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James P Howard | II

Computational Methods for Numerical Analysis with R

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€110.99
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Adams Bashforth Method
advanced numerical techniques in R
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Age Group_Uncategorized
algorithm implementation
applied mathematics
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Author_II Howard
Author_James P Howard
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Bilinear Interpolation
Category1=Non-Fiction
Category=PBKS
Category=PBT
Category=UB
COP=United States
Cubic Spline
Data Frame
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differential equations
Double Precision
Elementary Row Operations
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eq_computing
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eq_nobargain
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Euler Method
Finite Differences Method
Fourth Order Runge Kutta Method
Global Truncation Error
Golden Section Search
Gradient Descent
II
integration
interpolation
James P Howard
Language_English
linear algebra
Local Truncation Error
LU Decomposition
matrix computation
Midpoint Method
Midpoint Rule
Newton Raphson Method
Numeric Data Type
numerical modeling
optimization
Ordinary Differential Equations
PA=Available
Piecewise Linear Interpolation
Polynomial Interpolation
Price_€50 to €100
PS=Active
quantitative analysis
Reduced Row Echelon Form
Row Echelon Form
Runge Kutta Methods
scientific computing
Simulated Annealing
softlaunch

Product details

  • ISBN 9781498723633
  • Weight: 500g
  • Dimensions: 156 x 234mm
  • Publication Date: 08 Jun 2017
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Description

Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R code. Every algorithm described is given with a complete function implementation in R, along with examples to demonstrate the function and its use.

Computational Methods for Numerical Analysis with R is intended for those who already know R, but are interested in learning more about how the underlying algorithms work. As such, it is suitable for statisticians, economists, and engineers, and others with a computational and numerical background.

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James P Howard, II