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chengfahanshufa
- 系统优化算法设计与实现—用惩罚函数发（外点法）解带等式约束的非线性规划-Algorithm design and system optimization- with the penalty function hair (external point method) Solutions for Nonlinear Programming with Equality Constraints
boost-slide-trajectory-optimization
- 助推滑翔伪谱方法优化算例, 分多段进行轨迹优化，考虑的多种约束情况-boost-slide trajectory optimization
ADMM
- The alternating direction method of multipliers优化算法。简称ADMM，是机器学习中比较广泛使用的约束问题最优化方法。-The alternating direction method of multipliers optimization algorithm. Acronym ADMM, the machine learning problem is more widespread use of constraint optimization me
WOA_Toolbox
- matlab鲸鱼算法工具箱,包含多种无约束测试函数，多种算法进行比较，GUI界面良好，是今年国外学者新提出的仿生智能优化算法-Whale algorithm matlab toolbox contains a variety of unconstrained test functions, a variety of algorithms are compared, a good GUI interface is intelligent bionic year foreign scholars p
Archetype-Hull-Ranking
- 我们设计一个新奇的规则化框架以学习相似性度量用于无约束人脸验证。我们形式化它的目标函数通过融合鲁棒性对于大规模的个人人脸的内部变化和新奇的相似性度量的辨别力。额外，我们的形式是一个凸优化问题，保证了全局最优解的存在。-we migrate such a geometric model to address face recognition and verification together through proposing a unified archetype hull rankin
er4OC
- 最优控制算法案例的Matlab完整详解，将自由时间问题转化为状态量方程，并利用bvp4c函数解决最小时间优化问题、终端约束问题，非常有参考价值！-The optimal control algorithm Matlab complete example of the case, the free time problem into the state of the equation, and the use of bvp4c function to solve the minimum time
Differential-evolution
- 差分进化方法是一种新的智能算法，可以和多种算法结合，例如神经网络优化；约束性算法；线性算法。-Differential evolution method is a new intelligent algorithm, and can be combined with a variety of algorithms, such as neural network optimization constraint algorithm linear algorithm.
complex
- 本程序为任意维度的复合形程序（适用于解决含不等式约束的优化问题），只需修改相应的初始复合形、目标函数及约束条件等即可求出极小值。-This procedure for any dimension of complex procedures (applicable to solve the optimization problem with inequality constraints).The reader only needs to modify the corresponding initi
yichuansuanfachengxu
- 用遗传算法解决约束问题，最小二乘法优化问题，线性规划，整数规划，二次规划等-Genetic algorithm to solve constrained problems, least squares optimization, linear programming, integer programming, quadratic programming, etc.
sequential-quadratic-program
- 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
ADMM-method
- ADMM方法对于求解线性约束凸优化问题是有效的。在本文中，我们提出了一个邻近线性算法，同伦算法习惯于求解每个迭代点的子问题。在合适的条件下，这个全局收敛和的收敛速度是所提出算法被证明的最糟糕的情况。一个初始的数值结果表明提出方法的有效性。-ADMM method for solving linear constrained convex optimization problem is effective. In this paper, we propose a near linear algo
liziqun
- 基于matlab的粒子群优化算法，可解一次无约束一次方程-Particle swarm optimization algorithm
Particle_Swarm_Optimization
- 粒子群优化解决实际问题的方法，带有约束条件的，供大家参考学习-Particle Swarm Optimization to solve practical problems, with constraints, for your reference study
Direct
- 全局改进带约束direct 优化算法，可进行全局优化-direct optimization algorithm
artificial-fish-swarm-algorithm
- 无约束连续函数优化的人工鱼群算法通用MATLAB源码-Uniformly continuous function optimization of artificial fish swarm algorithm
artificial-ant-colony-algorithm
- 无约束连续函数优化的人工蚁群算法通用MATLAB源码-Uniformly continuous function optimization artificial ant colony algorithm universal MATLAB source code
Altera-FPGA_CPLD-design-Advanced
- 《Altera FPGA_CPLD设计 高级篇》详细介绍FPGA应用于高级特性，LogicLock设计，时序约束，设计优化，高级工具及系统级设计技术，是深入学习FPGA的重要材料-" Altera FPGA_CPLD advanced part design" details FPGA used in advanced features, LogicLock design, timing constraints, design optimization, system-leve
MMATOPOLGY
- MMA移动渐近线 拓扑优化 多约束非线性优化问题-the method of moving asymptotes
bsvm-2.08
- BSVM解决了支持向量机（SVM），用于解决大型分类和回归问题。 它包括以下方法 一个对一个使用约束约束公式的多类分类 通过解决单一优化问题（再次，有界公式）进行多类分类。 参见我们比较文件的第3节。 使用Crammer和Singer的配方进行多级分类。 参见我们的比较文章第4节。 使用约束约束公式的回归-BSVM solves support vector machines (SVM) for the solution of large classification and r
ehf
- 利用广义逆求解无约束条件下的优化问题。求解线性方程组最小二乘解的广义逆法-Under the condition of using the generalized inverse solving unconstrained optimization problems.The least-square solutions to the linear system of equations of the generalized inverse method