Practical Numerical C Programming

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.