Abstract
Our friend and colleague Jonathan Michael Borwein excelled in an incredibly vast range of fields: his work spans from pure analysis, functional analysis and maximal monotone operators, applied optimization, multiobjective optimisation, numerical and computational analysis, mathematics for high performance computing, probability theory, and many more. Jon’s mathematical breadth and his naturally inquisitive energy makes a unique, fascinating picture, that extends far beyond traditional areas such as functional analysis and number theory.
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Borwein, J.M., Lewis, A.S.: Convex Analysis and Nonlinear Optimization. Springer, New York (2000)
Borwein, J.M., Preiss, D.: A smooth variational principle with applications to subdifferentiability and to differentiability of convex functions. AMS Trans. 303, 517–527 (1987)
Barzilai, J., Borwein, J.M.: Two point step-size methods. IMA J. Numer. Anal. 8, 141–148 (1988)
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Burachik, R.S., Li, G. (2020). Introduction. In: Bailey, D., et al. From Analysis to Visualization. JBCC 2017. Springer Proceedings in Mathematics & Statistics, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-030-36568-4_1
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DOI: https://doi.org/10.1007/978-3-030-36568-4_1
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