This applications-oriented book teaches students and engineers how to employ mathematical techniques for simulation and data processing using Mathcad. It is designed as a reference for practicing engineers or for use as a standard university course text, illustrating practical examples from computational science (such as optics, environmental science, chemistry, biology, tomography, economics, etc). The authors describe the most popular classical algorithms and modern techniques with all of the examples computed in Mathcad (on CD-ROM).
Dmitry Kiryanov is a researcher at the Keldysh Institute of Applied Mathematics and head of the multimedia courseware laboratory at the Moscow University. He received his Ph.D. in Physics from Moscow University. Elena Kiryanova is a researcher at the Keldysh Institute of Applied Mathematics with a Masters of Science in cybernetics and mathematics.
PART 1. EXPERIMENT PROCESSING; Chapter 1. Data Processing; Chapter 2. Inverse Problems; PART 2. MODELLING; Chapter 3. Ordinary Differential Equations: Cauchy Problems; Chapter 4. Nonlinear Dynamics; Chapter 5. Boundary-Value Problems; Chapter 6. Partial Differential Equations Appendix A. References Appendix B. CD-ROM. Index.