ML2022@CSE.CSU。中南大学机器学习作业四。Neural Network&Deep Learning李宏毅吴恩达机器学习HW4。增加loss和accuracy的图像绘制。手把手入门机器学习中的神经网络与深度学习。包含了各种optimizer优化器的公式推导，原理及代码。

Tree-Seed Algorithm (TSA) 是最近提出的一种基于群体的启发式搜索算法，用于解决连续优化问题。 在 TSA 中，树和种子代表优化问题的可能解决方案。 树木种群称为林分，林分中的树木数量是 TSA 的控制参数（在群体智能或进化计算算法中称为种群大小）。 TSA 中有两个特殊的控制参数，它们的名称是搜索趋势-ST 和将为每棵树产生的种子数-NS。 详情： http : //mskiran.kisisel.selcuk.edu.tr/tsa/

启发搜索算法matlab代码

Query optimizer is at the heart of the database systems. Cost-based optimizer studied in this paper is adopted in almost all current database systems. A cost-based optimizer introduces a plan enumeration algorithm to find a (sub)plan, and then uses a cost model to obtain the cost of that plan, and selects the plan with the lowest cost. In the cost model, cardinality, the number of tuples through an operator, plays a crucial role. Due to the inaccuracy in cardinality estimation, errors in cost...

DB - Access Path Selection in a Relational Database Management System.pdf In a high level query and data manipulation language such as SQL, requests are stated non-procedurally, without reference to access paths. This paper describes how System R chooses access paths for both simple (single relation) and complex queries (such as joins), given a user specification of desired data as a boolean expression of predicates. System R is an experimental database management system developed to carry ..

This doc describes a new extensible query optimization framework that resolves many of the shortcomings of the EXODUS and Volcano optimizer generators. In addition to extensibility, dynamic programming, and memorization based on and extended from the EXODUS and Volcano prototypes, this new optimizer provides (i) manipulation of operator arguments using rules or functions, (ii) operators that are both logical and physical for predicates etc., (iii) schema-specific rules for materialized views,

DB - The Volcano Optimizer Generator - Extensibility and Efficient Search.pdf Emerging database application domains demand not only new functionality but also high performance. To satisfy these two requirements, the Volcano project provides efficient, extensible tools for query and request processing, particularly for object-oriented and scientific database systems. One of these tools is a new optimizer generator. Data model, logical algebra, physical algebra, and optimization rules are ...

Two highly efficient algorithms are known for optimally ordering joins while avoiding cross products: DPccp, which is based on dynamic programming, and Top-Down Partition Search, based on memoization. Both have two severe limitations: They handle only (1) simple (binary) join predicates and (2) inner joins. However, real queries may contain complex join predicates, involving more than two relations, and outer joins as well as other non-inner joins.

Oracle 19c优化器学习手册，Oracle优化器是SQL分析和执行的优化工具，他负责制定SQL的执行计划

Postgresql优化器函数调用思维导图：PG优化器模块函数的调用关系以及部分说明，采用思维导图的方式清晰的表达优化器中逻辑优化和物理优化函数，快速理清优化器的功能