S u m m a r y. MPCC can be solved with specific MPCC codes or in its nonlinear equivalent formulation (NLP) using NLP solvers. Two NLP solvers-NPSOL and the line search filter SQP-are used to solve a collection of test problems in AMPL. Both are based on SQP (Sequential Quadratic Programming) philosophy but the second one uses a line search filter scheme.

BACKGROUND AND OBJECTIVES The clinical use of a lipid propofol formulation causes pain during injection, allergic reactions, and bacterial growth. Propofol has been reformulated in different non-lipid presentations to reduce the incidence of adverse effects, but those changes can modify its pharmacokinetics and pharmacodynamics. In the present study, we investigate the pharmacology and toxicolo...

Abstract. Many nonconvex nonlinear programming (NLP) problems of practical interest involve bilinear terms and linear constraints, as well as, potentially, other convex and nonconvex terms and constraints. In such cases, it may be possible to augment the formulation with additional linear constraints (a subset of Reformulation-Linearization Technique constraints) which do not affect the feasibl...

This contribution describes the development of various strategies for the dynamic optimization of a batch reactor in order to obtain a robust model, suitable for nonlinear (NLP) or mixed-integer nonlinear programming (MINLP) problems. Different Orthogonal Collocation on Finite Element (OCFE) schemes and various formulations of the MINLP model have been studied to increase its robustness. It has...

Decoding and Turbo Equalization (TEQ) algorithms based on the Sum-Product Algorithm (SPA) are well established for LDPC codes. However there is increasing interest in linear and nonlinear programming (NLP)-based decoders which may offer computational and performance advantages over the SPA. We present NLP decoders and Turbo equalizers based on an Augmented Lagrangian formulation of the decoding...

We describe a software environment for dynamic optimization using the simultaneous approach. Over the past few years, there has been significant evelopment in the formulation of simultaneous dynamic optimization problems, using collocation on finite elements, and in the solution of the esulting large-scale nonlinear programming problem, using powerful barrier NLP solvers. Here we describe the b...

In this paper we describe an Interior Point Method (IPM) to solve large scale NonLinear Programming (NLP) problems, tailored to the solution of a specialized Optimal Power Plow (OPF) formulation that uses bus voltages in rectangular coordinates. The distinctive feature of this OPF formulation is that the objective function and constraints are quadratic functions, and such quadratic properties a...

objective(s): lipid-based nanoparticles (nlp) are pegylated carriers composed of lipids and encapsulated nucleic acids with a diameter less than 100 nm. the presence of peg in the nlp formulation improves the particle pharmacokinetic behavior. the purpose of this study was to prepare and characterize nlps containing mdr1 sirna and evaluate their cytotoxicity and cellular uptake. mdr1 sirna coul...