Sale!

Introduction to Scientific Programming and Simulation Using R 2nd Edition by Owen Jones, Robert Maillardet, Andrew Robinson ISBN 1466569999 9781466569997

Original price was: $50.00.Current price is: $35.00.

Introduction to Scientific Programming and Simulation Using R 2nd Edition Owen Jones Digital Instant Download

Author(s): Owen Jones, Robert Maillardet, Andrew Robinson
ISBN(s): 9781466569997, 1466569999
Edition: 2
File Details: PDF, 8.27 MB
Year: 2014
Language: english
SKU: EB-5066656 Category: Tags: , ,

Introduction to Scientific Programming and Simulation Using R 2nd Edition by Owen Jones, Robert Maillardet, Andrew Robinson – Ebook PDF Instant Download/Delivery: 1466569999, 9781466569997
Full download Introduction to Scientific Programming and Simulation Using R 2nd Edition after payment

Product details:

ISBN 10: 1466569999 
ISBN 13: 9781466569997
Author: Owen Jones, Robert Maillardet, Andrew Robinson

Learn How to Program Stochastic ModelsHighly recommended, the best-selling first edition of Introduction to Scientific Programming and Simulation Using R was lauded as an excellent, easy-to-read introduction with extensive examples and exercises. This second edition continues to introduce scientific programming and stochastic modelling in a clear,

Introduction to Scientific Programming and Simulation Using R 2nd Table of contents:

PART I: Programming
CHAPTER 1: Setting up
CHAPTER 2: R as a calculating environment
CHAPTER 3: Basic programming
CHAPTER 4: I/O: Input and output
CHAPTER 5: Programming with functions
CHAPTER 6: Sophisticated data structures
CHAPTER 7: Better graphics
CHAPTER 8: Pointers to further programming techniques
CHAPTER 9: Numerical accuracy and program efficiency
CHAPTER 10: Root-finding
CHAPTER 11: Numerical integration
CHAPTER 12: Optimisation
CHAPTER 13: Systems of ordinary differential equations
PART III: Probability and statistics
CHAPTER 14: Probability
CHAPTER 15: Random variables
CHAPTER 16: Discrete random variables
CHAPTER 17: Continuous random variables
CHAPTER 18: Parameter estimation
CHAPTER 19: Markov chains
PART IV: Simulation
CHAPTER 20: Simulation
CHAPTER 21: Monte Carlo integration
CHAPTER 22: Variance reduction
CHAPTER 23: Case studies
CHAPTER 24: Student projects

People also search for Introduction to Scientific Programming and Simulation Using R 2nd:

introduction to scientific programming
    
joakim sundnes introduction to scientific programming with python
    
introduction to modern scientific programming and numerical methods
    
astronomical python an introduction to modern scientific programming
    
what is scientific programming

 

Tags: Owen Jones, Robert Maillardet, Andrew Robinson, Scientific