data</B> <BR>Fitting Data with Linear Models <BR>Fitting Data with Nonlinear Models <BR>Inverse Modeling of ODEs with the FME Package <BR>Improving the Convergence of Series: Padé and Shanks <BR>Interpolation <BR>Time Series, Spectrum Analysis, and Signal Processing <BR>Case Studies </P> 
505 0 |a Introduction; Obtaining and Installing R; Learning R; Learning Numerical Methods; Finding Help; Augmenting R with Packages; Learning More about R; Calculating ; Basic Operators and Functions; Complex Numbers; Numerical Display, Round-Off Error, 
505 0 |a And Rounding; Assigning Variables; Relational Operators; Vectors; Matrices; Time and Date Calculations; Graphing ; Scatter Plots; Function Plots; Other Common Plots; Customizing Plots; Error Bars; Superimposing Vectors in a Plot; Modifying Axes; Adding Text and Math Expressions; Placing Several Plots in a Figure; Two- and Three-Dimensional Plots; The Plotrix Package; Animation; Additional Plotting Packages; Programming and Functions ; Conditional Execution: If and If Else; Loops; User-Defined Functions; Debugging; Built-in Mathematical Functions; Special Functions of Mathematical Physics; Polynomial Functions in Packages; Case Studies; Solving Systems Of Algebraic Equations ; Finding the Zeroes of a Polynomial; Finding the Zeroes of a Function; Systems of Linear Equations: Matrix Solve; Matrix Inverse; Singular Matrix; Overdetermined Systems and Generalized 
505 0 |a Inverse; Sparse Matrices; Matrix Decomposition; Systems of Nonlinear Equations; Case Studies; Numerical Differentiation and Integration ; Numerical Differentiation; Numerical Integration; Symbolic Manipulations in R; Case Studies; Optimization ; One-Dimensional Optimization; Multi-Dimensional Optimization with Optim(); Other Optimization Packages; Optimization with Constraints; Global Optimization with Many Local Minima; Linear and Quadratic Programming; Mixed-Integer Linear Programming; Case Study; Ordinary Differential Equations; Euler Method; Improved Euler Method; deSolve Package; Matrix Exponential Solution for Sets of Linear ODEs; Events and Roots; Difference Equations; Delay Differential Equations; Differential Algebraic Equations; rootSolve for Steady State Solutions of Systems of ODEs; bvpSolve Package for Boundary Value ODE Problems; Stochastic Differential Equations: 
505 0 |a Gillespiessa Package; Case Studies; Partial Differential Equations; Diffusion Equation; Wave Equation; Laplace's Equation; Solving PDEs with the Reactran Package; Examples with the Reactran Package; Case Studies; Analyzing Data; Getting Data into R; Data Frames; Summary Statistics for a Single Data Set; Statistical Comparison of Two Samples; Chi-Squared Test for Goodness of Fit; Correlation; Principal Component Analysis; Cluster Analysis; Case Studies; Fitting Models To Data ; Fitting Data with Linear Models; Fitting Data with Nonlinear Models; Inverse Modeling of ODEs with the FME Package; Improving the Convergence of Series: Padé and Shanks; Interpolation; Time Series, Spectrum Analysis, and Signal Processing; Case Studies 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
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650 0 |a Engineering  |x Data processing. 
650 0 |a Numerical analysis. 
650 0 |a R (Computer program language) 
650 6 |a Sciences  |x Informatique. 
650 6 |a Ingénierie  |x Informatique. 
650 6 |a Analyse numérique. 
650 6 |a R (Langage de programmation) 
650 7 |a Engineering  |x Data processing.  |2 fast  |0 (OCoLC)fst00910334 
650 7 |a Numerical analysis.  |2 fast  |0 (OCoLC)fst01041273 
650 7 |a R (Computer program language)  |2 fast  |0 (OCoLC)fst01086207 
650 7 |a Science  |x Data processing.  |2 fast  |0 (OCoLC)fst01108207 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781439884485/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
994 |a 92  |b IZTAP