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We present the technique of the ICA with Reference (ICA-R) to extract an interesting subset of independent sources from their linear
mixtures when some a priori information of the sources are available in the form of rough templates (references). T
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最优化函数集,包括线性规划,非线性规划,带约束优化问题等-Optimization function sets, including linear programming, nonlinear programming, constrained optimization problems, etc
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10.1 一维极值连分式法jmax1.c
10.2 n维极值连分式法jmaxn.c
10.3 不等式约束线性规划问题jlplq.c
10.4 求n维极值的单形调优法jjsim.c
10.5 求约束条件下n维极值的复形调优法jcplx.c-10.1 One-dimensional extremum continued fractions method jmax1.c 10.2 n-dimensional continued fractions method jmaxn.c 10.3
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CANOCO是一款针对生态学排序的需要而开发的。核心部分是基于线性模型的PCA和RDA,基于单峰模型的CA,DCA和CCA。-Canoco for Windows is the next generation of CANOCO software, the most popular tool for constrained and unconstrained ordination in ecological applications. Canoco for Windows integrates
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无约束线性规划的一种求解方法，最速下降法。程序简单，容易使用。-A constrained linear programming method for solving the steepest descent method. The program is simple, easy to use.
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约束优化问题，包含
用Rosen梯度投影法求解约束多维函数的极值
用外点罚函数法求解线性等式约束多维函数的极值
用外点罚函数法求解一般等式约束多维函数的极值
用内点罚函数法求解约束多维函数的极值
用混合罚函数法求解约束多维函数的极值
用混合罚函数加速法求解约束多维函数的极值
用乘子法求解约束多维函数的极值
用坐标轮换法求解约束多维函数的极值
用复合形法求解约束多维函数的极值
-Constrained optimization problems contai
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利用线性约束最小方差算法（LCMV），对等距线阵、柱面扇形阵、圆锥体阵列进行仿真，得到天线抗干扰方向图-Linear constrained minimum variance algorithm (LCMV), for uniform linear array, fan-shaped array of cylinders, cones array simulation, antenna interference pattern
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序列二次规划优化算法，解决线性约束的二次规划问题-Sequential Quadratic Programming optimization algorithm for solving linear constrained quadratic programming problems
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Canoco for Windows 是新一代的CANOCO 软件，是生态学应用软件中用于约束与非约束排序的最流行工具。Canoco for Windows 整合了排序以及回归和排列方法学，以便得到健全的生态数据统计模型。Canoco for Windows 包括线性和曲线单峰方法。(Canoco for Windows is a new generation of CANOCO software that is the most popular tool for constrained and
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阵列信号处理中线性约束最小方差准则（LCMV）算法和最小均方（LMS）算法的matlab源代码(Matlab Source Code of Linear Constrained Minimum Variance Criterion (LCMV) and Least Mean Square (LMS) Algorithms in Array Signal Processing)
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COBYLA - Constrained Optimization by Linear Approximation
A gradient-free optimization algorithm capable of handling nonlinear inequality constraints.
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