best algorithms book

a maximum interval of hyperspace is established in this space. Two parallel super-planes are built on both sides of the super plane separating the data, and the distance between the two parallel planes is maximized by separating the super plane. It is assumed that the larger the distance or gap between parallel planes, the smaller the total error of the classifier. An excellent guide is c.j.c Burges's "Pattern Recognition Support vector machine Guide". Van der Walt and Barnard compare support v

programmingTeaching materials: 1. "Thining in C + +" 2. "C + + Primer" 3. Effective C + + 4. "In-depth exploration of the C + + object Model" Ps:c++ 's classic textbook is too much. Maybe I can list 20 originally, but the beginner is the first to lay a good foundation.Java ProgrammingThere are many training organizations on the market Java video, some videos speak really good, you can look for some. Teaching materials: 1. Thinking in Java 2. Effective Java 3. Practical Java 4. "In-depth underst

beginners I do not recommend the use of "thinking in Java", I recommend the Prentice Hall PTR "core Java 2" in the country called "Java 2 core technology", is currently the seventh edition. On the Internet, everyone can download to the electronic version. OReilly's "Java In a Nutshell" is also a good choice. After reading the above two, you can look at the Onge teacher's video, then you can study "thinking in Java". 2. Java Data Structure There are very few books on Java data structures on th

any OO language. 5. Clean code "Clean Code", author Robert C. Martin, is divided into three parts. The first section introduces principles, patterns, and practical methods for writing clean code. The second part includes a number of research cases with progressive complexity. Each case study is an exercise in cleaning code, and it's a good practice to make your code sound and efficient by solving some of the problems in the code base. The third part is a decisive part: Each individual chapter c

it is suitable for the problem solved by dynamic programming, subproblems obtained after decomposition are often not independent of each other (that is, the next substage is based on the solutions of the previous substage for further solving ). Iii. Applicable situations A problem that can be solved using dynamic planning generally has three properties: (1) Optimization Principle: if the solution of the subproblem included in the optimal solution of the problem is also optimal, it is said th

How to Write custom IP address algorithms and custom IP address Algorithms Through the IP address, you can see the algorithm rule, write it as a custom IP address, or convert the IP address to a custom IP address. It can also be used to encrypt plaintext numbers. The following describes the positive and negative algorithms (in the unit of least one time ): USE

Introduction to algorithms (2) and introduction to AlgorithmsIntroduction to algorithms (2) Introduction to algorithms 2 Rule separation policy Proxy Method Recursive tree Main Method Maximum sub-array Thoughts Code Matrix Algorithm Normal computing Strassen Algorithm Rule Divisio

Introduction to important Nginx algorithms and nginx Algorithms1. Consistent Hash Algorithm Consistent Hash algorithms are one of the most critical algorithms in modern system architecture and are widely used in distributed computing systems, distributed storage systems, data analysis, and many other fields.The key to the hash algorithm is that it can generate a

Several common encryption algorithms in DotNet, and dotnet encryption algorithms In the. NET project, we usually use encryption. Because in Modern projects, the requirements for information security are getting higher and higher, so the encryption of more information becomes crucial. Several common encryption/decryption algorithms are provided. 1. for mutual conv

The general idea of using recursive algorithms to select a tree cascade is that of recursive algorithms. Article copyright by the author Li Xiaohui and blog park a total of, if reproduced Please clearly indicated in the source: http://www.cnblogs.com/naaoveGIS/1. Background In a project, it is found that when the tree is added with checkbox, initialization of this tree will be particularly slow. The numbe

Chapter 2 Summary of three asymmetric encryption algorithms: asymmetric encryption algorithms 13.1 DH The cornerstone of asymmetric algorithms It can only be used for key distribution and cannot be used for data encryption and decryption. Generally, AES is used to encrypt data. Key Length: 512 ~ Integer multiple of 64 in 1024 Both parties have their ow

Summary of STL range member functions and interval algorithms, stl range Function AlgorithmsSummary of STL range member functions and interval Algorithms Here we summarize the interval member functions and interval algorithms that can replace loops; Compared with the single element traversal operation, the advantage of using the range member function is:1) fewer

Js implements Common sorting algorithms and js sorting algorithms This article shares with you how to implement common sorting algorithms in js. The specific content is as follows: 1. Bubble Sorting var bubbleSort = function (arr) { var flag = true; var len = arr.length; for (var i = 0; i 2. Select sort var selectSort = function (arr) { var min; for (var i = 0

Chapter 2 greedy Algorithms Conclusion: This chapter introduces the greedy algorithm based on activity selection, describes the basic idea of greedy policy, and introduces the Heman Encoding Based on greedy policy. 1.Basic Idea of greedy strategy The greedy algorithm can be used to solve some optimization problems. The greedy algorithm expects to generate a global optimal solution through the local optimal selection. However, not all optimization pr

packet stop-and so on, not based on byte-stop-and so on. The Nagle algorithm is entirely determined by the TCP protocol's ACK mechanism, which leads to some problems, such as if the end ACK reply is very fast, Nagle actually does not splice too many packets, although the network congestion is avoided, the overall utilization of the network is still very low. The Nagle algorithm is a half-set of silly window syndrome (SWS) prevention algorithms. The S

and no longer repeat the search. The position that can be reached by this point must have been marked as avilable.(4) Backtracking Example II (full array)# include (4) Greedy algorithm(1) 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 o

divided into two categories:1. Identify the breakpoints on the contour that corresponds to the explicit entity2. Start by dividing the contour into straight lines, and the second step is to check if the over-segmented segments can be merged into a circle or ellipse.9. Camera calibration 10. Stereoscopic Reconstruction 11. Template MatchingTemplate MatchingApplication:1. Integrity detection 2. Object Recognition 3. Determine the position and posture of the target object1. Template matching based

has only one execution path.(3) FeasibilityAll the operations in the algorithm must be basic enough to be implemented with a finite number of implementations of the basic operational operations.(4) with inputAs the measure of the algorithm processing object, it usually manifests as a set of variables in the algorithm. Some inputs need to be entered during the execution of the algorithm, and some of the algorithm surfaces can have no input and are actually embedded in the algorithm.(5) With outp

, this time will not be faster than bubble sorting.Back to top 4, summaryThe above three kinds of sorting, bubbling, selecting, inserting with large O notation all require O (N2) time level. Bubbling sorting is not generally selected, although bubbling sort writing is the simplest, but the average performance is not to choose sort and insert sort well.Select sort to reduce the number of exchanges to the lowest, but the number of comparisons is quite large. Select sort can be applied when the amo

with large O notation all require O (N2) time level. Bubbling sorting is not generally selected, although bubbling sort writing is the simplest, but the average performance is not to choose sort and insert sort well.Select sort to reduce the number of exchanges to the lowest, but the number of comparisons is quite large. Select sort can be applied when the amount of data is small and exchange data is more time-consuming than comparing the data.In most cases, inserting a sort is the best choice