Margaret H. Wright

Margaret H. Wright is an American mathematician and computer scientist whose work and leadership shaped numerical optimization and scientific computing.

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Philip E. Gill: Philip E. Gill is a British-American mathematician known for research in numerical optimization and scientific computing. Gill coauthored influential work on practical optimization methods with Wright.
Numerical optimization: Numerical optimization develops algorithms for finding approximate solutions to optimization problems. This is the central mathematical area of Wright's research.
Interior-point method: An interior-point method solves constrained optimization problems by moving through the interior of the feasible region. Wright's research helped develop and analyze these methods for optimization.
Numerical Algorithms Group: The Numerical Algorithms Group is a nonprofit organization that develops and supports numerical software. Wright's leadership and technical expertise contributed to the numerical software community.
Walter Murray: Walter Murray is a mathematician known for contributions to numerical optimization. Murray collaborated with Wright and Gill on optimization research and software.
Scientific computing: Scientific computing uses computation, mathematical models, and numerical methods to investigate scientific problems. Wright's work connects optimization algorithms with practical scientific computation.
Sequential quadratic programming: Sequential quadratic programming solves nonlinear optimization problems through a sequence of quadratic subproblems. This practical method is among the optimization approaches associated with her work.
Numerical optimization (book): Numerical Optimization is a textbook by Jorge Nocedal and Stephen J. Wright on algorithms for continuous optimization. Wright's textbook helped make modern optimization methods accessible to researchers and practitioners.
George B. Dantzig: George B. Dantzig was an American mathematician who developed the simplex method of linear programming. Dantzig's optimization legacy forms part of the intellectual tradition Wright advanced.
Linear programming: Linear programming optimizes a linear objective subject to linear constraints. Linear programming is a foundational optimization problem related to her broader algorithmic work.