حرکت سه‌بعدی: استفاده از OpenGL

This is a third course on three-dimensional rendering of models, building on my previous books, 3D Rendering in Windows and 3D Models in Motion. In this text we will cover spatial manipulation of objects in order to create the appearance of specific articulation. We also cover finer details, including hair or fur. The Windows(R) operating system and OpenGL(R) rendering engine will be our platform, but the same principles apply equally well to other environments. We assume the reader is familiar with C and programming for the Windows(R) operating system and will not dwell on those details. Many references are available on these foundational subjects, including my book, Version Independent Programming. As in that text, we require that all code function properly on any version and configuration of Windows(R). All of the software and associated files described herein is available free online. Chapter 1. Interpolation/Table Look-Up Chapter 2. Lagrange Interpolation Chapter 3. Cubic Splines Chapter 4. Bisection Search Chapter 5. Secant Method Chapter 6. Using the ExcelTM Solver Chapter 7. Using Excel's LINEST Chapter 8. Using qsort() Chapter 9. Insertion Sort Chapter 10. Test for Inside Polygon Chapter 11. Inverse Distance Interpolation Chapter 12. Kriging Chapter 13. Simultaneous Linear Equations Chapter 14. Linear Equations with Linear Constraints Chapter 15. Nonlinear Optimization in One Dimension Chapter 16. Nonlinear Optimization in Multiple Dimensions Chapter 17. Fast Fourier Transform and Beyond Chapter 18. Random Numbers Chapter 19. Predicting a Trend or Storm Chapter 1. Interpolation/Table Look-Up Chapter 2. Lagrange Interpolation Chapter 3. Cubic Splines Chapter 4. Bisection Search Chapter 5. Secant Method Chapter 6. Using the ExcelTM Solver Chapter 7. Using Excel's LINEST Chapter 8. Using qsort() Chapter 9. Insertion Sort Chapter 10. Test for Inside Polygon Chapter 11. Inverse Distance Interpolation Chapter 12. Kriging Chapter 13. Simultaneous Linear Equations Chapter 14. Linear Equations with Linear Constraints Chapter 15. Nonlinear Optimization in One Dimension Chapter 16. Nonlinear Optimization in Multiple Dimensions Chapter 17. Fast Fourier Transform and Beyond Chapter 18. Random Numbers Chapter 19. Predicting a Trend or Storm Chapter 20. Something Else