Master the C code appropriate for numerical methods and computational modelling, including syntax, loops, subroutines, and files. Then, this hands-on book dives into financial applications using regression models, product-moment correlation coefficients, and asset pricing. Next, Practical Numerical C Programming covers applications for engineering/business such as supermarket stock reordering simulation, flight information boards at airports, and controlling a power plant. Finally, the book concludes with some physics, including building simulation models for energy and pendulum motion. You'll learn centre-of-mass calculations, Brownian signs, and more. After reading and using this book, you'll come away with pragmatic case studies of actual applications using C code at work. Source code is freely available and includes the latest C20 standard release. What You Will Learn Apply regression techniques to find the pattern for depreciation of the value of cars over the years. Work with the product-moment correlation coefficient technique to illustrate regression techniques' accuracy (or otherwise). Use the past stock values of an asset to predict what its future discounts may be using Monte Carlo methods. Simulate shoppers' buying of supermarket stock and check the remaining stock: if it is too low, print a message to reorder the stock. Create a file of arrivals for an airport and send data to the airport's display boards to show the current situation for the incoming flights. Simulate the patterns of particles moving in gases or solids. This Book Is For Programmers and computational modellers with at least some prior experience with programming in C and general programming.