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Practical numerical C programmingfin...

Joyce, Philip.

Practical numerical C programmingfinance, engineering, and physics applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Practical numerical C programmingby Philip Joyce.
Reminder of title:	finance, engineering, and physics applications /
Author:	Joyce, Philip.
Published:	Berkeley, CA :Apress :2020.
Description:	xiii, 277 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	C (Computer program language)
Online resource:	https://doi.org/10.1007/978-1-4842-6128-6
ISBN:	9781484261286$q(electronic bk.)

Practical numerical C programmingfinance, engineering, and physics applications /
Joyce, Philip.

Practical numerical C programmingfinance, engineering, and physics applications /[electronic resource] :by Philip Joyce. - Berkeley, CA :Apress :2020. - xiii, 277 p. :ill., digital ;24 cm.

PART 1 - INTRODUCTION -- 1. Review of C -- PART 2 - FINANCIAL APPLICATIONS -- 2. Regression -- 3. Product Moment Correlation Coefficient (PMCC) -- 4. Asset Pricing -- PART 3 - ENGINEERING/INDUSTRIAL/COMMERCIAL APPLICATIONS -- 5. Supermarket Stock Reordering Simulation -- 6. Flight Information Boards at Airports -- 7. Power Plant Control -- PART 4 - PHYSICS APPLICATIONS -- 8. Potential Energy and Kinetic Energy Simulation -- 9. Pendulum Simulation -- 10. Centre of Mass Calculation -- 11. Brownian Motion -- 12. Vacancy Model of Atoms Moving in Solids -- Appendix A. Answers to exercises.

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. You will: 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.

ISBN: 9781484261286$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-6128-6doiSubjects--Topical Terms:

181957
C (Computer program language)

LC Class. No.: QA76.73.C15

Dewey Class. No.: 005.133

Practical numerical C programmingfinance, engineering, and physics applications /
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505 0 $a PART 1 - INTRODUCTION -- 1. Review of C -- PART 2 - FINANCIAL APPLICATIONS -- 2. Regression -- 3. Product Moment Correlation Coefficient (PMCC) -- 4. Asset Pricing -- PART 3 - ENGINEERING/INDUSTRIAL/COMMERCIAL APPLICATIONS -- 5. Supermarket Stock Reordering Simulation -- 6. Flight Information Boards at Airports -- 7. Power Plant Control -- PART 4 - PHYSICS APPLICATIONS -- 8. Potential Energy and Kinetic Energy Simulation -- 9. Pendulum Simulation -- 10. Centre of Mass Calculation -- 11. Brownian Motion -- 12. Vacancy Model of Atoms Moving in Solids -- Appendix A. Answers to exercises.
520 $a 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. You will: 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.
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