- Database pen questions
First, the choice 1 The following statement is correct ___c___. A, the efficiency of the algorithm independent of the structure and data storage B, space complexity of the algorithm is the algorithm in the command (or statement) the number of article

*database management system, object oriented approach, database technology, feasibility analysis, control structures, programming style, data flow diagram, structure design, program logic, tree nodes, binary tree, data flow diagram dfd, fundamental goal, space complexity, finite nature, sequence selection, linear data, exit c, independent system, goto statements**September 15*

- [Concept] complexity of the algorithm [order]
Available with different algorithms to solve a problem, but the quality of an algorithm as well as the merits of the program will affect the efficiency of algorithms. The purpose of algorithm analysis is to choose the right algorithm and improved alg

*efficiency, merits, circumstances, time consuming, algorithm complexity, magnitude, time frequency, time t, infinity, time complexity, algorithm analysis, space complexity, algorithm performance, auxiliary function, time algorithm, concept of time, present law, evolutionary algorithms, execution times**August 29*

- Introduction to Data Structures
Some of the basic theory and a need to know: Data: the information carrier, is to describe the number of objective things, character, and all can be entered into the computer by a computer program to identify and deal with a collection of symbols. Da

*linear structure, implementation time, storage methods, storage location, data elements, storage method, node object, algorithm complexity, storage elements, hash storage, storage unit, physical storage, space complexity, finite nature, information carrier, logical relationship, storage structures, link storage, logic elements, procedures and algorithms**May 11*

- Knapsack problem (a)
Written by someone else, can not find on, and just summed it up very well for them and record it. Introduces the following knapsack problem: The first 01 knapsack knapsack problem the second kind of multiple knapsack problem III Class IV Class V hybr

*optimization, state transition, total value, first class, maximum value, time complexity, knapsack problem, backpack, time and space, space complexity, loo, v max**April 29*

- Notes programmer data structure
Data structure Knowledge: 1. The definition of the object data structure, storage, representation and operation implementation. 2. Linearity: linear tables, stacks, queues, arrays, strings (generalized table does not consider) Trees: binary tree coll

*data structure, structure data, memory space, multi dimensional array, storage methods, address data, memory address, storage structure, time complexity, array data, time and space, table element, space complexity, address calculation, share memory, programming algorithm, continuous space, map section, test algorithm, storage representation**January 9*

- Find an array of values occurring most frequently, and the output frequency of their occurrence
For example, 5,5,8,5,3,5,3,3,3,1, there is the highest number of 5 and 3, there are two main ideas: first construct a hash table, the resulting string array each element as the value to be stored. Create a hash table, the length of the length of the

*string array, conflict, conflicts, element, hash table, occurrence, hash function, maximum value, maximum output, time complexity, max time, space complexity, contest problem, output frequency**January 3*

- Medians and Order Statistics (order statistics)
Medians and Order Statistics ------ Overview Order Statistics: Order statistics, that is ranked the number to find out n bits in the number of i, denoted by ith Medians: The median in the middle is the number of ------ Medians values Assuming all the

*lt, amp, logic, efficiency, array, target, median, two persons, sequence number, worst case, statistic, time complexity, space complexity, order statistics, case time, introduction to algorithms, middle numbers, intermediate number, medians, ith**January 3*

- Sorting algorithm analysis and source
Sorting algorithm Description Time complexity Space complexity Stability Help Bubble Sort Reverse circulation O (N * N) O (1) Is Insertion Sort Slowly order O (N * N) O (1) Is Merge sort Partition O (N * logmN) O (N) Is Radix Sort Remainder O (N * lo

*public static void, println, bubble sort, insertion sort, sorting algorithm, heap structure, quick sort, temp data, algorithm description, orderly sequence, void print, time complexity, selection sort, heap sort, swap data, algorithm analysis, space complexity, reverse circulation, top of the heap, triple loop**December 30*

- Reply: web front-end interview questions written a new solution
To solve the problem, there are two methods, nothing more than time and space trade-off, in practical application as the case may be, do not write the specific code, as follows, interested welcome PK. The first method, the expense of time for space,

*interview questions, statistics, maximum number, practical application, web front, reply, string time, sorting algorithm, occurrences, statistical data, time complexity, time and space, space complexity, new solution, sweep surface, scan strings**December 10*

- Summary of the classical sorting algorithm
Busy for some time before the written examination of each company, almost all IT companies will be involved in his written introduction to data structures and algorithms such stuff, Sohu's pen questions also appear in a combination of mathematics con

*data structures, a3, bubble sort, insertion sort, memory space, sorting algorithm, array name, memory storage, a5, quick sort, set of numbers, time complexity, selection sort, a4, heap sort, external memory, space complexity, external sort, implementation of algorithm, space features**December 10*

- Using PHP in the array reduces the time complexity of procedure
First, a technical description below is from cattle Pan Lianghu reproduced over the space, I feel very good article written, to turn over their collections, and share with everyone. Abstract This paper is to introduce programming in PHP, how to skill

*array, several times, merits, web2 0, algorithm, code optimization, continuous improvement, application developers, running time, hardware configuration, cattle, unexpected results, time complexity, arithmetic logic, space complexity, operat, technical description, sized applications, equipment hardware, logic programming language**November 17*

- Dual array memory footprint test dictionary tree
http://blog.huang-wei.com/2010/07/20/% E5% 8F% 8C% E6% 95% B0% E7% BB% 84% E5% AD% 97% E5% 85% B8% E6 % A0% 91% E7% 9A% 84% E5% 86% 85% E5% AD% 98% E5% 8D% A0% E7% 94% A8% E6% B5% 8B% E8% AF% 95 / Dual array memory footprint test dictionary tree An a

*max size, test case, e5, simple test, memory footprint, english word, a0, initial size, leaf nodes, optimization method, e7, waste of space, memory test, space complexity, pointer array, trie, application space, case words, press article, holy bible**November 17*

- Using Arrays in PHP to reduce the time complexity of the program
The first description below is from a technical cow Pan Lianghu space reproduced over, feeling very good article written on the turn, her own collection, and to others. Abstract This paper is presented in PHP programming, how to skillfully use the ar

*array, merits, cow, developers, web2 0, algorithm, code optimization, running time, hardware configuration, accomplishment, unexpected results, time complexity, medium applications, arithmetic logic, space complexity, measurements, logic programming language, arrays in php**November 17*

- Time complexity and space complexity of the concept of
Complexity of the algorithm is divided into time complexity and space complexity. The role: time complexity is a measure of the duration of algorithm execution; and space complexity algorithm is a measure of the size of storage space required. Time c

*lt, efficiency, opera, execution time, duration, time consuming, storage space, th power, time frequency, algorithms, order of magnitude, time complexity, space complexity, time algorithm**October 26*

- The complexity of sorting
1. Basic concepts 1.1 stable sort (stable sort) and non-stable sort Stable sort after all some sort of equal number of methods, still maintain their relative order of the sort before. On the contrary, is not a stable sort. For example: The top is a s

*element, elements, a3, contrary, sort method, memory space, memory storage, a5, set of numbers, algorithms, time complexity, bubble sort algorithm, a4, external memory, space complexity, internal sorting, stable sort, implementation of algorithm, different light**October 17*

- What time complexity
Time complexity of Algorithm Analysis Different algorithms available to solve the same problem, but the quality of an algorithm will affect the algorithm as well as the merits of the procedure. The purpose of algorithm analysis is to select the appro

*complexity of algorithm, merits, execution, time consuming, time frequency, algorithms, infinity, order of magnitude, n2, algorithm analysis, space complexity, auxiliary function, time algorithm, concept of time, asymptotic time complexity, law changes**October 9*

- 0830 - Algorithm Exercises
1. The memory of a long array of entries is 10 million units for the structure array struct array, sizeof (struct array) is 512 bytes. Int type structure has a member variable weight. Now need to obtain a weight value by beginning with the largest pr

*efficiency, memory, design ideas, request data, key words, 10 million, algorithm, file format, hard disk, correspondence, type structure, time number, 100 million, time complexity, space complexity, ordered array, variable weight, c keywords, array struct**August 28*

- Identify the array appeared only once in the two figures
1, the meaning of problems: An integer array in addition to the two figures, other figures appear twice. Please write a program to identify these two figures appear only once. Required time complexity is O (n), space complexity is O (1). 2, Analysis:

*lt, amp, element, r1, int data, integer array, time complexity, cout, iostream, cstring, xor, space complexity, bit 3**August 26*

- Their notes of the title
Note that the time complexity 1. Give a series to find the largest row sum and methods: (1) O (n) a scan, if the sum <0, sum = 0. English data structure book p23 (2) O (nlogn) devide and conqure Left and find the largest value of the merger, see the

*data structures, bubble sort, insertion sort, data structure, sorting algorithm, reference java, time performance, quick sort, time complexity, orderly arrangement, heap sort, bucket sort, pivot, space complexity, nlogn, conqure, row sum, devide, election time, sor**August 15*

- Space complexity time complexity
Time complexity is in the field of computer science and engineering to complete the time required for an algorithm is an algorithm to measure the merits of the important parameters. Time complexity is smaller, the higher the efficiency of the algorit

*cn, efficiency, merits, input parameters, algorithm, metrics, wikipedia, b6, e5, wiki, ba, storage space, computer science, time complexity, a6, space complexity**August 10*

- Red-black tree to deal with hash collisions
As far as I shall, hash table collision solutions are perfect hash list and two. List of shortcomings is the worst case o (n) time complexity. Perfect hash disadvantage is dynamically allocated space, and the worst case space complexity is o (n * n).

*hash table, shortcomings, collisions, worst case, red black tree, time complexity, ln, space complexity, bucket size**July 19*

- The algorithm targets a specific problem = time + space + + data structure complexity of the algorithm complexity
Wrote, Program = algorithm + data structure congdepeng writes The algorithm targets a specific problem = time + space + + data structure complexity of the algorithm complexity Here, the space that runs the system resource. I think for a specified pro

*programmer, feelings, little space, time set, length of time, algorithm complexity, tree data structure, time t, binary tree, high score, space data, system resource, array data, space complexity, time space, irregularities, algorithm data, score one, growth surge, high scores**July 14*

- The algorithm targets specific issues = time + space + + data structure complexity of the algorithm complexity
Wrote, Program = algorithm + data structure congdepeng writes The algorithm targets a specific problem = time + space + + data structure complexity of the algorithm complexity Here, the space that runs the system resource. I think for a specified pro

*programmer, feelings, little space, time set, length of time, algorithm complexity, tree data structure, time t, binary tree, high score, space data, system resource, array data, space complexity, time space, irregularities, algorithm data, score one, growth surge, high scores**July 14*

- Data structures necessary to review under the
Disclaimer: This article is reproduced Data structures necessary to review under the Here are some of my writing algorithm, Scicence: import java.util.Arrays; public class Common (algorithm / ** * Data Exchange Method * @ Param v * @ Param i * @ Para

*lt, import java, public static void, data structures, bubble sort, data exchange, sort method, final result, int temp, th power, top to bottom, exchange method, break system, time complexity, current position, select sort, space complexity, algorithm data, scan data, initial string**June 20*

- Agile development - it provides a complete Story?
1 is to provide a complete Story? (Including the dependencies between Story) 2 whether to provide a unit test report? 3 unit test coverage is 90%? Is not covered by the unit tests are analyzed and discussed, and local organizations to find the cause?

*source code, dependencies, unit test, test code, test cases, code style, agile development, unit tests, code programming, test coverage, test report, story 1, measures, programming specifications, baseline, space complexity, acceptance testing, regulatory inspection, ready acceptance, consumer alarm**May 27*

- Agile development - whether to provide a complete Story?
1 is to provide a complete Story? (Including dependencies between Story) 2 whether to provide a unit test report? 3 unit test coverage is 90%? Whether or not covered by unit testing discussion of local organizations and find out why? Whether to take

*source code, dependencies, unit test, test code, test cases, code style, agile development, code programming, test coverage, test report, acceptance test, story 1, measures, programming specifications, baseline, space complexity, acceptance testing, regulatory inspection, ready acceptance, consumer alarm**May 27*

- [Classic question] element selection
Element selection problem: Given a linear sequence elements and a concentration of n integer k (1 <= k <= n), asked to identify which elements of the first k n a small element (s nk large). This problem can be evolved to find maximum and minimum, me

*lt, array, concentration, partition, linear sequence, time complexity, heap sort, element selection, space complexity, logn, heap method, sequence elements, improvement ideas, algorithm code, selection problem, top of the heap, classic question**May 24*

- Median seeking two arrays
1, the title of two arrays, have been good according to ascending order, programmed for calculating these two arrays, the median requirements: requires time complexity O (lgn) space complexity O (1) Examples: Array A: (1,4,6,7,9) B (2,3,5,8) after th

*array, element, merger, two elements, ascending order, n1, median, max 2, algorithms, time complexity, space complexity, maximum values, time algorithm, distinct group**May 2*

- [Lucene3.0 the first glimpse of] the index file format (1): optimization technology and prior knowledge
Note that the content of the topic see " http://lucene.apache.org/java/3_0_1/fileformats.html " Understanding of the disk Lucene index file, you can give us the underlying data storage structure IR system has a deep understanding. In the "i

*basic data types, string type, variable length, string value, gt 4, index data, positive integer, disk storage, high priority, optimization technology, byte string, index file, second byte, storage structure, character sequence, unsigned integer, storage format, space complexity, knowledge note, optimal space**May 2*

- [Lucene3.0 the first glimpse of] index file format (1): optimization technology and prior knowledge
Note that the content of the topic see " http://lucene.apache.org/java/3_0_1/fileformats.html " Understanding of the disk Lucene index file, you can give us the underlying data storage structure IR system has a deep understanding. In the "i

*basic data types, string type, variable length, string value, gt 4, index data, positive integer, disk storage, high priority, optimization technology, byte string, index file, second byte, storage structure, character sequence, unsigned integer, storage format, space complexity, knowledge note, optimal space**May 2*

- Recalling the classical algorithm
=============================================== Author: rerli Time :2003-12-15 Objective: To review the classical order thinking, and realized with C language pointer sorting algorithm ================================================ * / C / * ======

*workload, c language, pointer, a3, contrary, objective, memory space, array name, memory storage, a5, algorithm description, time complexity, select sort, sort type, external memory, selec, space complexity, external sort, c knowledge, sorting algorithm c**April 26*

- Code evaluation method and a tool
Just done to statistics, a function of our projects have reached more than 8,000. So much code, how to find to optimal? Past practice is rectangular with a code method. The rectangular lines of code length, width, nesting depth for the code, the form

*quot, algorithm, initial value, foreach, dosomething, area code, rectangular area, laps, straight line, code complexity, void foo, code layout, twists, evaluation method, space complexity, time space, ccc code, linear complexity, mcconnel, good measure**April 25*

- [Sort structural feature 2] exchange sort
1, bubble sort O (N ^ 2) Bubble sort, the process is simple, first the first and second keywords keyword comparison, if the reverse, two records will be exchanged. And then use the second and third keyword keyword compare, and so on, that the first n

*lt, public static void, bubble sort, int size, keyword search, int temp, quick sort, orderly sequence, pointers, time complexity, second trip, cout, iostream, endl, space complexity, logn, exchange sort, forward position, first trip**April 14*

- [Sort structure feature 3] Selection Sort
(1) a simple selection sort O (N ^ 2) Simple selection sort of operation visit was: ni times through the comparison between keyword, from the n-i +1 records in keyword select the smallest record and and i (i <= i <= n) records exchange of. #include&

*lt, static void, int size, n records, time complexity, selection sort, key keys, cout, iostream, endl, tree selection, space complexity, logn, tournament selection**April 14*

- [Sort structural feature 3] Select Sort
(1) a simple selection sort O (N ^ 2) Simple selection sort of operation visit was: ni times through the comparison between keyword, from the n-i +1 records in keyword select the smallest record and and i (i <= i <= n) records exchange of. #include&

*lt, static void, int size, n records, time complexity, selection sort, select sort, key keys, cout, iostream, endl, tree selection, space complexity, logn, tournament selection**April 14*

- Database document questions and answers
1. Choice 1. The following is a description of the correct ______. A, the efficiency of the algorithm implementation has nothing to do with the data storage structure B, the algorithm is the space complexity algorithm program instructions (or stateme

*database management system, database technology, control structures, programming style, data flow diagram, number c,*