Topics in Engineering Mathematics | Modeling and Methods | ISBN 9789401048002

Topics in Engineering Mathematics

Modeling and Methods

herausgegeben von A.H. van der Burgh und J Simonis
Mitwirkende
Herausgegeben vonA.H. van der Burgh
Herausgegeben vonJ Simonis
Buchcover Topics in Engineering Mathematics  | EAN 9789401048002 | ISBN 94-010-4800-2 | ISBN 978-94-010-4800-2

Topics in Engineering Mathematics

Modeling and Methods

herausgegeben von A.H. van der Burgh und J Simonis
Mitwirkende
Herausgegeben vonA.H. van der Burgh
Herausgegeben vonJ Simonis

Inhaltsverzeichnis

  • A kaleidoscopic excursion into numerical calculations of differential equations.
  • 1. Introduction.
  • 2. Logistic equation.
  • 3. Harmonic oscillator.
  • 4. Wave equations.
  • 5. Epilogue.
  • An introduction to the Finite Element Method.
  • 2. An elementary example.
  • 3. The 2-dimensional Poisson equation.
  • 4. Final remarks.
  • Coupling of sound and structural vibrations.
  • 2. Governing equations and analysis.
  • 3. Numerical results and discussion.
  • Mathematical modeling and dimensional analysis.
  • 2. Mathematical Modeling.
  • 3. Dimensional Analysis.
  • 4. Four-wheel steering.
  • About difference equations, algebras and discrete events.
  • 1. Difference equations.
  • 2. Changing the algebra.
  • 3 Example on production.
  • 4. Some graph theory and the spectral theory of matrices.
  • 5. A stochastic extension.
  • 6. Counter versus dater description.
  • 7. The Z-transform.
  • 8. Conclusions.
  • Acoustical detection of obstructions in a pipe with a temperature gradient.
  • 2. The problem.
  • 3. The model.
  • 4. Solution.
  • 5. Results.
  • 6. Conclusions.
  • Interior point approach to linear programming: theory, algorithms and parametric analysis.
  • 2. Central approach to the theory of LP.
  • 3. A polynomial-time path-following algorithm.
  • 4. Parametric analysis.
  • Some reflections on Newton’s Method.
  • 1. Introduction and motivation.
  • 2. Rational Newton Flows.
  • 3. Structural Stability.
  • 4. Newton Graphs.
  • 5. Characterization of Newton Graphs.
  • 6. Open problems.
  • Recurrence and induction in Computer Science.
  • 2. Strings of Symbols.
  • 3. Gray codes and recursiveness.
  • 4. Recursive algorithms.