Genetic Algorithms as in the file

数据结构与算法研究 “数据结构”课程由同济大学管理科学与工程系梁哲教授教授。 我在Coursera上研究了图上的算法。 笔记： 数据结构 图上的算法 代码： 排序 分而治之 图形 练习： 算法导论

DQN-PyTorch 实现PyTorch 目录： 项目结构： ├── agents | └── dqn.py # the main training agent for the dqn ├── graphs | └── models | | └── dqn.py | └── losses | | └── huber_loss.py # contains huber loss definition ├── datasets # contains all dataloaders for the project ├── utils # utilities folder containing input extraction, replay memory, config parsing, etc | └── assets | └── replay_memory.py |

Data Structures and Algorithms in Java 6th Edition.2014.pdf数据结构与算法 纯英文 java

纠错码经典课本《Error Correction Coding Mathematical Methods and Algorithms》，非常好用。

Wellesley, Massachusetts, А К Peters, Ltd., 1995. - 308 p., ISBN 1-56881-017-2. Library of Congress Cataloging-in-Publication Data.This is the continuation of One Dimensional Spline Interpolation Algorithms to two dimensions as mentioned in the postscript to that book. We again take the point of view that the nodes (only in the plane) and the values to be interpolated are fixed ahead of time and that no information on a possible underlying function is available.Contents: Preface. Spline Interpolation on Rectangular Grids. Polynomial Interpolation. Rectangular Grids and Product Interpolation. The Lagrange Form of the Bivariate Interpolating Polynomial. Polynomial Interpolation on Special Triangular Grids. Bilinear Spline Interpolation. Searching a Rectangular Grid. Bilinear Interpolation on Rectangles. Biquadratic Spline Interpolants. Knots the Same as Nodes. Knots Different from Nodes. Shape Preservation. A Local Quadratic Method of Interpolation. Bicubic Spline Interpolation. Bicubic Spline Interpolation on Rectangular Grids. Parametric Bicubic Spline Interpolation. Bicubic Hermite Spline Interpolation. Semi-Bicubic Hermite Spline Interpolation. Shape Preservation. Biquadratic Histosplines. Birational Spline Interpolants. Birational Spline Interpolants on Rectangular Grids. Birational Histosplines. Spline Interpolation for Arbitrarily Distributed Points. Global Methods without Triangulation. Existence Problems and Goal Setting. Shepard's Method. Hardy's Multiquadrics. Triangulations. Linear Spline Interpolants over Triangulations. The Approximation of First Partial Derivatives. Quadratic Spline Interpolants over Triangulations. Cubic Spline Interpolation over Triangulations. C1 Spline Interpolation of Degree Five on Triangulations. Postscript. A. Appendix. B. List of Subroutines. Bibliography. Index.

Algorithms.算法概论中文版.pdf

Complete Algorithms for Cooperative Pathfinding Problems

这只是解决问题的示例，大部分来自Leetcode，并提供使用Python的算法和数据结构。

在线聚类算法在数据科学中发挥着至关重要的作用，尤其是在时间、内存使用和复杂性方面的优势，同时与传统聚类方法相比保持了较高的性能。本教程服务于，首先，作为在线机器学习的调查，特别是数据流聚类方法。在本教程中，最先进的算法和相关的核心研究线程将通过识别不同的类别基于距离，密度网格和隐藏的统计模型。聚类有效性指标作为聚类过程中的一个重要组成部分，通常被忽略或被分类指标所取代，导致对最终结果的误解，也将被深入研究。 然后，本文将介绍River，一个由Creme和scikit-multiflow合并而成的go-to Python库。它也是第一个包含在线集群模块的开源项目，该模块可以促进可重复性，并允许直接进一步改进。在此基础上，我们提出了基于现实问题和数据集的聚类配置、应用程序和基准设置的方法。