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Solving Problems in Scientific Computing Using Maple and MATLAB®

Modern computing tools like Maple (symbolic computation) and MATLAB (a numeric computation and visualization program) make it possible to easily solve realistic nontrivial problems in scientific computing. In education, traditionally, complicated problems were avoided, since the amount of work for o...

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Bibliographic Details
Main Authors: Gander, Walter, Hrebicek, Jiri (Author)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1995, 1995
Edition:2nd ed. 1995
Subjects:
Compilers (computer Programs)
Complex Systems
Compilers And Interpreters
Numerical Analysis
Algorithms
Control Theory
Systems Theory, Control
System Theory
Algebra
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 6.2 Fitting Lines, Rectangles and Squares in the Plane
  • 6.3 Fitting Hyperplanes
  • References
  • 7. The Generalized Billiard Problem
  • 7.1 Introduction
  • 7.2 The Generalized Reflection Method
  • 7.3 The Shortest Trajectory Method
  • 7.4 Examples
  • 7.5 Conclusions
  • References
  • 8. Mirror Curves
  • 8.1 The Interesting Waste
  • 8.2 The Mirror Curves Created by MAPLE
  • 8.3 The Inverse Problem
  • 8.4 Examples
  • 8.5 Conclusions
  • References
  • 9. Smoothing Filters
  • 9.1 Introduction
  • 9.2 Savitzky-Golay Filter
  • 9.3 Least Squares Filter
  • References
  • 10. The Radar Problem
  • 10.1 Introduction
  • 10.2 Converting Degrees into Radians
  • 10.3 Transformation of Geographical into Geocentric Coordinates
  • 10.4 The Transformations
  • 10.5 Final Algorithm
  • 10.6 Practical Example
  • References
  • 11. Conformai Mapping of a Circle
  • 11.1 Introduction
  • 11.2 Problem Outline
  • 11.3Maple Solution
  • References
  • 12. The Spinning Top
  • 12.1 Introduction
  • 12.2 Formulation and Basic Analysis of the Solution
  • 12.3 The Numerical Solution
  • References
  • 13. The Calibration Problem
  • 13.1 Introduction
  • 13.2 The Physical Model Description
  • 13.3 Approximation by Splitting the Solution
  • 13.4 Conclusions
  • References
  • 14. Heat Flow Problems
  • 14.1 Introduction
  • 14.2 Heat Flow through a Spherical Wall
  • 14.3 Non Stationary Heat Flow through an Agriculture Field
  • References
  • 15. Modeling Penetration Phenomena
  • 15.1 Introduction
  • 15.2 Short description of the penetration theory
  • 15.3 The Tate — Alekseevskii model
  • 15.4 The eroding rod penetration model
  • 15.5 Numerical Example
  • 15.6 Conclusions
  • References
  • 16. Heat Capacity of System of Bose Particles
  • 16.1 Introduction
  • 16.2 Maple Solution
  • References
  • 17. Free Metal Compression
  • 17.1 Introduction
  • 17.2 Disk compression
  • 17.3 Compression of a metal prism
  • 17.4 Conclusions
  • References
  • 18. Gauss Quadrature
  • 18.1 Introduction
  • 1. The Tractrix and Similar Curves
  • 1.1 Introduction
  • 1.2 The Classical Tractrix
  • 1.3 The Child and the Toy
  • 1.4 The Jogger and the Dog
  • 1.5 Showing the Motions with Matlab
  • References
  • 2. Trajectory of a Spinning Tennis Ball
  • 2.1 Introduction
  • 2.2 Maple Solution
  • 2.3 Matlab Solution
  • References
  • 3. The Illumination Problem
  • 3.1 Introduction
  • 3.2 Finding the Minimal Illumination Point on a Road
  • 3.3 Varying h2 to Maximize the Illumination
  • 3.4 Optimal Illumination
  • 3.5 Conclusion
  • References
  • 4. Orbits in the Planar Three-Body Problem
  • 4.1 Introduction
  • 4.2 Equations of Motion in Physical Coordinates
  • 4.3 Global Regularization
  • 4.4 The Pythagorean Three-Body Problem
  • 4.5 Conclusions
  • References
  • 5. The Internal Field in Semiconductors
  • 5.1 Introduction
  • 5.2 Solving a Nonlinear Poisson Equation Using MAPLE
  • 5.3 Matlab Solution
  • References
  • 6. Some Least Squares Problems
  • 6.1 Introduction
  • 18.2 Orthogonal Polynomials
  • 18.3 Quadrature Rule
  • 18.4 Gauss Quadrature Rule
  • 18.5 Gauss-Radau Quadrature Rule
  • 18.6 Gauss-Lobatto Quadrature Rule
  • 18.7 Weights
  • 18.8 Quadrature Error
  • References
  • 19. Symbolic Computation of Explicit Runge-Kutta Formulas
  • 19.1 Introduction
  • 19.2 Derivation of the Equations for the Parameters
  • 19.3 Solving the System of Equations
  • 19.4 The Complete Algorithm
  • 19.5 Conclusions
  • References
  • 20. Transient Response of a Two-Phase Half-Wave Rectifier
  • 20.1 Introduction
  • 20.2 Problem Outline
  • 20.3 Difficulties in Applying Conventional Codes and Software Packages
  • 20.4 Solution by Means of Maple
  • References
  • 21. Circuits in Power Electronics
  • 21.1 Introduction
  • 21.2 Linear Differential Equations with PiecewiseConstant Coefficients
  • 21.3 Periodic Solutions
  • 21.4 A matlab Implementation
  • 21.5 Conclusions
  • References

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