… , Wilson proposed the first sequential quadratic programming (SQP) method for the solution
… years, SQP methods have evolved into a powerful and effective class of methods for a wide …

Sequential (or Successive) Quadratic Programming (SQP) is a technique for the solution of
Nonlinear Programming (NLP)problems. It is, as we shall see, an idealized concept, …

… one of the most powerful methods for solving smooth constrained nonlinear optimization
problems, the so-called sequential quadratic programming (SQP) method. Starting during the …

… Sequential quadratic programming (SQP) methods find an approximate solution of a sequence
of quadratic programming (QP) subproblems in which a quadratic model of the objective …

… In this paper the sequential quadratic programming (SQP) method, developed by Wilson [29]…
programming problems is extended to problems in which the quadratic programming sub-…

… In this paper it is tried to describe to some extent the theoretical background and several
practical aspects of sequential quadratic programming (SQ~) methods for solving the following …

… , Sequential Quadratic Programming (SQP) has arguably become the most successful method
… As with most optimization methods, SQP is not a single algorithm, but rather a conceptual …

… The sequential quadratic programming method … and sequential quadratic programming
methods were used to unwrap images. Figure 2 shows the unwrapping result of each method. …

… Sequential quadratic (SQP) programming methods are the method of choice when solving
… Murray and FJ Prieto, “A sequential quadratic programming algorithm using an incomplete …

… Any sequential quadratic programming aigorithm wili have diff~cuities in finding a suitable
descent direction for the line search function, if the quadratic subproblem does not satisfy a …