Numerical C

Book Description:

Learn applied numerical computing with the C programming language, beginning with a quick primer about the C programming language along with its own SDK. This book then dives into increasingly more complicated applied mathematics formula for computational methods using C with examples throughout and a bigger, more comprehensive application towards the end.

Numerical C begins with the quadratic formula for finding solutions to algebraic equations that mimic things such as price vs. need or increase vs. run or slip and more. Later in the novel, you’re focusing on the augmented matrix method for simultaneous equations.
You’ll also cover Monte Carlo method model items that could arise naturally within the modeling of a real-life system, such as an intricate road system, the transport of neutrons, or the evolution of the stock exchange. Furthermore, the Monte Carlo method of integration examines the area under a curve including rendering or beam tracing as well as the shading in a region.

Moreover, you’ll work with the product-moment correlation coefficient: correlation is a method for exploring the association between two quantitative, continuous factors, by way of example, age and blood pressure. From the conclusion of the book, you will have a sense of what computer software could do to help you in your work and employ a few of the methods learned right to your job.

Gain C and software programming principles

Who This Book Is For

People that have a present understanding 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 instance, life sciences, engineering, or economics) and will need to learn C programming.

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