小参 该存储库包含由GraphOptimization(Beijing),Inc.开发的轻量级图形优化库的代码。 感谢gtsam的作者。 我们仅将核心功能和类保留在gtsam中。 编写库时,请遵循以下规则。 尽可能少使用模板。 没有使用boost库。 没有特质。 没有智能指针。 自给自足。 要求: gcc编译器版本:5.4.0 20160609(Ubuntu 5.4.0-6ubuntu1〜16.04.11) 高于2.6版的CMake 安装: 将项目克隆到本地。 git clone 运行命令: cd minisam_lib mkdir build cd build cmake .. sudo make install 平台: 仅支持Ubuntu。 对于其他平台,您可以与我们联系。 接触: 如果您有任何需求,请在github上提出问题,或发送电子邮
2022-04-18 22:03:18 27.88MB slam nonlinear-optimization gtsam graph-optimization
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Borwein J.M., Lewis A.S. Convex analysis and nonlinear optimization (draft, 2000) 经典书
2021-11-05 20:20:18 552KB Convex analysis ; nonlinear
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非线性优化的书籍,详细介绍了非线性问题的求解
2021-08-09 19:56:52 8.2MB Nonlinear optimization
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INTRODUCTION TO NONLINEAR OPTIMIZATION Theory, Algorithms, and Applications with MATLAB. 讲解非线性优化方法的书籍。
2021-07-20 11:42:37 58.79MB 非线性优化 MATLAB
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by Johannes Jahn (Author) This book serves as an introductory text to optimization theory in normed spaces. The topics of this book are existence results, various differentiability notions together with optimality conditions, the contingent cone, a generalization of the Lagrange multiplier rule, duality theory, extended semidefinite optimization, and the investigation of linear quadratic and time minimal control problems. This textbook presents fundamentals with particular emphasis on the application to problems in the calculus of variations, approximation and optimal control theory. The reader is expected to have a basic knowledge of linear functional analysis.
2021-05-19 23:10:05 8.78MB Introduction to the Theory
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一本介绍非线性优化理论的英文原版书,施普林格出版社出版的,值得阅读。
2021-04-05 21:28:02 8.61MB 非线性优化
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Combining visual and inertial measurements has become popular in mobile robotics, since the two sensing modalities offer complementary characteristics that make them the ideal choice for accurate Visual-Inertial Odometry or Simultaneous Localization and Mapping (SLAM). While historically the problem has been addressed with filtering, advancements in visual estimation suggest that non-linear optimization offers superior accuracy, while still tractable in complexity thanks to the sparsity of the underlying problem. Taking inspirat
2021-01-28 05:04:39 5.22MB VSLAM
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