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Practical numerical C programming : finance, engineering, and physics applications /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[United States] :
Apress,
2020.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Joyce, Philip |c (Software engineer) | |
| 245 | 1 | 0 | |a Practical numerical C programming : |b finance, engineering, and physics applications / |c Philip Joyce. |
| 260 | |a [United States] : |b Apress, |c 2020. | ||
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 500 | |a Includes index. | ||
| 505 | 0 | |a Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Chapter 1: Review of C -- 1.1 Arithmetic -- 1.2 Switches -- 1.3 Arrays -- 1.4 Strings -- 1.5 Mathematical Functions -- 1.6 User-Written Functions -- 1.7 File Creation -- 1.8 File Read -- 1.9 File Create2 -- 1.10 File Read2 -- 1.11 Common Mathematical and Logical Symbols -- Part I: Finance Applications -- Chapter 2: Regression -- 2.1 Capital Asset Pricing Model -- 2.2 CAPM Illustration -- Chapter 3: PMCC -- 3.1 Theory -- 3.2 Manual Calculation of PMCC -- 3.3 PMCC Program | |
| 505 | 8 | |a 3.4 Comparison of the Two Regression Lines -- 3.5 Manual Calculation of the Two Regression Lines -- 3.6 Program for the Two Regression Lines -- Chapter 4: Stock Price Prediction -- 4.1 Two Parts to Stock Price Changes -- 4.2 Drift Part of Formula -- 4.3 Simple Example with 5 Day's Prices -- 4.4 Random Change Part of Formula -- 4.5 Combining the Two Elements -- Part II: Commercial Applications -- Chapter 5: Supermarket Stock -- 5.1 What We Are Simulating -- 5.2 Updating the File -- Chapter 6: Flight Information -- 6.1 Airport Display Boards -- 6.2 Create Flights File -- 6.3 Update Display Boards | |
| 505 | 8 | |a 6.3.1 Not-Rollup Mechanism -- 6.3.2 Rollup Mechanism -- Chapter 7: Power Plant Control -- 7.1 Simulation -- 7.2 Monitoring Safety Levels -- Part III: Physics Applications -- Chapter 8: Energy Transfer -- 8.1 Potential and Kinetic Energy Simulation -- 8.2 Convert Theory to Code -- Chapter 9: Pendulum Simulation -- 9.1 Pendulum Theory -- 9.2 Euler Method -- 9.3 Euler-Cromer Method -- Chapter 10: Center of Mass -- 10.1 Center of Mass Theory -- 10.2 Circular Plate -- 10.3 Other Shapes -- Chapter 11: Brownian Motion -- 11.1 Brownian Motion Theory -- Chapter 12: Diffusion Lattice Model | |
| 505 | 8 | |a 12.1 Vacancy Lattice Diffusion -- Chapter 13: Chain Reaction -- 13.1 Chain Reaction Theory -- 13.2 Chain Reaction Program -- Appendix: Answers to Problems -- Index | |
| 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. 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. | ||
| 542 | |f © Copyright 2020 Philip Joyce. |g 2020 | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a C (Computer program language) | |
| 650 | 6 | |a C (Langage de programmation) | |
| 650 | 7 | |a Programming & scripting languages: general. |2 bicssc | |
| 650 | 7 | |a Mathematical physics. |2 bicssc | |
| 650 | 7 | |a Finance. |2 bicssc | |
| 650 | 7 | |a Maths for scientists. |2 bicssc | |
| 650 | 7 | |a Computer programming |x software development. |2 bicssc | |
| 650 | 7 | |a Computing & information technology. |2 bicssc | |
| 650 | 7 | |a Computers |x Programming Languages |x General. |2 bisacsh | |
| 650 | 7 | |a Science |x Mathematical Physics. |2 bisacsh | |
| 650 | 7 | |a Business & Economics |x Finance. |2 bisacsh | |
| 650 | 7 | |a Computers |x Computer Science. |2 bisacsh | |
| 650 | 7 | |a Computers |x Programming |x General. |2 bisacsh | |
| 650 | 7 | |a Computers |x General. |2 bisacsh | |
| 650 | 7 | |a C (Computer program language) |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Joyce, Philip (Software engineer). |t Practical numerical C programming. |d [United States] : Apress, 2020 |z 1484261275 |z 9781484261279 |w (OCoLC)1157662974 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781484261286/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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