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Numerical C: Applied Computational Programming with Case Studies
Paperback
General MathematicsProgramming
Publisher Price: $49.99
ISBN13: 9781484250631
Publisher: Apress
Published: Sep 21 2019
Pages: 312
Weight: 1.26
Height: 0.69 Width: 7.00 Depth: 10.00
Language: English
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.
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