analysis of algorithms book

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C + + STL Source Analysis Learning Note (ii) iterator auto_ptr (old version of book example new version C + + has abolished this concept)

ITERATORTemplateInputiterator Find (inputiterator first,inputiterator last,const t value){while (first! = Last *first! = value)++first;return first;}code example1#include 2#include 3#include 4#include 5#include 6#include 7 8 using namespacestd;9 Ten intMainintargcChar*argv[]) One { A Const intArraySize =7; - intIa[arraysize] = {0,1,2,3,4,5,6}; - thevectorint> Ivect (ia,ia+arraySize); -listint> IList (ia,ia+arraySize); -dequeint> Ideque (ia,ia+arraySize); - +vectorint>::iterator it1 =

Python implementations of machine learning Algorithms (1): Logistics regression and linear discriminant analysis (LDA)

') plt.ylabel (' Ratio_sugar ') plt.title (' LDA ') plt.show () W=calulate_w () plot (W)The results are as follows: The corresponding W value is:[ -6.62487509e-04, -9.36728168e-01]Because of the relationship between data distribution, LDA's effect is not obvious. So I changed the number of samples of several label=0, rerun the program to get the result as follows:The result is obvious, the corresponding W value is:[-0.60311161,-0.67601433]Transferred from: http://cache.baiducontent.com/c?m= 9d7

Full analysis of various sorting algorithms

is calledInternal sorting(Inner sorting); otherwise, if the data needs to be exchanged between internal and external storage, it is calledExternal sorting.Note:① Inner sorting applies to small files with a small number of records② External sorting is suitable for large files with too many records that cannot be stored in memory at a time.2. Division of internal sorting methods by policyIt can be divided into five categories: insert sorting, select sorting, exchange sorting, Merge Sorting, and a

Analysis and comparison of common image interpolation algorithms

grayscale interpolation process [1]. Image interpolation is an important part of image super-resolution processing, different interpolation algorithms have different accuracy, the quality of interpolation algorithm directly affects the degree of distortion of image. The most commonly used interpolation algorithms are three kinds:Nearest neighbor interpolation, bilinear interpolation, cubic convolution, whe

Data mining algorithms-AssociationRule (Shopping Basket Analysis)

In various data mining algorithms, association rule mining is an important one, especially influenced by basket analysis. association rules are applied to many real businesses, this article makes a small Summary of association rule mining. First, like clustering algorithms, association rule mining is an unsupervised learning method that describes the simultaneous

C language-Program Analysis of counting votes-example in the book and example in the ballot paper

C language-Program Analysis of counting votes-example in the book and example in the ballot paper # Include Struct candidate // create a struct, followed by the name{Char name [20]; // defines the variable name and sets the length to 20.Int count; // defines the variable count.} List [] = {"invalid", 0 },{ "Zhang", 0 },{ "Wang", 0 },{ "Li", 0 }, {"Zhao", 0 },{ "Liu", 0 }};// Important !! If you add a str

Reading dragon Book compiling Principles of Grammar Analysis (12) ...

So, finally, I'll take a look at this. The so-called LR (0) Parse table generation algorithm:This algorithm at first glance seems to be out of touch with the front, but if you look carefully before the explanation, for example, carefully compare, feel ...You will find that each time the D actually produces a new state, then look at the specific implementations of closure and Goto:It is not difficult to find out that closure is the derivation of all the non-terminator (that is, the first non-term

Reading dragon Book compiling Principles of Grammar analysis (6) ...

} * if(c=='('){ $i++;Panax Notoginseng parse_e (); -c =Str[i]; the if(c==')'){ +i++; A return; the } +Error ("\ ') \ '", c); - return; $ } $Error ("\ ' 0-9\ ' or \ ' (\ '", c); - return; - } the - Wuyi voidparse_t () the { - Parse_f (); Wu Charc =Str[i]; - while(c=='*'|| c = ='/'){ Abouti++; $ Parse_f (); -c =Str[i]; - } - return; A } + the voidparse_e () - { $ parse_t (); the Charc =Str[i]; the while(c = ='+'|| c =

The difference between the ATT assembly and the Intel assembler, excerpted from the deep analysis of the Linux kernel source code book

Lea EAX,[EBX+ECX] Leal (%EBX,%ECX),%eax Sub eax,[ebx+ecx*4h-20h] subl-0x20 (%ebx,%ecx,0x4),%eax As can be seen from the table, the grammar of at-and-T is more obscure, because [Base+index*scale+disp] can see its meaning at a glance, and disp (Base,index,scale) is unlikely to do so.This approach is often used to access a field within a particular element of the data structure array, where base is the starting address of the array, and scale is the s

Dynamic Planning Analysis Summary-how to design and implement Dynamic Planning Algorithms

When designing algorithms, we often have this experience: If you already know a question, you can use dynamic planning to solve it, it is easy to find and implement the corresponding dynamic planning algorithm; the difficulty of a dynamic planning algorithm lies not in implementation, but in analysis and design. First, you must know that this question needs to be solved using dynamic planning. In this artic

Analysis of five classical algorithms

state.Therefore, the greedy strategy used must carefully analyze whether it satisfies the no-effect. Second, the basic idea of greedy algorithm:1. Build a mathematical model to describe the problem.2. Divide the problem of solving into several sub-problems.3. To solve each sub-problem, the local optimal solution of sub-problem is obtained.4. The solution of the problem is solved by the local optimal solution to the original solution problem. Three, the greedy algorithm applies the questionThe p

Writing machine learning from the perspective of Software Project Project analysis of main supervised learning algorithms in 3--

) O (M*P) Medium So so Medium So so Knn No No O (M*n) Slow Low Low So so Deep learningThe previous article has been explained. Deep learning is a combination of unsupervised and supervised learning algorithms. Therefore, it is not easy to determine the complexity of space-time.The model parameters of deep learning are generally independent of the data magnitude, but on

Analysis of malware through machine learning: Basic Principles of clustering algorithms in Deepviz

Analysis of malware through machine learning: Basic Principles of clustering algorithms in Deepviz Since last year, we have discovered that many audiovisual companies have begun to engage in machine learning and artificial intelligence, hoping to find a fast and effective way to analyze and isolate new types of malware and expand the malicious software library. However, in fact, there is a big problem here:

Detailed analysis of Top K Algorithms

Document directory Problem description: Problem Analysis: Step 2: Find the Top 10 Conclusion: 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,

In-depth analysis of NoSQL database distributed algorithms (graphic details), nosql text

In-depth analysis of NoSQL database distributed algorithms (graphic details), nosql text Although the NoSQL movement has not brought about fundamental technological changes to distributed data processing, it still triggers overwhelming research and practices on various protocols and algorithms. In this article, I will systematically describe the distributed featu

Performance Analysis of sorting algorithms

I. Comparison-based sorting algorithms 1. Insert sorting method Direct insertion sorting, Hill sorting, not commonly used: Tree sort; Library sort: Patience sorting 2. Exchange sorting Bubble sorting, fast sorting, not commonly used: Cocktail sorting, parity sorting 3. Select sort Directly select sorting and heap sorting 4. Merge Sorting Merge Sorting Ii. Comparison-based sorting algorithms Base sorting and

Recursive Analysis and grouping Algorithms

Recursive analysis generally uses the main theorem. The secondary methods include substitution method and recursive tree method ~ Main Theorem: Recursive tree: The proof of the main theorem can be done through the recursive tree method; The applicability of the Main Theorem is limited. In some cases, it cannot be included. In these cases, we need to use the recursive tree method, The case1 of the Main Theorem is F (n) less than the nlogba polynomia

Analysis of four basic encryption algorithms in Java

Analysis of four basic encryption algorithms in Java Simple java encryption algorithms include: 1. BASE64 Base64 is one of the most common encoding methods used to transmit 8-bit code on the network. For details, refer to RFC2045 ~ RFC2049, which has the MIME detailed specification. Base64 encoding can be used to transmit long identification information in the

Background modeling Technology (II): Bgslibrary Framework, background modeling of 37 algorithms performance analysis, background modeling technology challenges

Background modeling Technology (II): Bgslibrary Framework, background modeling of 37 algorithms performance analysis, background modeling technology challenges1. bgslibrary software download based on MFC: http://download.csdn.net/detail/frd2009041510/8691475The software platform includes 37 background modeling algorithms, which can display the input video/image,

Background modeling Technology (II): Bgslibrary Framework, background modeling of 37 algorithms performance analysis, background modeling technology challenges

Background modeling Technology (II): Bgslibrary Framework, background modeling of 37 algorithms performance analysis, background modeling technology challenges1. bgslibrary software download based on MFC: http://download.csdn.net/detail/frd2009041510/8691475The software platform includes 37 background modeling algorithms, which can display the input video/image,

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