Computational Methods for Numerical Analysis with R | Agenda Bookshop Skip to content
A01=II
A01=II Howard
A01=James P Howard
Adams Bashforth Method
Age Group_Uncategorized
Age Group_Uncategorized
Author_II
Author_II Howard
Author_James P Howard
automatic-update
Bilinear Interpolation
Category1=Non-Fiction
Category=PBKS
Category=PBT
Category=UB
COP=United States
Cubic Spline
Data Frame
Delivery_Delivery within 10-20 working days
differential equations
Double Precision
Elementary Row Operations
eq_computing
eq_isMigrated=2
eq_non-fiction
Euler Method
Finite Differences Method
Fourth Order Runge Kutta Method
Global Truncation Error
Golden Section Search
Gradient Descent
integration
interpolation
James P Howard
Language_English
linear algebra
Local Truncation Error
LU Decomposition
Midpoint Method
Midpoint Rule
Newton Raphson Method
Numeric Data Type
optimization
Ordinary Differential Equations
PA=Available
Piecewise Linear Interpolation
Polynomial Interpolation
Price_€50 to €100
PS=Active
Reduced Row Echelon Form
Row Echelon Form
Runge Kutta Methods
Simulated Annealing
softlaunch

Computational Methods for Numerical Analysis with R

English

By (author): II II Howard James P Howard

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.

See more
€104.99
A01=IIA01=II HowardA01=James P HowardAdams Bashforth MethodAge Group_UncategorizedAuthor_IIAuthor_II HowardAuthor_James P Howardautomatic-updateBilinear InterpolationCategory1=Non-FictionCategory=PBKSCategory=PBTCategory=UBCOP=United StatesCubic SplineData FrameDelivery_Delivery within 10-20 working daysdifferential equationsDouble PrecisionElementary Row Operationseq_computingeq_isMigrated=2eq_non-fictionEuler MethodFinite Differences MethodFourth Order Runge Kutta MethodGlobal Truncation ErrorGolden Section SearchGradient DescentintegrationinterpolationJames P HowardLanguage_Englishlinear algebraLocal Truncation ErrorLU DecompositionMidpoint MethodMidpoint RuleNewton Raphson MethodNumeric Data TypeoptimizationOrdinary Differential EquationsPA=AvailablePiecewise Linear InterpolationPolynomial InterpolationPrice_€50 to €100PS=ActiveReduced Row Echelon FormRow Echelon FormRunge Kutta MethodsSimulated Annealingsoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Weight: 521g
  • Dimensions: 156 x 234mm
  • Publication Date: 08 Jun 2017
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Language: English
  • ISBN13: 9781498723633

About IIII HowardJames P Howard

James P Howard, II

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept