What is the translation of " THE OPTIMIZATION PROBLEM " in Chinese?

• 优化问题

Examples of using The optimization problem in English and their translations into Chinese

The optimization problem is defined as.
优化问题定义为：.

This reduces the size of the optimization problem.
这减少了优化问题的推断。

The optimization problem is formulated as.
优化问题描述为.

Dynamic programming is used to solve the optimization problem.
动态规划常用于解决最优化问题。

The optimization problem is formulated as.
优化问题表示为.

Finally, the new formulation for the optimization problem is:.
最终，优化问题新的公式为：.

The optimization problem can be formulated as.
优化问题描述为.

An example of a plan(states and actions) outputted the optimization problem.
一个规划（状态和动作）的例子输出了优化问题.

The optimization problem, it prints out all solutions.
在优化问题，它输出所有解。

An example of a plan(states and actions) outputted the optimization problem.
一个计划（状态和行动）的示例输出了优化问题。

Consider next the optimization problem Minimize.
接下来的拟合优化问题就是最小化。

An example of a plan(states and actions) outputted by solving the optimization problem.
一个规划（状态和动作）的例子输出了优化问题.

The optimization problem(P1) is transformed to a new problem defined as(P2).
此时，优化问题P1可转化为优化问题P2，如(13)式。

PSO learns from the scenario and uses it to solve the optimization problems.
PSO从这种模型中得到启示并用于解决优化问题。

As before, we can re-express the optimization problem by introducing slack variables.
与之前一样，通过引入松弛变量的方式，我们可以重新表达最优化问题。

PSO learned from the scenario and used it to solve the optimization problems.
PSO从这种模型中得到启示并用于解决优化问题。

The optimization problem solved is a PCA problem(dictionary learning) with an penalty on the components:.
要解决的优化问题是：PCA问题（字典学习）在各主成分上带有一个罚项：.

PSO learned from the scenario and used it to solve the optimization problems.
PSO从上述模型中得到启示并用于解决优化问题。

The optimization problem is typically something like how a traveling salesman would plan a complicated trip most effectively.
通常来说，优化问题类似于一名旅行推销员如何最高效地计划一次复杂旅行的问题。

The reasons for the success of deep learning go far beyond overcoming the optimization problem.
深度学习能成功的因素远远不只克服优化问题。

The optimization problem solved is a PCA problem(dictionary learning) with an penalty on the components:.
对应优化问题的解决是一个带有惩罚项（L1范数的）的PCA问题（dictionarylearning（字典学习））:.

The reasons for the success of deep learning go far beyond overcoming the optimization problem.
深度学习流行的原因远远不止是解决了优化问题。

Instead, the optimization problem is decomposed in a“one-vs-rest” fashion so separate binary classifiers are trained for all classes.
相反，优化问题以“one-vs-rest”的方式分解，因此对所有类进行单独的二进制分类。

In a nutshell: the deeper the network becomes, the harder the optimization problem becomes.
简而言之：网络越深，优化问题就越难。

Learning only the readout layer makes the optimization problem much simpler(indeed, equivalent to regression for supervised learning).
仅学习读出层使得优化问题更简单（实际上，等价于监督学习的回归）。

This solver takes advantage of the analytically computed gradient and solves the optimization problem in a few seconds.
该求解器利用解析梯度，在几秒钟内求解优化问题。

Here you will learn how to define the optimization problem for SVMs when it is not possible to separate linearly the training data.
目标在本教程中，您将学习如何：当不可能线性分离训练数据时，定义SVM的优化问题。

The optimization problem solved is a PCA problem(dictionary learning) with an penalty on the components:.
待求解的优化问题是一个带有对components的\(\ell_1\)惩罚项的PCA问题(字典学习,dictionarylearning):.

The optimization problems expect you to select a feasible solution so that the value of the required function is minimized or maximized.
优化问题希望你选择一个可行的解决方案，以便最小化或最大化所需函数的值。

Instead, the optimization problem is decomposed in a“one-vs-rest” fashion so separate binary classifiers are trained for all classes.
作为替代方案，优化问题是以”one-vs-rest”的方式分解的，因此对所有类都分别进行了binaryclassifier的训练。