Pessimistic
发表于 2025-3-21 19:50:48
书目名称Algorithms for Constrained Minimization of Smooth Nonlinear Functions影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0153214<br><br> <br><br>书目名称Algorithms for Constrained Minimization of Smooth Nonlinear Functions影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0153214<br><br> <br><br>书目名称Algorithms for Constrained Minimization of Smooth Nonlinear Functions网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0153214<br><br> <br><br>书目名称Algorithms for Constrained Minimization of Smooth Nonlinear Functions网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0153214<br><br> <br><br>书目名称Algorithms for Constrained Minimization of Smooth Nonlinear Functions被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0153214<br><br> <br><br>书目名称Algorithms for Constrained Minimization of Smooth Nonlinear Functions被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0153214<br><br> <br><br>书目名称Algorithms for Constrained Minimization of Smooth Nonlinear Functions年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0153214<br><br> <br><br>书目名称Algorithms for Constrained Minimization of Smooth Nonlinear Functions年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0153214<br><br> <br><br>书目名称Algorithms for Constrained Minimization of Smooth Nonlinear Functions读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0153214<br><br> <br><br>书目名称Algorithms for Constrained Minimization of Smooth Nonlinear Functions读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0153214<br><br> <br><br>
不真
发表于 2025-3-21 22:44:17
Reduced quasi-Newton methods with feasibility improvement for nonlinearly constrained optimization,imating a restriction of the Hessian of the Lagrangian. Each iterate is obtained by a search along a simple curve defined by a quasi-Newton direction and a feasibility improving direction; an exact penalty function is used to determine the stepsize. The method can be viewed as an efficient approxima
Inclement
发表于 2025-3-22 01:07:39
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无法解释
发表于 2025-3-22 05:01:06
Computation of the search direction in constrained optimization algorithms,wever, there is considerable variation in the precise nature of the quadratic program to be solved. Furthermore, significant differences exist in the procedures advocated to ensure that the search direction is well defined, and some algorithms abandom the quadratic programming approach for particula
Cryptic
发表于 2025-3-22 10:22:30
A projected Lagrangian algorithm and its implementation for sparse nonlinear constraints,le. The algorithm is of the projected Lagrangian type, involving a sequence of sparse, linearly constrained subproblems whose objective functions include a modified Lagrangian term and a modified quadratic penalty function..The algorithm has been implemented in a general purpose FORTRAN program call
积习难改
发表于 2025-3-22 14:27:08
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entice
发表于 2025-3-22 19:47:54
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有杂色
发表于 2025-3-23 00:47:01
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Pastry
发表于 2025-3-23 04:06:42
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地牢
发表于 2025-3-23 06:04:17
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