good book for data structures and algorithms

Chapter 2 arrays and arraylists Arrays are the most common data structures that appear in almost allProgramming Language. Using data in C # is essentially creating an array object of the system. array type. The system. array class is composed of all arrays.AbstractionBase type. It provides a series of methods for sorting and searching.ProgramManually implemente

, and then delete the heap top element (the lowest value in the heap). The time complexity is O (* (n-k) *lg2k).Admittedly, the use of heaps to find the largest number of K performance is the best, but the benefits are not so little!! Let's imagine that if the input sequence is large, that is, the value of n is so large that it cannot be stored in memory, then the method one and method two are used, of course, the method can achieve the goal by using the merge sort, but how many Io is needed at

;next = NULL;return OK;}Advantages and disadvantages of single linked list and sequential table storage structure Storage mode Time performance Space performance Sequential storage Successive storage units are sequentially storedData Elements for linear tables Insertion: O (1)Insert and delete: Average moveThe length of the table is half the element, the timeis O (n) Easy Overflow Single linked list Use a set of ar

Java data structures and algorithms (iii) -- simple sorting Data alone is not enough. Data presentation often needs to be arranged in a certain order. The higher the requirement, the more complicated the sorting. This article only introduces three simple sorting types. 1) B

observers, that is, dependent objects, each time data changes, these 2 view will changeclassHexviewer (object):defUpdate (self, subject):Print 'hexviewer:subject%s has data 0x%x'%(Subject.name, Subject.data)classDecimalviewer (object):defUpdate (self, subject):Print 'decimalviewer:subject%s has data%d'%(Subject.name, Subject.data)if __name__=='__main__': Data1=

Python cookbook (data structures and algorithms) keeps the dictionary orderly. This example describes how to keep the dictionary in order by using Python. We will share this with you for your reference. The details are as follows: Problem:When creating a dictionary and performing iteration or serialization operations on the dictionary, you can also control the or

A table is an abstract definition of arraylist,linkedlist,stack,queue. I understand it as an ordered single data store.Use of the Remove method with the LinkedList classSimulates a scene, iterates over a linkedlist, and deletes the values stored in them as even numbers. Method One: Use subscript I for A For loop, if found to be an even number, and then remove (i) to delete. The time complexity of this method is O (N2), because the complexity

at a time until an empty slot is found and the key is stored in that position. For example, the hash value of the conflict is H, followed by the order of H+1, h+2, h+3 ...To prevent aggregation (clustering), the skip slots method can be used.(ii) quadratic probing (square probe): that is, the conflicting hash value is H, then the next lookup is h+1, followed by h+4,h+9,h+16 ...(2) Chaining (linked list method): All elements of the same hash value are saved in a linked list. However, the more el

detection and re-hashing;2), Di = 12,-12,22,-22,32,..., ±k2 (K≤M/2), called two-time detection and re-hashing;3), Di = pseudo-random number sequence, called pseudo-random detection re-hash.(2), re-hash methodhi = RHI (key) i =,..., kRHI are different hash functions.(3), Chain address methodStores all the data elements of a synonym in the same linear list. Assuming that the hash address produced by a hash function is on the interval [0,m-1], a pointer

(String)); }Second, the use of the stack-delimiter matching.public int charat (char c) {for (int i = 0; i will ({Press into the stack once, once encountered)}] will be compared with the popup element, if it matches, then match. If not)}], the left sign of the stack pops up and the hint is where the specific right symbol type is missing. This is a tool that can be implemented using stacks.Stack of data into the stack and the time complexity of the

Algorithm Figure Search (breadth first, depth first) depth first is especially important Sort Dynamic planning Matching algorithm and network flow algorithm Regular expressions and string matching Data Figure (tree is particularly important) Map Heap Stack/queue Tries | Dictionary Tree Additional recommendations Greedy algorithm Probability method Approximate algorithm Algorithm: Three-way di

Today we will talk about how to calculate the complexity of time.The concept of Time complexity: (Baidu version)The same problem can be solved by different algorithms, and the quality of an algorithm will affect the efficiency of the algorithm and even the program.The purpose of the algorithm analysis is to select the suitable algorithm and the improved algorithm.In computer science, the time complexity of the algorithm is a function, which quantitati

Data structures and algorithms (C # implementation) series --- tree (1) Heavenkiller (original) First, let's define the tree: A tree is a finite, non-empty node set, T = {r} or T1 or T2 or... Or Tn It has the following properties: 1. the node r specified in the set is called the root node of the tree. 2. The remaining nodes can be divided into n subsets, T1, T2 ,

elements u, and another set R with R relationships. if (b) belongs to r, then elements a and B are equivalent. Equivalence classes refer to the largest set of mutually equivalent elements. In other words, the set U is divided according to the relationship, the elements within the class are equivalent and can be regarded as a kind of clustering.Offline equivalence classes: Known N and R, determine all equivalence classes.Online equivalence class: There are n elements at the beginning, and each e

from its previous element, execute a[count]=a[i],count++;Question 16: How to find the second largest number in an array.Method 1: Sort all the elements and the second largest number in the second positionMethod 2: Use two variables to record the first and second largest number, for the maximum initial value of the primary element, the second largest number is initialized to the smallest negative numbers. Each time the current element is compared with the maximum value, if it is greater than the

fastest in the complexity of O (n^2);(2) Choose Sort, bubble sort is slow, usually appear in the interview question.Complexity of O (N*LOGN):(1) Quick sorting: Based on the comparison of the fastest in the ranking;(2) Merge sort: Less use in practice, often in interview;(3) Heap sorting: The actual use is less, but the heap is very common;The complexity is O (n), and only positive integers can be sorted:(1) Cardinal rank-complexity O (n+r), R as Radix;(2) Counting sort-complexity O (n+k), K for

Back to think of their own computer method surface knowledge system, can only be summed up with disunity. Decided to start from this blog, the accumulation of knowledge to do a comprehensive summary, re-think of their career planning and development.First, the basic data structure begins to comb.This is the first line of the plan.1. Work and project knowledge carding and summary(Sum up what you've done and what you've been doing these days)2. Individu

is more complex because: Need to handle different node types, very cumbersome A multiple comparison operation is required to move the node down Need to move up to split the 4-node node There are a number of scenarios for splitting 4-node nodes 2-3 Find trees are more complex to implement, and in some cases the balancing operation after insertion may result in reduced efficiency. The improved red-black tree based on the 2-3 find tree is not only more efficient, but also

var arraynumber: [Int] = [2,4, 6, 7, 3, 8, 1]Bubble sortfunc Maopao (var array: [int]), [int] { for var i = 0; i count; i++ { for var j = I;j count; j + + {if array[j] > array[j +1] {var temp = Array[j]ARRAY[J] = array[j+1]array[j+1] = Temp}}}return Array} Let array2 =maopao([2,4, 6, 7, 3, 8, 9 , 5])Cond... Copyright NOTICE: This article for Bo Master original article, without Bo Master permission not reproduced. Swift sorting algorithms and

Huashan Big BroSort by: Topological sorting algorithmDictionary ordering algorithmProgramming Zhu Ji Nanxiong: Ordering by bitmapTree: Red and Black tree summaryB + Tree and b* Tree SummaryB-Tree Summary SummaryBalanced binary tree (AVL tree) Summarytrie--Dictionary TreeGraph traversal: Depth-first traversal and breadth-first traversalMinimum spanning tree: minimum spanning tree-prim algorithm and Kruskal algorithmShortest path: Shortest path-dijkstra algorithm and Floyd algorithmCommon classica