This is typically an energy minimization problem.
这是典型的能量最小化问题。
For example, a maximization problem can be rewritten as a minimization problem.
例如，最大化问题可以重写为一个最小化问题。
The filled function method is an approach for solving unconstrained global minimization problem.
填充函数法是一种解无约束全局极小化问题的方法。
The basic idea of these methods is to approximate the optimization problem by a sequence of quadratic minimization problems subject to some trust region.
该类算法的基本思想是通过求解一系列二次函数在信赖域中的极小值点逼近最优化问题的解。
Under new control conditions, we prove convergence of the quadratic minimization problem, which improves the recent results by Xu about quadratic optimization.
在新的控制条件下，证明了二次型极小化问题的迭代算法的有效性，所得结果改进了徐洪坤关于二次型优化的最新结果。
The RBF network configuration is formulated as a minimization problem with respect to the number of hidden layer nodes, the center locations and the connection weights.
R BF网络的设计问题就是关于网络隐节点数和隐层节点RBF函数中心、宽度和隐层到输出层的权值的性能指标的最小化问题。
In this paper, the continuous time recurrent neural network is proposed to solve the functional minimization problem, which is often involved in estimation and control.
针对信息科学和控制理论中经常涉及的一类泛函极值问题，提出基于连续回归神经网络的求解方法。
Exploiting the characteristics of the sun basis image, the computation of sunlight and skylight of every frames is finally reduced to a minimization problem which can be solved in real time.
然后，通过对太阳光基图像的特点进行分析，将太阳光和天空光入射光强的求解归结为一个可实时求解的能量最小化问题。
With the diet problem, you saw how to formulate a simple, multi-variable problem, how to declare bidimensional parameters in GNU MathProg, and how to interpret the results of a minimization problem.
在日常饮食问题中，我们看到了如何对一个简单的多变量问题进行建模，如何在GNUMathProg中声明二维参数，以及如何解释最小化问题的结果。
A hybrid algorithm is proposed by combining Particle Swarm optimization (PSO) algorithm with a stochastic optimization method, for solving the test suite minimization problem in regression test.
针对回归测试中测试用例最小化问题，将粒子群优化算法和随机算法相结合，提出一种二维随机粒子群优化算法，用来解决测试用例最小化的问题。
In this paper we prove a convergence theorem of the proximate point algorithm for minimization of DC function, and propose a kind of inexact proximate point algorithm for the minimization problem.
本文证明DC函数最小化问题邻近点算法的一个收敛性定理，并对此问题提出一类非精确邻近点算法。
The maximization problem is then called the primal problem, and the minimization is the dual problem.
在这个意义上最大化问题会被称为初始问题，最小化问题就称为对偶问题。
This article focuses on the topics that by connecting the the least-squares Minimization with the functional abstract space, the abstract definition of the best approximation problem is abtained.
把计算方法中的最小二乘法与泛函的抽象空间联系起来，得到最佳逼近问题的抽象提法，并在赋范线性空间探讨最小二乘法。
The minimization of some energy measure translates some problems into an optimization problem depending on the unknown variables (which are function) in mathematics.
数学上通过能量度量最小化把这些问题转化成变量或函数的最优化问题。
This paper addresses the problem of torque ripple minimization in permanent magnet synchronous motors (PMSM).
主要讨论了正弦波直流无刷电动机转矩纹波最小化问题。
It based on structural risk minimization can effectively solve the over study problem and has the good extension and the better classified accuracy.
它基于结构风险最小化原理，能有效地解决过学习问题，具有良好的推广性和较好的分类精确性。
The non linear optimization problem with constraint has been solved by use of the sequential unconstrained minimization technique (SUMT).
用序列无约束极小化方法（SUMT）求解非线性有约束的优化问题。
The energy equation is solved by the zonal method, and the inverse radiation problem is solved through the minimization of performance function with the conjugated gradient method.
采用段法(区域法)求解正问题，反演中采用求目标函数极小值的共轭梯度法。
It based on structural risk minimization can effectively solve the over study problem and the good extension and better classified accuracy.
它基于结构风险最小化原理，能有效地解决过学习问题，具有良好的推广性和较好的分类精确性。
Wastewater minimization is an environmental problem through improving the process to fully minimize wastewater so as to save water resource.
废水量最小化是通过改进流程尽量减少废水生成量而节约水资源的环保课题。
Distribution network reconfiguration for loss minimization is a complex, large-scale combinatorial optimization problem.
损失最小化的配电网络重构是一个复杂的，大型的组合优化问题。
This paper researches the problem of minimization of delay variation under the multicast end-to-end delay bounded and presents an efficient multicast routing algorithm.
研究多播端到端时延受限条件下的最优时延抖动问题，提出一种有效的多播路由算法。
It is the typical and troublesome problem that the synthesis of function generator approaches minimization of the maxiumun deviation between the output and the expected value.
函数发生机构中输出角度与期望值之间的最大偏差为最小的问题机构综合中一个典型而又较难处理的问题。
We discuss the problem of portfolio investment with risk minimization subject to nonnegative investment proportional coefficient.
本文讨论基于最小路径和最小割集的复杂系统可靠性的描述与计算问题。
The inverse problem is solved using conjugate gradient method of minimization based on discrete ordinates method of radiative transfer equation.
该方法是在辐射传递方程离散坐标近似的基础上，用求目标函数极小值的共轭梯度法进行反演计算。
This paper presents a learning problem from positive examples based on multiple valued minimization paradigm. A new heuristic algorithm for the problem is given.
本文基于多值逻辑函数极小化提出一种正例学习问题，并对这一正例学习问题给出一个启发式学习算法。
This paper presents a learning problem from positive examples based on multiple valued minimization paradigm. A new heuristic algorithm for the problem is given.
本文基于多值逻辑函数极小化提出一种正例学习问题，并对这一正例学习问题给出一个启发式学习算法。
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