The coming of the experience economy time not only brings huge challenge to traditional commercial space design, but also makes new demand on university commercial building intenor design- course teaching. Expene...The coming of the experience economy time not only brings huge challenge to traditional commercial space design, but also makes new demand on university commercial building intenor design- course teaching. Expenencmg construction is considered, as an important content in the teaching process to obtain better teaching objectives by means of design thought of ＂theme setting-physical manifestation- emotional experience＂, and assist students to set up design approach adjust to the new market demand.展开更多
Mehrotra's recent suggestion of a predictor corrector variant of primal dual interior point method for linear programming is currently the interior point method of choice for linear programming. In this work t...Mehrotra's recent suggestion of a predictor corrector variant of primal dual interior point method for linear programming is currently the interior point method of choice for linear programming. In this work the authors give a predictor corrector interior point algorithm for monotone variational inequality problems. The algorithm was proved to be equivalent to a level 1 perturbed composite Newton method. Computations in the algorithm do not require the initial iteration to be feasible. Numerical results of experiments are presented.展开更多
Active set method and gradient projection method are curre nt ly the main approaches for linearly constrained convex programming. Interior-po int method is one of the most effective choices for linear programming. In ...Active set method and gradient projection method are curre nt ly the main approaches for linearly constrained convex programming. Interior-po int method is one of the most effective choices for linear programming. In the p aper a predictor-corrector interior-point algorithm for linearly constrained c onvex programming under the predictor-corrector motivation was proposed. In eac h iteration, the algorithm first performs a predictor-step to reduce the dualit y gap and then a corrector-step to keep the points close to the central traject ory. Computations in the algorithm only require that the initial iterate be nonn egative while feasibility or strict feasibility is not required. It is proved th at the algorithm is equivalent to a level-1 perturbed composite Newton method. Numerical experiments on twenty-six standard test problems are made. The result s show that the proposed algorithm is stable and robust.展开更多
The simplified Newton method, at the expense of fast convergence, reduces the work required by Newton method by reusing the initial Jacobian matrix. The composite Newton method attempts to balance the trade-off betwee...The simplified Newton method, at the expense of fast convergence, reduces the work required by Newton method by reusing the initial Jacobian matrix. The composite Newton method attempts to balance the trade-off between expense and fast convergence by composing one Newton step with one simplified Newton step. Recently, Mehrotra suggested a predictor-corrector variant of primal-dual interior point method for linear programming. It is currently the interiorpoint method of the choice for linear programming. In this work we propose a predictor-corrector interior-point algorithm for convex quadratic programming. It is proved that the algorithm is equivalent to a level-1 perturbed composite Newton method. Computations in the algorithm do not require that the initial primal and dual points be feasible. Numerical experiments are made.展开更多
从用户的实际驾驶过程出发,在人车交互过程中探索更舒适的车内空间布局和界面分布方式。应用七鑫易维asse Pro F140眼动仪,选择有驾驶经验的学校师生作为实验被试,对车内布局进行眼动实验,采集驾驶员眼动信息,并对用户的注视、眼跳和追...从用户的实际驾驶过程出发,在人车交互过程中探索更舒适的车内空间布局和界面分布方式。应用七鑫易维asse Pro F140眼动仪,选择有驾驶经验的学校师生作为实验被试,对车内布局进行眼动实验,采集驾驶员眼动信息,并对用户的注视、眼跳和追随运动等行为进行分析,通过划分兴趣区和注视轨迹,进而剖析驾驶员在驾驶准备过程中对车内布局做出反应的视觉注视行为。通过眼动实验验证了车内布局设计的关键设计节点、注视顺序等,为之后的车内布局设计提供了有力参照。展开更多
文摘The coming of the experience economy time not only brings huge challenge to traditional commercial space design, but also makes new demand on university commercial building intenor design- course teaching. Expenencmg construction is considered, as an important content in the teaching process to obtain better teaching objectives by means of design thought of ＂theme setting-physical manifestation- emotional experience＂, and assist students to set up design approach adjust to the new market demand.
文摘Mehrotra's recent suggestion of a predictor corrector variant of primal dual interior point method for linear programming is currently the interior point method of choice for linear programming. In this work the authors give a predictor corrector interior point algorithm for monotone variational inequality problems. The algorithm was proved to be equivalent to a level 1 perturbed composite Newton method. Computations in the algorithm do not require the initial iteration to be feasible. Numerical results of experiments are presented.
文摘Active set method and gradient projection method are curre nt ly the main approaches for linearly constrained convex programming. Interior-po int method is one of the most effective choices for linear programming. In the p aper a predictor-corrector interior-point algorithm for linearly constrained c onvex programming under the predictor-corrector motivation was proposed. In eac h iteration, the algorithm first performs a predictor-step to reduce the dualit y gap and then a corrector-step to keep the points close to the central traject ory. Computations in the algorithm only require that the initial iterate be nonn egative while feasibility or strict feasibility is not required. It is proved th at the algorithm is equivalent to a level-1 perturbed composite Newton method. Numerical experiments on twenty-six standard test problems are made. The result s show that the proposed algorithm is stable and robust.
文摘The simplified Newton method, at the expense of fast convergence, reduces the work required by Newton method by reusing the initial Jacobian matrix. The composite Newton method attempts to balance the trade-off between expense and fast convergence by composing one Newton step with one simplified Newton step. Recently, Mehrotra suggested a predictor-corrector variant of primal-dual interior point method for linear programming. It is currently the interiorpoint method of the choice for linear programming. In this work we propose a predictor-corrector interior-point algorithm for convex quadratic programming. It is proved that the algorithm is equivalent to a level-1 perturbed composite Newton method. Computations in the algorithm do not require that the initial primal and dual points be feasible. Numerical experiments are made.
文摘从用户的实际驾驶过程出发,在人车交互过程中探索更舒适的车内空间布局和界面分布方式。应用七鑫易维asse Pro F140眼动仪,选择有驾驶经验的学校师生作为实验被试,对车内布局进行眼动实验,采集驾驶员眼动信息,并对用户的注视、眼跳和追随运动等行为进行分析,通过划分兴趣区和注视轨迹,进而剖析驾驶员在驾驶准备过程中对车内布局做出反应的视觉注视行为。通过眼动实验验证了车内布局设计的关键设计节点、注视顺序等,为之后的车内布局设计提供了有力参照。
