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Michael Saunders is a Professor (Research) Emeritus in Management Science Engineering at Stanford University. He has developed mathematical methods for solving large-scale constrained optimization problems and systems of equations. His innovations have led to the implementation of general-purpose software that is widely used across various areas, including engineering, science, and business. He is recognized for co-developing several large-scale optimizers including MINOS, SNOPT, SQOPT, and PDCO, along with dense quadratic programming and non-linear programming solvers such as LSSOL and NPSOL. Throughout his career, Saunders has received numerous accolades, including the Orchard-Hays Prize from MPS in 1985, the Highly Cited Researcher designation from ISI in both Computer Science and Mathematics in 2004 and 2007 respectively, and was named an Honorary Fellow of the RSNZ in 2007. His contributions to optimization have been widely acknowledged, making him a respected figure in the field.
Stanford University • Stanford, California
Professor in Management Science Engineering, focusing on mathematical optimization and development of optimization software.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.