Jump to content

Prof. Dr. Burkhard Lenze

Fast facts

Office hours

by e-mail arrangement

About the person

Publications

Monograph

  • B. Lenze, Mathematik und Quantum Computing, 2nd ed. Berlin: Logos Verlag, 2020.
    Open publication
  • B. Lenze, Basiswissen Angewandte Mathematik – Numerik, Grafik, Kryptik, 2nd ed. Wiesbaden: Springer Vieweg Verlag, 2020 [Online]. Available: https://www.base-search.net/Record/17468c4497363a0fdb34f5b77a22dbae1111580a1f19a2ef80a677bf0895ffdd
    Open publication
  • B. Lenze, Basiswissen Analysis, 2nd ed. Wiesbaden: Springer Vieweg Verlag, 2020 [Online]. Available: https://www.base-search.net/Record/a45601a14fc40188b1a6928bb13f09725e1b35502dc6908121fe5d6590b00eff
    Open publication
  • B. Lenze, Basiswissen Lineare Algebra, 2nd ed. Wiesbaden: Springer Vieweg Verlag, 2020 [Online]. Available: https://www.base-search.net/Record/7368da07b4d55c0f9060f2d8053c996ed25951865d2a9f61b9c25c64c319f5c8
    Open publication
  • B. Lenze, Mathematik und Quantum Computing, 1st ed. Berlin: Logos Verlag, 2018.
    Open publication
  • B. Lenze, Einführung in die Fourier-Analysis. Berlin: Logos-Verlag, 2010.
    Open publication
  • B. Lenze, Einführung in die Mathematik neuronaler Netze, 3rd ed. Berlin: Logos Verlag, 2009.
    Open publication

Journal article

  • B. Lenze, “On the points of regularity of multivariate functions of bounded variation,” Real Analysis Exchange, vol. 29, no. 2, pp. 647–656, 2004 [Online]. Available: https://projecteuclid.org/journals/real-analysis-exchange/volume-29/issue-2/On-the-points-of-regularity-of-multivariate-functions-of-bounded/rae/1149698555.pdf
    Open publication
  • B. Lenze, “Note on interpolation on the hypercube by means of sigma-pi neural networks,” Neurocomputing, vol. 61, pp. 471–478, 2004.
    Open publication
  • B. Lenze and J. Raddatz, “Effects of dilation and translation on a perceptron-type learning rule for higher order Hopfield neural networks,” International journal of neural systems, vol. 12, no. 2, pp. 83–93, 2002.
    Open publication
  • B. Lenze, “On a perceptron-type learning rule for higher order Hopfield neural networks including dilation and translation,” Neurocomputing, vol. 48, no. 1–4, pp. 391–401, 2002.
    Open publication
  • B. Lenze, “Improving Leung’s bidirectional learning rule for associative memories,” IEEE Transactions on Neural Networks, vol. 12, no. 5, pp. 1222–1226, 2001.
    Open publication
  • B. Lenze, “A General Approach to Dyadic Periodic Interpolation Based on Discrete Sigma-Pi Orthogonality,” Journal of Computational Analysis and Applications, vol. 3, no. 4, pp. 271–280, 2001.
    Open publication
  • B. Lenze, “Mathematics and Neural Networks - A Glance at some Basic Connections,” Acta Applicandae Mathematicae, vol. 55, pp. 303–311, 1999.
    Open publication
  • B. Lenze, “Complexity preserving increase of the capacity of bidirectional associative memories by dilation and translation,” Neural Networks, vol. 11, no. 6, pp. 1041–1048, 1998.
    Open publication
  • B. Lenze, “Linking discrete orthogonality with dilation and translation for incomplete sigma-pi neural networks of Hopfield-type,” Discrete Applied Mathematics, vol. 89, no. 1–3, pp. 169–180, 1998.
    Open publication
  • B. Lenze, “Dilation and translation for incomplete sigma-pi neural networks of Hopfield-type - a case study,” International journal of neural systems, vol. 7, no. 6, pp. 689–695, 1996.
    Open publication
  • B. Lenze, “Hyperbolic sigma-pi neural network operators for compactly supported continuous functions,” Advances in Computational Mathematics, vol. 5, pp. 163–172, 1996.
    Open publication
  • B. Lenze, “On local and global sigma-pi neural networks a common link,” Advances in Computational Mathematics, vol. 2, no. 4, pp. 479–491, 1994.
    Open publication
  • B. Lenze, “Note on a density question for neural networks,” Numerical Functional Analysis and Optimization, vol. 15, no. 7–8, pp. 909–913, 1994.
    Open publication
  • B. Lenze, “How to make sigma-pi neural networks perform perfectly on regular training sets,” Neural Networks, vol. 7, no. 8, pp. 1285–1293, 1994.
    Open publication
  • B. Lenze, “Local Behaviour Of Neural Network Operators - Approximation And Interpolation,” Analysis : International Mathematical Journal of Analysis and its Applications, vol. 13, no. 4, pp. 377–387, 1993.
    Open publication
  • B. Lenze, “A hyperbolic modulus of smoothness for multivariate functions of bounded variation,” Approximation Theory and its Applications, vol. 7, no. 1, pp. 1–15, 1991.
    Open publication
  • B. Lenze, “On constructive one-sided approximation of multivariate functions of bounded variation,” Numerical Functional Analysis and Optimization, vol. 11, no. 1–2, pp. 55–83, 1990.
    Open publication
  • B. Lenze, “On the explicit solution of a time-optimal control problem by means of one-sided spline approximation,” Journal of Approximation Theory, vol. 56, no. 3, pp. 297–305, 1989.
    Open publication
  • B. Lenze, “Uniqueness in best one-sided L1-approximation by algebraic polynomials on unbounded intervals,” Journal of Approximation Theory, vol. 57, no. 2, pp. 169–177, 1989.
    Open publication
  • B. Lenze, “On one-sided spline approximation operators,” Numerical Functional Analysis and Optimization, vol. 10, no. 1–2, pp. 167–180, 1989.
    Open publication
  • B. Lenze and F. Locher, “Hermite-Lagrange Two-Point Interpolation Via Peano Kernels,” Results in Mathematics, vol. 16, pp. 253–260, 1989.
    Open publication
  • B. Lenze, “Operators for one-sided approximation by algebraical polynomials,” Journal of Approximation Theory, vol. 54, no. 2, pp. 169–179, 1988.
    Open publication
  • B. Lenze, “On Lipschitz-type maximal functions and their smoothness spaces,” Indagationes Mathematicae, vol. 91, no. 1, pp. 53–63, 1988.
    Open publication
  • B. Lenze, “Note on the connection between two types of maximal functions,” Analysis : International Mathematical Journal of Analysis and its Applications, vol. 8, no. 3–4, pp. 391–395, 1988.
    Open publication

Teaching

Lectures

  • Mathematics for Computer Science 1
  • Mathematics for Computer Science 2
  • Mathematical foundations of encryption technology
  • Mathematics and quantum computing

This site uses cookies to ensure the functionality of the website and to collect statistical data. You can object to the statistical collection via the data protection settings (opt-out).

Settings(Opens in a new tab)