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1. What is an algorithm?Algorithms are a series of clear instructions for solving problems, that is, they can obtain the required output within a limited period of time for certain standard input. Algorithms often contain repeated steps and comparison or logical judgment. If an algorithm has a defect or is not suitable for a problem, executing the algorithm will
Reprinted from http://blog.csdn.net/zolalad/article/details/11393915A summary of the five common algorithms design methods for algorithm designI. "Divide and Conquer law"In computer science, divide-and-conquer method is a very important algorithm. The literal explanation is "divide and conquer", which is to divide a complex problem into two or more identical or similar sub-problems, then divide the problem
A simple and easy-to-learn machine learning algorithm--EM algorithmThe problem of parameter estimation in machine learningIn the previous blog post, such as the "easy-to-learn machine learning algorithm--logistic regression", the maximum likelihood function is used to estimate the parameters of the model, in a nutshell, the logistic regression problem belongs to the supervised learning problem in a series o
I. PrefaceSince the realization of the importance of the algorithm, LZ to the algorithm is love and hate, Love is because the algorithm is really interesting to learn,If you have ever had an affair with mathematics, you will naturally have an affection for the algorithm after contacting the
Maximum sub-sequence and algorithm analysis, sub-sequence algorithm analysis Problem Description: Given n integer sequence {a1,a2,..., an}, function f (i,j) =max{0,σak} (k: Continuous from I to j); The problem is the maximum value of the continuous sub-columns, if the maximum is negative, take 0, such as 8 number sequence { -1,2,-3,4,-2,5, -8,3}, the maximum subsequence and the 4+ (-2) +5=7. This problem h
Subject:Algorithm and algorithm design requirements Purpose:Understanding the definition and features of algorithms and the requirements of Algorithm Design Teaching focus:Algorithm features and design requirements Teaching difficulties:Algorithm Design Requirements Course content: I. Definition and features of Algorithms 1. Definition: Ispass (INT num [4] [4]) {Int I, J;For (I = 0; I For (j
Previous wordsThis article describes the complexity of the algorithm in detailLarge O notationLarge o notation is a description of the performance and complexity of the algorithm. The following types of functions are often encountered when parsing an algorithmsymbol nameO (1) constant O (log (n)) logarithm O ( (log (n)) c) logarithmic polynomial O (n) Linear O ( n2)
is large enough, you can use a strong reference directly as a cache, while controllability is higher. Thus, they are commonly used in the caching of desktop application systems. Here's a basic garbage collection algorithm. The garbage collection algorithm can be divided from different angles. according to the basic recycling strategy reference count (Reference counting): The older collection
Prim algorithm 1. Overview Prim algorithm(Prim algorithm), an algorithm in graph theory that can search for the minimum spanning tree in a weighted connected graph. That is, in the tree composed of edge subsets searched by this algorithm, not only all vertices in a connected
the subject of this lesson: algorithm and algorithm design requirements Teaching Purpose: to master the definition and characteristics of algorithm, the requirements of algorithm design Teaching emphases: the characteristic of algorithm, the design requirement of
Top KAlgorithmAnalysis-Baidu interview Problem description: This is a Baidu interview question found on the Internet: The search engine records all the search strings used for each search using log files. The length of each query string is 1-bytes. Suppose there are currently 10 million records, and these query strings have a high degree of repetition. Although the total number is 10 million, the number of query strings should not exceed 3 million after repetition. The higher
Algorithm Interview Course notes===============================================================================Address of this article:===============================================================================Liuyubobobo teacher Improve your algorithmic thinking for the interviewHttp://coding.imooc.com/class/82.htmlCourse Catalogue :The 1th Chapter algorithm interview in the end what is the ghost?An
Copyright NOTICE: Any rights of the algorithm are owned by me, but any developer or organization or group can use this algorithm for development and research, such as the basis of this algorithm to study the new algorithm, but also only need to affirm the source of the basic algori
This article to connect the above Baidu algorithm summary details please click: Hing Xinpeng: Baidu algorithm Summary First, about Chinese participle: 1. Chinese Word Segmentation difficulty analysis First of all to explain the following is: Ordinary users of the search and do SEO or more familiar with the web search user's search habits are very different, and happened to the general search user is the
The K-Nearest neighbor algorithm is the most basic of the case-based learning methods, and first introduces the related concepts of case-based learning. first, the case-based learning. 1, a series of training examples are known, many learning methods for the objective function to establish a clear generalized description; But unlike this, an instance-based learning approach simply stores the training sample. The generalization work from these instanc
Background:Hangyuan Li's "Statistical learning method" is mentioned in the book: Decision tree algorithm usually uses heuristic algorithm, so understandQuestion Answer:Time is limited, here is just the difference between the algorithm and heuristic algorithm and simple development excerpt as follows:The difference betw
a simple concept of the main record stream network and the maximum flow ( The implementation algorithm of the maximum flow may be supplemented later ) , the main explanation is to use the Hungarian algorithm to find the maximum matching of the binary graph. 1 : Streaming Network Stream network is g (V, E) is a finite graph, each of its sides (U, v) ∈ e c (U, v) ≥ 0 (U, v) e C (U, v) = 0
On the first two articles of clustering algorithm, we have introduced the common prototype clustering algorithm K-MEASN algorithm and the clustering algorithm in the hierarchical cluster, this article introduces some density clustering algorithm dbscan. K-means
Algorithm ListIn this paper, the optimal algorithm is found from the perspective of time efficiency and occupied space memory. Classic recursive algorithm recursive algorithm (very slow) Dynamic storage algorithm programming (slow) Matrix Power
First, IntroductionIn the beginning, I was prepared to learn the C4.5 algorithm, and later found that the core of the C4.5 algorithm is ID3 algorithm, so I went back to learn ID3 algorithm, because C4.5 is one of his improvements. As for what is improved, I will mention it in the following description.second, ID3 algor
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