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Numerical C : applied computational programming with case studies / Philip Joyce

By: Material type: TextTextPublication details: New York Apress 2022Description: 312pISBN:
  • 9781484276570
Subject(s): DDC classification:
  • 005.133 JOY-P
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Item type Current library Collection Shelving location Call number Status Date due Barcode Item holds
Books Books BITS Pilani Hyderabad 003-007 General Stack (For lending) 005.133 JOY-P (Browse shelf(Opens below)) Checked out 03/10/2024 45581
Total holds: 0

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 formulas for computational methods using C with examples and a more extensive, 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, rise vs the run, slip, and more. Later in the book, you'll work on the augmented matrix method for simultaneous equations. You'll also cover the Monte Carlo method model objects that could arise naturally as part of modelling 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 integration method examines the area under a curve, including rendering or ray tracing and the shading in a region. Moreover, 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 of 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,s Use the trapezium method, Monte Carlo method, line of best fit, product-moment correlation coefficient, Simpson's rule, and matrix solution.s, Write code to solve differential equations. Apply one or more of the methods to an application case stud.y Who. This Book Is For Those with existing knowledge of elementary mathematics (school level) and some essential 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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