ID 原文 译文
55357 然而,目前有关寻求非线性规划问题多个最优解的研究还比较少见且存在局限性。 At present, however, seeks the optimal solution of the nonlinear programming problem of multiple studies are rare and have limitations.
55358 研究了伪凸目标函数的二次规划问题,首先提出和证明了最优解集的特征,然后借助于求解带有人工变量的辅助线性规划全部最优解的方法,提出了伪凸二次规划有唯一最优解的条件,并在不满足该条件的情况下,通过寻找辅助线性规划的最优解集以获得伪凸二次规划的最优解集。 Studied pseudoconvex objective function is quadratic programming problem, first put forward and prove the characteristics of the optimal solution set, then solve the auxiliary with artificial variables by using linear programming method of all optimal solutions, put forward the pseudo convex quadratic programming is the only condition of optimal solution, and in the case of does not meet the conditions, by finding the optimal solution set of auxiliary linear programming to get pseudo convex quadratic programming is the optimal solution set.
55359 最后给出了两个算例以说明方法的有效性。 The last two examples are given to illustrate the effectiveness of the method.
55360 针对目前存在的不规则三角网(triangulation irregular network,TIN)构网效率较低的问题提出了一种新的生成数字表面模型(digital surface model,DSM)的构网方法。 In view of the present existence of irregular triangle net (triangulation irregular network, TIN) compose the problem of low efficiency of network presents a new generation digital surface model (digital surface model, the DSM) triangulation method.
55361 首先,通过建立虚拟格网和格网插值,在线性时间内快速建立初始三角网。 First of all, through the establishment of virtual grid and grid interpolation, quickly set up the initial triangle mesh in linear time.
55362 然后,对初始三角网中局部少量数据优化得到最终的TIN。 Then, the local small amounts of data in the initial triangle mesh optimization to get the TIN.
55363 最后,对数据进行冗余处理和密集处理,构造高分辨率的DSM。 Finally, the redundancy of data processing and intensive processing, construct the high resolution of DSM.
55364 实验结果表明,该算法的构网效率高于当前存在的TIN构网方法,对于大数据量的DSM生成具有良好的适用性。 The experimental results show that the algorithm of triangulation efficiency higher than that of the existing TIN triangulation method, for large amount of data generated DSM has good applicability.
55365 为了提高离散高斯信道下二进制低密度奇偶校验码(low-density parity-check code,LDPC)最优化译码算法的性能和效率,提出了一种改进的LDPC码最优化译码算法。 In order to improve the discrete gaussian channel binary under low density parity check code (low density parity check code, LDPC) optimization performance and efficiency of decoding algorithm, an improved decoding algorithm of LDPC code optimization.
55366 首先,通过理论分析和数学推导,构建了译码问题的数学模型;然后,论证并给出了针对该模型的最优化译码算法;最后,基于VC6.0平台进行了译码的性能和效率仿真并与其他算法进行比较。 First of all, through theoretical analysis and mathematical deduction, constructs the mathematical model of the decoding problem;Then, argument for the optimized decoding algorithm of the model is also given;Finally, based on VC6. 0 platform decoding performance and efficiency of the simulation and comparing with other algorithms.