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Numerical C: Applied Computational Programming with Case Studies - Tapa blanda

Joyce, Philip

 
9781484250631: Numerical C: Applied Computational Programming with Case Studies
Tapa blanda
ISBN 10: 148425063X ISBN 13: 9781484250631
Editorial: Apress, 2019

Sinopsis

Learn applied numerical computing using the C programming language, starting with a quick primer on the C programming language and its SDK. This book then dives into progressively more complex applied math formula for computational methods using C with examples throughout and a larger, more complete application towards the end.  

Numerical C starts with the quadratic formula for finding solutions to algebraic equations that model things such as price vs. demand or rise vs. run or slip and more. Later in the book, you'll work on the augmented matrix method for simultaneous equations.  

You'll also cover Monte Carlo method model objects that could arise naturally as part of the modeling of a real-life system, such as a complex road network, the transport of neutrons, or the evolution of the stock market. Furthermore, the Monte Carlo method of integration examines the area under a curve including rendering or ray tracing and the shading in a region.  

Furthermore, you'll work with the product moment correlation coefficient: correlation is a technique for investigating the relationship between two quantitative, continuous variables, for example, age and blood pressure. By the end of the book, you'll have a feeling for what computer software could do to help you in your work and apply some of the methods learned directly to your work.  

What You Will Learn
  • Gain software and C programming basics
  • Write software to solve applied, computational mathematics problems 
  • Create programs to solve equations and calculus problems 
  • Use the trapezium method, Monte Carlo method, line of best fit, product moment correlation coefficient, Simpson's rule, and matrix solutions 
  • Write code to solve differential equations 
  • Apply one or more of the methods to an application case study

Who This Book Is For

Those with an existing knowledge of rudimentary mathematics (school level) and some basic programming experience. This is also important to people who may work in mathematics or other areas (for example, life sciences, engineering, or economics) and need to learn C programming.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Philip Joyce has 28 years experience as a software engineer – working on control of steel production, control of oil refineries, communications software (pre-Internet), office products (server software), and computer control of airports. Programming in Assembler, COBOL, Coral66, C, and C++. Mentor to new graduates in the company.  He also has a MSc in computational physics (including augmented matrix techniques and Monte Carlo techniques using Fortran) - Salford University 1996.   Chartered scientist, chartered physicist, member of the Institute of Physics (member of the higher education group).

De la contraportada

Learn applied numerical computing using the C programming language, starting with a quick primer on the C programming language and its SDK. This book then dives into progressively more complex applied math formula for computational methods using C with examples throughout and a larger, more complete application towards the end.  

Numerical C starts with the quadratic formula for finding solutions to algebraic equations that model things such as price vs. demand or rise vs. run or slip and more. Later in the book, you'll work on the augmented matrix method for simultaneous equations.  

You’ll also cover Monte Carlo method model objects that could arise naturally as part of the modeling of a real-life system, such as a complex road network, the transport of neutrons, or the evolution of the stock market. Furthermore, the Monte Carlo method of integration examines the area under a curve including rendering or ray tracing and the shading in a region.  

Furthermore, you'll work with the product moment correlation coefficient: correlation is a technique for investigating the relationship between two quantitative, continuous variables, for example, age and blood pressure. By the end of the book, you'll have a feeling for what computer software could do to help you in your work and apply some of the methods learned directly to your work.  

You will:
  • Gain software and C programming basics
  • Write software to solve applied, computational mathematics problems 
  • Create programs to solve equations and calculus problems 
  • Use the trapezium method, Monte Carlo method, line of best fit, product moment correlation coefficient, Simpson’s rule, and matrix solutions 
  • Write code to solve differential equations 
  • Apply one or more of the methods to an application case study

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Apress
Año de publicación
2019
Idioma
Inglés
ISBN 10 
148425063X
ISBN 13 
9781484250631
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
328
Contacto del fabricante
no disponible
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