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Master the C code appropriate for numerical methods and computational modeling, 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 as well as 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. Along the way, you’ll learn center-of-mass calculations, Brownian motion, 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 a period of
years Work with the product moment
correlation coefficient technique to illustrate the accuracy (or
otherwise) of regression techniques Use the past stock values of
an asset to predict what its future values may be using Monte Carlo
methods Simulate the buying of supermarket
stock by shoppers 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
Who This Book Is For
Programmers and computational modelers with at least some prior experience with programming in C as well as programming in general.
