Studies linear and nonlinear programming, the simplex method, duality, sensitivity, transportation and network flow problems, some constrained and unconstrained optimization theory, and the ...

Students will learn about the most common numerical optimization algorithms for solving smooth unconstrained and constrained optimization problems. They will understand the theoretical foundation and ...

This result is obtained by first showing that the same result holds for inequality constrained nonlinear least-squares. As a consequence, the presence of (possibly nonconvex) equality/inequality ...

These perspectives divide the world into unconstrained and constrained views, using terms used by Harvard professor of behavioral studies Tal Ben-Shahar.

With the introduction of constrained quantization, quantization now has two classifications: constrained quantization and unconstrained quantization. Further, we have introduced another new idea in ...

In this paper, we propose an algorithm for solving inequality constrained mini-max optimization problem. In this algorithm, an active set strategy is used together with multiplier method to convert ...

Mathematics: Linear functions, quadratic, logarithmic and exponential functions, the derivative of a function and rules of differentiation, unconstrained optimization with one variable, functions of ...

Roger Fletcher, Sven Leyffer and Philippe L. Toint win Lagrange Prize in Continuous Optimization at SIAM Annual Meeting held in Boston, from July 10–14, 2006.