Practical optimization
Practical optimization
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DOI：
10.1137/1.9781611975604
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发表时间：
2019-01
期刊：
影响因子：
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通讯作者：
P. Gill;W. Murray;M. H. Wright
中科院分区：
文献类型：
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作者：
P. Gill;W. Murray;M. H. Wright
在任何领域（科学、工程、医学或商业）中的一般优化问题都涉及到找到依赖于一组变量的目标函数的最优值，其中变量的可接受值受到变量的进一步函数的约束。优化问题有许多形式和类别，主要由目标和约束函数满足（或不满足）的假设定义，例如连续可微性。
A generic optimization problem in any domain—science, engineering, medicine, or business—involves finding the optimal value of an objective function that depends on a set of variables, where acceptable values of the variables are constrained by further functions of the variables. Optimization problems come in many forms and categories, defined primarily by assumptions that are satisfied (or not) about the objective and constraint functions, such as continuous differentiability.