Donald Marquardt

Donald W. Marquardt (March 13, 1929, New York City – July 5, 1997,[1] New Castle, Delaware) was an American statistician, the rediscoverer of the Levenberg–Marquardt nonlinear least squares fitting algorithm.[2]

Marquardt was educated at Columbia University with bachelor's degree in 1950 in physics and mathematics and at the University of Delaware with master's degree in 1956 in mathematics and statistics.[3] Marquardt joined DuPont in 1953 and worked there for 39 years. He also founded and managed the DuPont Quality Management & Technology Center.[1] In 1963 he published his famous paper "algorithm for least-squares estimation of nonlinear problems" in SIAM journal. Marquardt developed his algorithm to solve fitting nonlinear chemical models to laboratory data.[2] In 1975 he was elected as a Fellow of the American Statistical Association.[4]

As manager of the DuPont Applied Statistics Group, he led development of the Product Quality Management methodology and computer systems that implemented the company's continuous improvement initiatives from the mid-1970s to the late 1990s.[5] He won the Shewhart Medal in 1986.

In 1991, he established his own company, Donald W. Marquardt and Associates, which provides consulting and training in quality management, quality assurance, ISO 9000 standards, applied statistics, strategic planning and organizational change.[1]

He died from a heart attack at the age of 68.[1]

  1. ^ a b c d Quality Digest Magazine, August 1997
  2. ^ a b Paul Davis (1993). Levenberg–Marquart Methods and Nonlinear Estimation Archived January 25, 2009, at the Wayback Machine, SIAM News, Vol. 26, Number 6, October 1993.
  3. ^ "Bio/Description: Mr. Donald W. Marquardt". IT History Society. 21 December 2015.
  4. ^ View/Search Fellows of the ASA Archived 2016-06-16 at the Wayback Machine, accessed 2016-08-20.
  5. ^ Marquardt, Donald W.; Ulery, Dana L. (1991). Product Quality Management. Wilmington, DE: E.I. du Pont de Nemours, Quality Management & Technology Center. OCLC 29224881.