[图书][B] Nonlinear programming: concepts, algorithms, and applications to chemical processes
LT Biegler - 2010 - SIAM
Chemical engineering applications have been a source of challenging optimization
problems for over 50 years. For many chemical process systems, detailed steady state and …
problems for over 50 years. For many chemical process systems, detailed steady state and …
Sequential quadratic optimization for nonlinear equality constrained stochastic optimization
Sequential quadratic optimization algorithms are proposed for solving smooth nonlinear
optimization problems with equality constraints. The main focus is an algorithm proposed for …
optimization problems with equality constraints. The main focus is an algorithm proposed for …
Inexact sequential quadratic optimization for minimizing a stochastic objective function subject to deterministic nonlinear equality constraints
An algorithm is proposed, analyzed, and tested experimentally for solving stochastic
optimization problems in which the decision variables are constrained to satisfy equations …
optimization problems in which the decision variables are constrained to satisfy equations …
A Sequential Quadratic Programming Method With High-Probability Complexity Bounds for Nonlinear Equality-Constrained Stochastic Optimization
A step-search sequential quadratic programming method is proposed for solving nonlinear
equality-constrained stochastic optimization problems. It is assumed that constraint function …
equality-constrained stochastic optimization problems. It is assumed that constraint function …
Accelerating stochastic sequential quadratic programming for equality constrained optimization using predictive variance reduction
In this paper, we propose a stochastic method for solving equality constrained optimization
problems that utilizes predictive variance reduction. Specifically, we develop a method …
problems that utilizes predictive variance reduction. Specifically, we develop a method …
Accelerating design optimization using reduced order models
Although design optimization has shown its great power of automatizing the whole design
process and providing an optimal design, using sophisticated computational models, its …
process and providing an optimal design, using sophisticated computational models, its …
Nonlinear programming without a penalty function or a filter
A new method is introduced for solving equality constrained nonlinear optimization
problems. This method does not use a penalty function, nor a filter, and yet can be proved to …
problems. This method does not use a penalty function, nor a filter, and yet can be proved to …
An Efficient Numerical Method for the Solution of the Optimal Mass Transfer Problem
In this paper we present a new computationally efficient numerical scheme for the
minimizing flow approach for the computation of the optimal L_2 mass transport mapping. In …
minimizing flow approach for the computation of the optimal L_2 mass transport mapping. In …
A superlinear convergence feasible sequential quadratic programming algorithm for bipedal dynamic walking robot via discrete mechanics and optimal control
Z Sun, Y Tian, H Li, J Wang - Optimal Control Applications and …, 2016 - Wiley Online Library
For periodic gait optimization problem of the bipedal walking robot, a class of global and
feasible sequential quadratic programming algorithm (FSQPA) is proposed based on …
feasible sequential quadratic programming algorithm (FSQPA) is proposed based on …