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Introduction to Scientific Programming and Simulation Using,

Jones, Owen

9781466569997 - Introduction to Scientific Programming and Simulation Using,
Secondhand

Article description

Learn How to Program Stochastic Models Highly 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, practical, and thorough way. Readers learn programming by experimenting with the provided R code and data. The books four parts teach: * Core knowledge of R and programming concepts * How to think about mathematics from a numerical point of view, including the application of these concepts to root finding, numerical integration, and optimisation * Essentials of probability, random variables, and expectation required to understand simulation * Stochastic modelling and simulation, including random number generation and Monte Carlo integration In a new chapter on systems of ordinary differential equations (ODEs), the authors cover the Euler, midpoint, and fourth-order Runge-Kutta (RK4) schemes for solving systems of first-order ODEs.

Specifications

Author Jones, Owen
ISBN/EAN 9781466569997
Can't be ordered

Article description

Learn How to Program Stochastic Models Highly 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, practical, and thorough way. Readers learn programming by experimenting with the provided R code and data. The books four parts teach: * Core knowledge of R and programming concepts * How to think about mathematics from a numerical point of view, including the application of these concepts to root finding, numerical integration, and optimisation * Essentials of probability, random variables, and expectation required to understand simulation * Stochastic modelling and simulation, including random number generation and Monte Carlo integration In a new chapter on systems of ordinary differential equations (ODEs), the authors cover the Euler, midpoint, and fourth-order Runge-Kutta (RK4) schemes for solving systems of first-order ODEs.

Specifications

Author Jones, Owen
ISBN/EAN 9781466569997