My Library

Here is a list of books that I have read, or I own:

  • Abelson, H., Sussman, G.J., Sussman, J. (1996). Structure and Interpretation of Computer Programs. The MIT Press.
  • Argyris, J., Faust, G., Haase, M., Friedrich, R. (2010). Die Erforschung des Chaos. Springer-Verlag.
  • Arnold, V.I. (2004). Catastrophe Theory. Springer-Verlag.
  • Arnold, V.I. (1988). Geometrical Methods in the Theory of Ordinary Differential Equations. Springer-Verlag.
  • Arnold, V.I. (2004). Lectures on Partial Differential Equations. Springer-Verlag.
  • Arnold, V.I. (1989). Mathemcatical Methods of Classical Mechanics. Springer-Verlag.
  • Bellman R. (2003). Dynamic Programmic. Dover Publications.
  • Bellman R. (2003). Perturbation Techniques in Mathematics, Engineering & Physics. Dover Publications.
  • Bibel, W. (1987). Automated Theorem Proving. Vieweg.
  • Bird, R.B., Stewart, W.E., Lightfoot, E.N. (2007). Transport Phenomena. John Wiley & Sons.
  • Bishop, C.M. (2013). Neural Networks for Pattern Recognition. Oxford University Press.
  • Brooks, F.P. (1995). The Mythical Man-Month. Addison-Wesley.
  • Caratheodory, C. (1998). Conformal Representation. Dover Publications.
  • Carey, G.F. (1997). Computational Grids: Generation, adaptation, and solution strategies. Taylor & Francis.
  • Chomsky, N. (2006). Language and Mind. Cambridge University Press.
  • Donea, J., Huerta, A. (2003). Finite Element Methods for Flow Problems. John Wiley & Sons.
  • Elman, H., Silverster, D., Wathen, A. (2005). Finite Elements and Fast Iterative Solvers: With applications in incompressible fluid dynamics. Oxford Science Publications.
  • Evans, L.C. (1998). Partial Differential Equations. American Mathematical Society.
  • Farin, G. (2002). Curves and Surfaces for CAGD: A practical guide. Morgan Kaufmann.
  • Feynman, R. (1999). Feynman Lectures on Computation. Westview Press.
  • Golubitsky, M., Schaeffer, D.G. (1985). Singularities and Groups in Bifurcation Theory. Springer-Verlag.
  • Griewank, A. (2000). Evaluating Derivatives: Principles and techniques of algorithmic differentiation. Society for Industrial and Applied Mathematics.
  • Guckenheimer, J., Holmes, P. (2002). Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields. Springer-Verlag.
  • Hadamard, J. (1996). The Mathematician's Mind: The psychology of invention in the mathematical field. Princeton University Press.
  • Hairer, E., Lubich, C., Wanner, G. (2002). Geometric Numerical Integration: Structure-preserving algorithms for ordinary differential equations. Springer-Verlag.
  • Hawkins, J., Blakeslee, S. (2004). On Intelligence. Holt Paperbacks.
  • Hughes, T.J.R. (2000). The Finite Element Method: Linear static and dynamic finite element analysis. Dover Publications.
  • Kirsch, A. (1996). An Introduction to the Mathematical Theory of Inverse Problems. Springer-Verlag.
  • Knupp, P., Steinberg, S. (1993). Fundamentals of Grid Generation. CRC Press.
  • Korb, K.B., Nicholson, A.E. (2004). Bayesian Artificial Intelligence. Chapman & Hall/CRC.
  • Laplace, P.-S. (2007). A Philosophical Essay on Probabilities. Cosimo.
  • Neumann, J. von (2000). The Computer and the Brain. Yale University Press.
  • Olver, P.J. (2000). Applications of Lie Groups to Differential Equations. Springer-Verlag.
  • Penrose, R. (1999). The Emperor's New Mind. Oxford University Press.
  • Piegle, L., Tiller, W. (1997). The NURBS Book. Springer-Verlag.
  • Taleb, N.N. (2004). Fooled by Randomness: The hidden role of chance in life and in the markets. Penguin Books.
  • Wiggins, S. (2003). Introduction to Applied Nonlinear Dynamical Systems and Chaos. Springer-Verlag.

Have a nice reading!

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