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Convex
- 凸优化理论在信号处理中的应用，该理论很关键，希望大家多多学习！原版英文文档-Convex optimization theory in signal processing applications, the theory is critical, I hope to learn from you! Original English documentation
COSM
- Convex Optimization Solutions Manual
convex
- 凸包算法 基于JarvisMarch的凸包算法-Convex hull algorithm
python3-cvxopt-1.1.2.tar
- The CVXOPT cone linear program solver，L. Vandenberghe编写的凸优化工具包-The CVXOPT cone linear program solver, L. Vandenberghe Convex Optimization Toolkit prepared
pekeCvConvexityDefect_tespApp
- convex hull hand detection
Nonlinear_Programming
- 全面而完整，本概述提供了密钥算法和理论的单卷处理。笔者提供所有理论方面的明确解释，与大多数结果严格的证明。这两个部分的处理开始的优选条件和凸规划，对偶，广义凸性的讨论，并选定非线性规划分析推导。第二部份是有关技术和数值解无约束优化方法，并介绍了常用的约束非线性优化问题的算法。本次毕业级文本不需要超出初等微积分，线性代数，高等数学和现实背景分析。 -Comprehensive and complete, this overview provides a single-volume treatm
convexoptimization
- A useful book on convex optimization. Published by Cambridge University Press.
ConjugateGradient
- 共轭梯度法的经典之作,在支持向量机凸规划中经常用到。-Conjugate gradient method of classic convex programming in support vector machines are often used.
convex-hull
- 这是一个求凸包的算法，效率约为O（n^2)-This is an evaluation of the convex hull algorithm efficiency is about O (n ^ 2)
cvx-zuiquan
- 关于凸优化资料，目前最新版本的matlab图优化工具加载方法和学习算例。里面讲述了多目标优化、内点法等一些凸优化具体算例，希望对大家有用。-About convex optimization data, the latest version of the loading method matlab figure optimization tools and learning examples. Which describes a multi-objective optimization, int
convexpolyeffect
- This GM directly exercises a GrEffect that draws convex polygons.
polygons
- This GM tests a grab-bag of convex and concave polygons. They are triangles, trapezoid, diamond, polygons with lots of edges, several concave polygons.. But rectangles are excluded.
StrokeBench
- Test drawing a small stroked version to see the effect of special-casing our stroke code for these convex single-contour shapes.
ConvexHull
- The indices returned in order describe the convex hull.
paa-master
- 概率原型分析软件，语言matlab，属于数据分析软件，非监督学习方法，类似于PCA,NMF等-Archetypal analysis represents a set of observations as convex combinations of pure patterns, or archetypes. The original geometric formulation of finding archetypes by approximating the convex hull of