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Articles on Trending Technologies
Technical articles with clear explanations and examples
m-ary tree
An m-ary tree in computer science is defined as a collection of nodes normally represented hierarchically in the following manner.The tree is started at the root node.Each node of the tree maintains a list of pointers to its child nodes.The number of child nodes is less than or equal to m.A typical representation of m-ary tree implements an array of m references (or pointers) to store children (Note that m is an upper bound on number of children).An m-way search treea. is empty orb. consists of a root containing b (1
Read MorePotential Method
According to computational complexity theory, the potential method is defined as a method implemented to analyze the amortized time and space complexity of a data structure, a measure of its performance over sequences of operations that eliminates the cost of infrequent but expensive operations.In the potential method, a function Φ is selected that converts states of the data structure to non-negative numbers. If S is treated as state of the data structure, Φ(S) denotes work that has been accounted in the amortized analysis but not yet performed. Thus, Φ(S) may be imagined as calculating the amount of potential energy stored ...
Read MoreMeldable Priority Queue Operations
The randomized meldable heap(also called as Meldable Priority Queue) supports a number of common operations. These are known as insertion, deletion, and a searching operation, findMin. The insertion and deletion operations are implemented in terms of an additional operation specific to the meldable heap, Meld(A1, A2).MeldThe basic target of the meld (also called as merge) operation is to take two heaps (by taking each heaps root nodes), A1 and A2, and merges them, returning a single heap node as a result. This heap node is the root node of a heap containing all elements from the two subtrees rooted at ...
Read MoreTolerance Stack up
What is Assembly Tolerance Stack up Analysis?In short, assembly tolerance stacks up analysis is defined as the tolerance value of the whole assembly or a specific gap of the assembly when we are aware about the tolerance values of all its components.Assembly tolerance chain stack up analysis can be accomplished in different ways. The simplest procedure is termed as the worst case method, which we discuss here.Discussion about Worst Case Method of Assembly Tolerance Stack UpLet, we have an assembly of four thick sheets like below −The thickness and tolerance of the four sheets are displayed in the above figure. ...
Read MoreWorst-Case Tolerance Analysis
Definition and importance of Tolerance AnalysisTolerance analysis is the term given to a number of processes used to calculate the overall variation and effect of variation on products stemming (i.e. arisen) from imperfections in manufactured parts.Tolerance analysis is performed by product design engineers as they prepare to components for manufacturing. This is done to ensure according to end users’ demand as well as guarantee so that all manufactured components are fitted together within an assembly.The Definition of Tolerance AnalysisTolerance analysis is defined as the general term for activities related to the subject of potential collected variation in mechanical parts and assemblies. ...
Read MoreChange data type of given numpy array in Python
We have a method called astype(data_type) to change the data type of a numpy array. If we have a numpy array of type float64, then we can change it to int32 by giving the data type to the astype() method of numpy array.We can check the type of numpy array using the dtype class. Let's check the data type of sample numpy array.Example# importing numpy library import numpy as np # creating numpy array array = np.array([1, 2, 3, 4, 5]) # printing the data type of the numpy array print(array.dtype)OutputIf you run the above code, you will get the ...
Read MoreUsing LIKE clause twice in a MySQL query
Let us first create a table −mysql> create table DemoTable2009 ( Name varchar(20) ); Query OK, 0 rows affected (0.51 sec)Insert some records in the table using insert command −mysql> insert into DemoTable2009 values('John Doe'); Query OK, 1 row affected (0.13 sec) mysql> insert into DemoTable2009 values('Adam Smith'); Query OK, 1 row affected (0.23 sec) mysql> insert into DemoTable2009 values('John Smith'); Query OK, 1 row affected (0.13 sec) mysql> insert into DemoTable2009 values('David Miller'); Query OK, 1 row affected (0.18 sec)Display all records from the table using select statement −mysql> select * from DemoTable2009;This will produce the following output ...
Read MoreMySQL query to insert multiple records quickly
To insert multiple records quickly, use a single INSERT and follow the below syntax −insert into yourTableName values(yourValue1, yourValue2, ...N), (yourValue1, yourValue2, ...N).....N;To understand the above syntax, let us create a table −mysql> create table DemoTable2007 ( Amount1 int, Amount2 int, Amount3 int ); Query OK, 0 rows affected (1.36 sec)Insert some records in the table using insert command −mysql> insert into DemoTable2007 values(450, 600, 700), (1000, 200, 3000), (800, 900, 1200), (1300, 1500, 2000), (40000, 50000, 6700); Query OK, 5 rows affected (0.11 sec) Records: 5 Duplicates: 0 Warnings: 0Display all records from the table ...
Read MoreFetch a specific record from a column with string values (string, numbers and special characters) in MySQL
For this, you can use ORDER BY CAST(). Let us see an example −mysql> create table DemoTable2006 ( UserId int NOT NULL AUTO_INCREMENT PRIMARY KEY, UserCode varchar(20) ); Query OK, 0 rows affected (1.14 sec)Insert some records in the table using insert command −mysql> insert into DemoTable2006(UserCode) values('John_12'); Query OK, 1 row affected (0.20 sec) mysql> insert into DemoTable2006(UserCode) values('John_34'); Query OK, 1 row affected (0.14 sec) mysql> insert into DemoTable2006(UserCode) values('John_56'); Query OK, 1 row affected (0.12 sec) mysql> insert into DemoTable2006(UserCode) values('Chris_101'); Query OK, 1 row affected (0.16 sec) mysql> insert into DemoTable2006(UserCode) values('Chris_103'); Query ...
Read MoreGet minimum value from a column (floating values) with corresponding duplicate ids in MySQL
To get minimum value from a column with corresponding duplicate ids, use GROUP BY and MIN() −select min(yourColumnName) from yourTableName group by yourColumnName;To understand the above syntax, let us create a table −mysql> create table DemoTable2005 ( Id int, Price float ); Query OK, 0 rows affected (0.71 sec)Insert some records in the table using insert command −mysql> insert into DemoTable2005 values(1, 56.88); Query OK, 1 row affected (0.12 sec) mysql> insert into DemoTable2005 values(1, 120.56); Query OK, 1 row affected (0.23 sec)Display all records from the table using select statement −mysql> select * from DemoTable2005;This will produce ...
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