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求解非线性问题的算法及程序
- 求解非线性问题的算法及程序，其中有如最速下降法的详细介绍和完整的理论推导过程,The algorithm for solving nonlinear problems and procedures, like the steepest descent method in which a detailed descr iption and complete the process of theoretical derivation
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- 利用c语言编写的最速下降法程序，其中包括利用进退法和0.618法进行的一维搜索-Using c language of the steepest descent procedure, including the advance and retreat method and 0.618 using one-dimensional search method
1223345
- 摘要：人口迁移算法模拟了人口随经济中心而转移和随人口压力增加而扩散的机制。主要针对该算法提出了一种改进的人口迁 移算法。该改进算法通过引入高斯变异算子和最速下降算子来改善人口迁移算法的收敛速度和全局收敛性，并对其收敛性进行了 证明。通过对函数的数值实验测试结果表明，改进的人口迁移算法的全局寻优能力和收敛速度较人口迁移算法均有所提高。 -Abstract: The migration algorithm simulation with the economic centers of p
TDOAAOA-wireless-location
- 为了提高在NLOS 条件下无线定位的精度, 采用多种测量值混合定位的方式, 提出了一种 TDOA /AOA 最速下降混合定位算法.-In order to improve the accuracy of wireless location in NLOS conditions, using a variety of hybrid positioning of the measurement value, a TDOA/AOA steepest descent hybrid algorithm
Adaptive-Filtering-Primer-with-MATLAB
- Adaptive Filtering Primer with MATLAB® clearly explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. The authors introduce discrete-time signal processing, random variables and stochastic process
steepest-decent-a-LMS
- steepest decent and LMS algorithm in adaptive filters
yichuansuanfa
- 遗传算法和最速下降法的比较及其各自的优缺点-Genetic algorithms and compare the steepest descent method and their respective advantages and disadvantages
fast-method
- 机械最优化设计中，无约束条件的最速下降法-Mechanical design optimization, unconstrained conditions steepest descent method
Steepest-Descend
- Steepest Descend Algorithm with optimum step size computation
zuisuxiajiangfa
- 在工程优化问题中，经常遇到寻求最值点情况，本文档既是最速下降法代码示例-In engineering optimization problems, to find the most frequently encountered situation point value, this document is not only the steepest descent method code examples
Introduction-to-CG
- The idea of quadratic forms i ntroduced and used to derive the methods of Steepest Descent, Conjugate Directions,and Conjugate Gradients.-The idea of quadratic forms is introduced and used to derive the methods of Steepest Descent, Conjugate Directio