No, solutions are not quite guaranteed to be absolute minima or maxima.
不，这些解不能保证是绝对的最小值或最大值。
Connectivity, maxima and minima, and other graph and matrix concepts are explained here.
连通性、最大通路和最小通路以及其他图和矩阵的概念在本章中都进行了介绍。
Ok, so that's the same kind of setup as we had last time, except now we are not just looking for minima and maxima.
这和上一次看到的是一样的，除了我们不仅仅是在寻找最大最小值。
The loss of thick ice has been implicated as a major cause of the very low September sea ice minima observed in recent years.
根据近年来的观测，厚冰的损失极可能导致9月出现海冰最少的情况。
Information analysts use classifications for aggregating measures in statistical groupings such as totals, averages, minima, and maxima.
信息分析员将分类用于统计组中的聚集测度，统计组有总数、平均数、最小值和最大值等。
Local minima of this energy then correspond to desired image properties.
该能量的局部极小值是与期望得到的图像属性相关的。
Of course between each pair of minima there will have to be a subsidiary maximum.
当然在每一对极小之间必定有一个辅极大。
In most cases, these circuit structures may avoid some local minima and find a global minimum.
许多情况下，该电路可以避免一些局部最小值，而找到一个全局最小值。
Due to the localized nature, RBFN can be trained quickly and can avoid falling into local minima.
由于其局部性质，RBFN能被快速训练，避免陷入局部最小。
Modify the segmentation function so that it only has minima at the foreground and background marker locations.
修改分割函数，使其仅在前景和后景标记位置有极小值。
These three local minima differ by virtue of whether the resulting vacuum energy is positive, negative or zero.
我们可以使用真空能量是正、负或零，来区分这三个局部最小值。
However, BP network with gradient descent has some defects such as low convergence speed, fall in local minima.
然而基于梯度下降的BP网络存在收敛速度慢、易陷入局部极小的缺陷。
The convex optimization algorithm was used to get the minima upper bound of performance cost and parameter of optimal minimax controller.
引入凸优化算法，求解使闭环系统渐近稳定且性能指标上界最小的最优控制器参数。
Despite this variation, the TSI has dipped to the same level during the three previous solar minima. Not so during this recent elongated minimum.
即使考虑了这一波动，TSI在前三次的太阳极小期中依然下降到相同的水平，然而在这次较长的极小期却不是这样子了。
SVM solves practical problems such as small samples, nonlinearity, local minima, which exist in most of learning methods, and has a bright future.
支持向量机方法较好地解决了许多学习方法面临的小样本、非线性和局部极小点等问题，具有很好的应用前景。
Essentially, optimal reactive power dispatch is the multi-restraint overall optimization problem with plentiful local minima and discrete variables.
从本质上讲，无功优化调度问题是具有大量的局部极小值的多约束全局优化问题，且含有大量的离散变量。
However, the structural optimization problem is notoriously difficult because the number of local minima tends to grow exponentially with system size.
然而，结构优化问题相当困难，因为其势能曲面上局部极值的数量非常多而且随着体系尺寸呈指数增长。
The algorithm is a random searching algorithm in nature. It can converge to the global minima more probability and be adept in continuous functions optimization.
该算法本质上是一种随机搜索算法，并能以较大概率收敛到全局最优，特别适用于连续函数的优化。
Numerical simulation results show that, compared with QDPSO, it is effective, with strong ability to avoid being trapped in local minima and robust to initial value.
数值实验结果表明，与量子粒子群优化算法相比，该算法效率高、优化性能好，具有较强的避免局部极小能力，对初值具有较强的鲁棒性。
The method solves the problem of local minima of ICP algorithm, and the described method is also useful in the field of comparative analysis for precision measurement.
采用两步法配准克服了标准ICP算法难以解决的局部最小问题，本算法也可广泛应用于精密测量时测量结果的比较分析。
A new method for quantitative measurement of blood flow velocity with Doppler ultrasound is presented. The principle of the minima and the quasi-compensation is described.
本文报导了一种超声多普勒血流定量测量新方法，叙述了极小值和准补偿的原理。
For complex functions with high dimensions, canonical optimization methods are easy to be trapped in local minima and simple random search methods are slow on convergence.
对于高维复杂函数，传统的确定性算法易陷入局部最小，而单一的全局随机搜索算法收敛速度慢。
It is more suitable than simulated annealing and genetic algorithms for solving the problem that presents many local minima. Experimental results show the method is efficient.
本算法比遗传算法和模拟退火算法更适合于解决具有很多局部最小值的冗余传感器系统费用优化的问题，仿真实验结果表明本算法是很有效的。
Particle Swarm optimization (PSO) algorithm is a population-based global optimization algorithm, but it is easy to be trapped into local minima in optimizing multimodal function.
粒子群优化算法应用于多极值点函数优化时，存在陷入局部极小点和搜寻效率低的问题。
You just have to keep remembering which one is a variable, and which one isn't. OK, so more about this next time, and we will also learn about maxima and minima in several variables.
你只需弄清哪个是变量，哪个不是，下次课会涉及更多的内容，我们还会学习，多变量函数的最大值和最小值。
Radial basis function (RBF) network have unique advantages in control applications due to its features of simple topological structure, quick convergence speed and no local minima.
径向基函数(RBF)神经网络由于其结构简单、收敛速度快、无局部极小等特点使其在控制中的应用有着独特的优势。
Aimed at particle swarm optimization (PSO) algorithm being easily trapped into local minima value in multimodal function, a rotating surface transformation (RST) method was proposed.
针对粒子群优化算法(PSO)应用于多极值点函数易陷入局部极小值，提出旋转曲面变换(RST)方法。
Aimed at particle swarm optimization (PSO) algorithm being easily trapped into local minima value in multimodal function, a rotating surface transformation (RST) method was proposed.
针对粒子群优化算法(PSO)应用于多极值点函数易陷入局部极小值，提出旋转曲面变换(RST)方法。
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