问题描述: 输入一组整数,求出这组数字子序列和中最大值。也就是只要求出最大子序列的和,不必求出最大的那个序列。例如: 序列:-2 11 -4 13 -5 -2,则最大子序列和为20。 序列:-6 2 4 -7 5 3 2 -1 6 -9 10 -2,则最大子序列和为16。 下面依次给出几个不
问题描述:
输入一组整数,求出这组数字子序列和中最大值。也就是只要求出最大子序列的和,不必求出最大的那个序列。例如:
序列:-2 11 -4 13 -5 -2,则最大子序列和为20。
序列:-6 2 4 -7 5 3 2 -1 6 -9 10 -2,则最大子序列和为16。
下面依次给出几个不同实现算法
int MaxSubseqSum1( int A[], int N )//算法1 T( N ) = O( N3 ) { int ThisSum, MaxSum = 0; int i, j, k; for( i = 0; i < N; i++ ) /* i是子列左端位置*/ { for( j = i; j < N; j++ ) /* j是子列右端位置*/ { ThisSum = 0; /* ThisSum是从A[i]到A[j]的子列和*/ for( k = i; k <= j; k++ ) ThisSum += A[k]; if( ThisSum > MaxSum ) /* 如果刚得到的这个子列和更大*/ MaxSum = ThisSum; /* 则更新结果*/ } /* j循环结束*/ } /* i循环结束*/ return MaxSum; } int MaxSubseqSum2( int A[], int N ) //算法2T( N ) = O( N2 ) { int ThisSum, MaxSum = 0; i【本文来自鸿网互联 (http://www.68idc.cn)】nt i, j; for( i = 0; i < N; i++ ) /* i是子列左端位置*/ { ThisSum = 0; /* ThisSum是从A[i]到A[j]的子列和*/ for( j = i; j < N; j++ ) /* j是子列右端位置*/ { ThisSum += A[j]; /*对于相同的i,不同的j,只要在j-1次循环的基础上累加1项即可*/ if( ThisSum > MaxSum ) /* 如果刚得到的这个子列和更大*/ MaxSum = ThisSum; /* 则更新结果*/ } /* j循环结束*/ } /* i循环结束*/ return MaxSum; } int MaxSubseqSum4( int A[], int N ) //算法4T( N ) = O( N2 ) { int ThisSum, MaxSum; int i; ThisSum = MaxSum = 0; for( i = 0; i < N; i++ ) { ThisSum += A[i]; /* 向右累加*/ if( ThisSum > MaxSum ) MaxSum = ThisSum; /* 发现更大和则更新当前结果*/ else if( ThisSum < 0 ) /* 如果当前子列和为负*/ ThisSum = 0; /* 则不可能使后面的部分和增大,抛弃之*/ } return MaxSum; }//“在线”的意思是指每输入一个数据就进行即时处理,在任 何一个地方中止输入,算法都能正确给出当前的解。
算法3---分治法

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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