Michael James David Powell FRS [1] was "a British numerical analyst who was among the pioneers of computational mathematics" [2]. He was the inventor/early contributor of quasi-Newton method [3], trust region method [4], augmented Lagrangian method [5], and SQP method [6]. Each of them is a pillar of modern numerical optimization. He also made significant contributions to approximation theory and methods [7].
Among numerous honors, Powell was one of the two recipients of the first Dantzig Prize [8] from the Mathematical Programming Society (MOS) and Society for Industrial and Applied Mathematics (SIAM). This is considered the highest award in optimization.
Michael James David Powell FRS [1] was "a British numerical analyst who was among the pioneers of computational mathematics" [2]. He was the inventor/early contributor of quasi-Newton method [3], trust region method [4], augmented Lagrangian method [5], and SQP method [6]. Each of them is a pillar of modern numerical optimization. He also made significant contributions to approximation theory and methods [7].
Among numerous honors, Powell was one of the two recipients of the first Dantzig Prize [8] from the Mathematical Programming Society (MOS) and Society for Industrial and Applied Mathematics (SIAM). This is considered the highest award in optimization.
[1] https://en.wikipedia.org/wiki/Michael_J._D._Powell
[2] https://royalsocietypublishing.org/doi/full/10.1098/rsbm.201...
[3] https://en.wikipedia.org/wiki/Quasi-Newton_method
[4] https://en.wikipedia.org/wiki/Trust_region
[5] https://en.wikipedia.org/wiki/Augmented_Lagrangian_method
[6] https://en.wikipedia.org/wiki/Sequential_quadratic_programmi...
[7] https://www.cambridge.org/highereducation/books/approximatio...
[8] https://en.wikipedia.org/wiki/Dantzig_Prize