Computational Methods for Numerical Analysis with R by James P Howard Ii
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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Modelling with Ordinary Differential Equations
- An Introduction to Numerical Methods
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A Gentle Introduction to Scientific Computing
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Particle Swarm Optimisation
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A Concise Introduction to Image Processing using C++
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Computational Fluid Dynamics
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Handbook of Sinc Numerical Methods
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Stochastic Navier-Stokes Equations on Spheres and Spherical Shells
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Theoretical and Computational Fluid Mechanics
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Designing Scientific Applications on GPUs
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Numerical Methods and Optimization
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Coupled Systems
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Introduction to Computational Engineering with MATLAB®
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Mathematical Objects in C++
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Classical and Modern Numerical Analysis
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Discrete Dynamical Systems and Chaotic Machines
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Discrete Variational Derivative Method
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Stochastic Methods in Scientific Computing
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Numerical Methods for Unsteady Compressible Flow Problems
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The Sequential Quadratic Hamiltonian Method
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Numerical Techniques for Direct and Large-Eddy Simulations
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Iterative Splitting Methods for Differential Equations
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Numerical Methods for Fractional Calculus
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Decomposition Methods for Differential Equations
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Mathematics at the Meridian
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Defect Correction Methods for Fluid Flows at High Reynolds Numbers
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Entropies and Fractionality
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Introduction to Computational Engineering with MATLAB (R)
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Numerical Methods for Scientists and Engineers
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Parallel Algorithms
"The author says that the book is written for advanced undergraduate or first year graduate student as a collateral text for numerical analysis coursesThe theoretical part of numerical analysis is mostly omitted, the focus is to present a working R code for many basic tasks of numerical computation including linear algebra, interpolation, numerical integration, root finding and optimisation and differential equations. The presentation is very clear and reader friendly."
—Matti Vuorinen (Turku), in Zentralblatt Mathematik, April 2018
| SKU | Unavailable |
| ISBN 13 | 9781498723633 |
| ISBN 10 | 1498723632 |
| Title | Computational Methods for Numerical Analysis with R |
| Author | James P Howard Ii |
| Series | Chapman And Hall Crc Numerical Analysis And Scientific Computing Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | CRC Press LLC |
| Year published | 2017-06-08 |
| Number of pages | 257 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |