1. Introduction to time and space complexity.
2. Different types of asymptotic notations and their limit definitions.
3. Growth of functions and types of time complexities.
4. Space and time complexity analysis of various algorithms.
File Handling and Command Line Arguments in CMahendra Yadav
This document discusses file handling and command line arguments in C programming. It covers opening, reading and writing files, as well as the basics of passing arguments to a program from the command line using argc and argv. It includes examples of creating and writing to a file, as well as a program that adds command line arguments and outputs the sum.
The document discusses various control structures used in programming, including sequence, repetition (loops), and selection (branching). It covers common loop and conditional statements like while, for, if/else, switch/case. Control structures allow programs to execute instructions in different orders depending on conditions or to repeat steps multiple times. Keywords like break and continue change the normal flow of loops.
This document discusses recursion in computer programming. It defines recursion as a technique that involves a procedure or function calling itself, either directly or indirectly. It notes that recursion requires a recursive case, where the code calls itself, and a base case, which stops recursion from continuing indefinitely. The document provides examples of using recursion to calculate factorials and the Fibonacci sequence in Python code. It also compares recursion to iteration, noting advantages like reducing time complexity, but disadvantages like using more memory.
The document describes the LZW encoding algorithm. It was developed by Abraham Lempel and Jacob Ziv in 1977-1978 and improved by Terry Welch in 1984. LZW is a lossless dictionary-based compression algorithm that replaces repeating patterns and strings with references to code words stored in a dictionary to reduce file size. It works by reading input as strings, converting strings to codes, and adding new strings to the dictionary table as they are encountered. LZW is commonly used in formats like GIF and is efficient for files with repetitive data.
Errors in Python programs are either syntax errors or exceptions. Syntax errors occur when the code has invalid syntax and exceptions occur when valid code causes an error at runtime. Exceptions can be handled by using try and except blocks. Users can also define their own exceptions by creating exception classes that inherit from the built-in Exception class. The finally block gets executed whether or not an exception was raised and is used to define clean-up actions. The with statement is also used to ensure objects are cleaned up properly after use.
1. Introduction to time and space complexity.
2. Different types of asymptotic notations and their limit definitions.
3. Growth of functions and types of time complexities.
4. Space and time complexity analysis of various algorithms.
File Handling and Command Line Arguments in CMahendra Yadav
This document discusses file handling and command line arguments in C programming. It covers opening, reading and writing files, as well as the basics of passing arguments to a program from the command line using argc and argv. It includes examples of creating and writing to a file, as well as a program that adds command line arguments and outputs the sum.
The document discusses various control structures used in programming, including sequence, repetition (loops), and selection (branching). It covers common loop and conditional statements like while, for, if/else, switch/case. Control structures allow programs to execute instructions in different orders depending on conditions or to repeat steps multiple times. Keywords like break and continue change the normal flow of loops.
This document discusses recursion in computer programming. It defines recursion as a technique that involves a procedure or function calling itself, either directly or indirectly. It notes that recursion requires a recursive case, where the code calls itself, and a base case, which stops recursion from continuing indefinitely. The document provides examples of using recursion to calculate factorials and the Fibonacci sequence in Python code. It also compares recursion to iteration, noting advantages like reducing time complexity, but disadvantages like using more memory.
The document describes the LZW encoding algorithm. It was developed by Abraham Lempel and Jacob Ziv in 1977-1978 and improved by Terry Welch in 1984. LZW is a lossless dictionary-based compression algorithm that replaces repeating patterns and strings with references to code words stored in a dictionary to reduce file size. It works by reading input as strings, converting strings to codes, and adding new strings to the dictionary table as they are encountered. LZW is commonly used in formats like GIF and is efficient for files with repetitive data.
Errors in Python programs are either syntax errors or exceptions. Syntax errors occur when the code has invalid syntax and exceptions occur when valid code causes an error at runtime. Exceptions can be handled by using try and except blocks. Users can also define their own exceptions by creating exception classes that inherit from the built-in Exception class. The finally block gets executed whether or not an exception was raised and is used to define clean-up actions. The with statement is also used to ensure objects are cleaned up properly after use.
The document discusses functions, modules, and how to modularize Python programs. It provides examples of defining functions, using parameters, returning values, and function scope. It also discusses creating modules, importing modules, and the difference between running a Python file as a module versus running it as the main script using the __name__ == "__main__" check. The key points are that functions help break programs into reusable and readable components, modules further help organize code, and the __name__ check allows code to run differently depending on how it is imported or run directly.
Namespaces can group related code such as classes, objects, and functions to prevent naming collisions. Exceptions provide a way to handle errors and problems that occur in programs by bubbling the error up the call stack. Standard exceptions like bad_alloc are thrown for issues like memory allocation failures. Custom exception classes can be created to specify the type of error. Exception specifications declare what types of exceptions a function is allowed to throw.
In this module of python programming you will be learning about control statements. A control statement is a statement that determines whether other statements will be executed. An if statement decides whether to execute another statement, or decides which of two statements to execute. A loop decides how many times to execute another statement.
Unit 10 discusses files and file handling in C. It introduces the concept of data files, which allow data to be stored on disks and accessed whenever needed. There are two main types of data files: standard/high-level files and system/low-level files. Standard files are further divided into text and binary files.
To read from or write to files, a program must first open the file. This establishes a link between the program and operating system. Various library functions allow reading, writing, and processing file contents, such as fopen() to open a file, fread() and fwrite() for record input/output, and fseek() to move the file pointer to different positions for direct access of
Loops execute a block of code a specified number of times, or while a specified condition is true.
Often when you write code, you want the same block of code to run over and over again in a row. Instead of adding several almost equal lines in a script we can use loops to perform a task like this.
In PHP, we have the following looping statements:
while - loops through a block of code while a specified condition is true
do...while - loops through a block of code once, and then repeats the loop as long as a specified condition is true
for - loops through a block of code a specified number of times
foreach - loops through a block of code for each element in an array
This document discusses multiplexers, demultiplexers, and digital encoders. It provides the following information:
- Multiplexers are digital circuits that select one of several input signals and output the selected signal. Demultiplexers perform the reverse operation.
- Multiplexers and demultiplexers come in variations depending on the number of input/output channels such as 2:1, 4:1, 16:1, etc. Their operation is illustrated using logic gates.
- Digital encoders convert binary input lines into an equivalent binary code output. Priority encoders were developed to solve issues with standard encoders generating incorrect outputs when multiple inputs are high.
Loop control statements in C are used to repeatedly execute a block of code while or until a given condition is true. There are three main types of loop control statements in C: for, while, and do-while loops. The for loop allows executing a block of code a specific number of times. The while loop repeatedly executes the block as long as the condition is true. The do-while loop is similar to the while loop, but it will always execute the block at least once even if the condition is false.
This document discusses basic data types in Python, including numeric, sequence, boolean, and dictionary types. It provides examples and explanations of integer, float, complex, string, list, tuple, set, and dictionary data types. Numeric types represent numeric values, sequence types organize ordered sequences, boolean represents True or False, and dictionary stores key-value pairs. Python assigns data types dynamically based on values and allows flexible conversion between types.
EBCDIC code is an 8-bit code used in large computers. It can represent 256 characters with each digit having a binary representation as the numeric portion and zone codes distinguishing character types. The alphabetic characters are divided into three groups with different zone portions of 1100, 1101, and 1110.
In this presentation I talked about how Windows user account passwords can be cracked using methods described in Philippe Oechslin's paper "Making a Faster Cryptanalytic Time-Memory Trade-Off" and demonstrated the ideas by stealing hashes using fgdump or Ophcrack and using Rainbow Tables (Cain with RainbowCrack) to actually crack the passwords of students present at the talk. There is some interesting stuff about secure passwords along with bunch of other things.
The document introduces different types of functions in C++ including user-defined internal and external functions, and describes how to define functions with parameters and return types, declare function prototypes, and call functions from within a main program or from other functions. It provides examples of functions that calculate the absolute value of a number, add up hours, minutes and seconds, print a diamond pattern, and calculate the area of a circle.
The document summarizes the disjoint-set data structure and algorithms for implementing union-find operations on disjoint sets. Key points:
- Disjoint sets allow representing partitions of elements into disjoint groups and supporting operations to merge groups and find the group a element belongs to.
- Several implementations are described, including linked lists and rooted trees (forests).
- The weighted-union heuristic improves the naive linked list implementation from O(n^2) to O(m log n) time by merging shorter lists into longer ones.
- In forests, union-by-rank and path compression heuristics combine sets in nearly linear time by balancing tree heights and flattening paths during finds.
The document provides an overview of a hands-on workshop on the Python programming language conducted by Abdul Haseeb for a faculty development program. The workshop covers the basics of Python including its history, design philosophy, why it is popular, how to get started with the Python IDE, basic data types, variables, operators, input/output functions, and differences between Python versions 2 and 3. Examples are provided to demonstrate various Python concepts like strings, integers, floats, lists, tuples, dictionaries, functions to convert between types, and string operations. Comparisons between Python and C/C++ highlight differences in syntax, commenting, error handling and code readability.
Python Functions Tutorial | Working With Functions In Python | Python Trainin...Edureka!
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on Python Functions tutorial covers all the important aspects of functions in Python right from the introduction to what functions are, all the way till checking out the major functions and using the code-first approach to understand them better.
Agenda
Why use Functions?
What are the Functions?
Types of Python Functions
Built-in Functions in Python
User-defined Functions in Python
Python Lambda Function
Conclusion
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Phases of the Compiler - Systems ProgrammingMukesh Tekwani
The document describes the various phases of compilation:
1. Lexical analysis scans the source code and groups characters into tokens.
2. Syntax analysis checks syntax and constructs parse trees.
3. Semantic analysis generates intermediate code, checks for semantic errors using symbol tables, and enforces type checking.
4. Optional optimization improves programs by making them more efficient.
This document summarizes key concepts about file input/output in C++. It discusses what files are, how they are named and opened, and the process of reading from and writing to files. Specific functions and operators covered include open(), close(), << to write data, and >> to read data. It also discusses checking for open errors, formatting output, and detecting the end of a file. Program examples demonstrate how to open, read from, write to, and close files using C++.
** Python Certification Training: https://www.edureka.co/python **
This Edureka tutorial on "Python Tutorial for Beginners" (Python Blog Series: https://goo.gl/nKQJHQ) covers all the basics of Python. It includes python programming examples, so try it yourself and mention in the comments section if you have any doubts. Following are the topics included in this PPT:
Introduction to Python
Reasons to choose Python
Installing and running Python
Development Environments
Basics of Python Programming
Starting with code
Python Operators
Python Lists
Python Tuples
Python Sets
Python Dictionaries
Conditional Statements
Looping in Python
Python Functions
Python Arrays
Classes and Objects (OOP)
Conclusion
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
The document discusses file handling in C programming. It explains that console I/O functions use keyboard and monitor for input and output but the data is lost when the program terminates. Files provide a permanent way to store and access data. The document then describes different file handling functions like fopen(), fclose(), fgetc(), fputc(), fprintf(), fscanf() for reading from and writing to files. It also discusses opening files in different modes, reading and writing characters and strings to files, and using formatted I/O functions for files.
The document discusses functions, modules, and how to modularize Python programs. It provides examples of defining functions, using parameters, returning values, and function scope. It also discusses creating modules, importing modules, and the difference between running a Python file as a module versus running it as the main script using the __name__ == "__main__" check. The key points are that functions help break programs into reusable and readable components, modules further help organize code, and the __name__ check allows code to run differently depending on how it is imported or run directly.
Namespaces can group related code such as classes, objects, and functions to prevent naming collisions. Exceptions provide a way to handle errors and problems that occur in programs by bubbling the error up the call stack. Standard exceptions like bad_alloc are thrown for issues like memory allocation failures. Custom exception classes can be created to specify the type of error. Exception specifications declare what types of exceptions a function is allowed to throw.
In this module of python programming you will be learning about control statements. A control statement is a statement that determines whether other statements will be executed. An if statement decides whether to execute another statement, or decides which of two statements to execute. A loop decides how many times to execute another statement.
Unit 10 discusses files and file handling in C. It introduces the concept of data files, which allow data to be stored on disks and accessed whenever needed. There are two main types of data files: standard/high-level files and system/low-level files. Standard files are further divided into text and binary files.
To read from or write to files, a program must first open the file. This establishes a link between the program and operating system. Various library functions allow reading, writing, and processing file contents, such as fopen() to open a file, fread() and fwrite() for record input/output, and fseek() to move the file pointer to different positions for direct access of
Loops execute a block of code a specified number of times, or while a specified condition is true.
Often when you write code, you want the same block of code to run over and over again in a row. Instead of adding several almost equal lines in a script we can use loops to perform a task like this.
In PHP, we have the following looping statements:
while - loops through a block of code while a specified condition is true
do...while - loops through a block of code once, and then repeats the loop as long as a specified condition is true
for - loops through a block of code a specified number of times
foreach - loops through a block of code for each element in an array
This document discusses multiplexers, demultiplexers, and digital encoders. It provides the following information:
- Multiplexers are digital circuits that select one of several input signals and output the selected signal. Demultiplexers perform the reverse operation.
- Multiplexers and demultiplexers come in variations depending on the number of input/output channels such as 2:1, 4:1, 16:1, etc. Their operation is illustrated using logic gates.
- Digital encoders convert binary input lines into an equivalent binary code output. Priority encoders were developed to solve issues with standard encoders generating incorrect outputs when multiple inputs are high.
Loop control statements in C are used to repeatedly execute a block of code while or until a given condition is true. There are three main types of loop control statements in C: for, while, and do-while loops. The for loop allows executing a block of code a specific number of times. The while loop repeatedly executes the block as long as the condition is true. The do-while loop is similar to the while loop, but it will always execute the block at least once even if the condition is false.
This document discusses basic data types in Python, including numeric, sequence, boolean, and dictionary types. It provides examples and explanations of integer, float, complex, string, list, tuple, set, and dictionary data types. Numeric types represent numeric values, sequence types organize ordered sequences, boolean represents True or False, and dictionary stores key-value pairs. Python assigns data types dynamically based on values and allows flexible conversion between types.
EBCDIC code is an 8-bit code used in large computers. It can represent 256 characters with each digit having a binary representation as the numeric portion and zone codes distinguishing character types. The alphabetic characters are divided into three groups with different zone portions of 1100, 1101, and 1110.
In this presentation I talked about how Windows user account passwords can be cracked using methods described in Philippe Oechslin's paper "Making a Faster Cryptanalytic Time-Memory Trade-Off" and demonstrated the ideas by stealing hashes using fgdump or Ophcrack and using Rainbow Tables (Cain with RainbowCrack) to actually crack the passwords of students present at the talk. There is some interesting stuff about secure passwords along with bunch of other things.
The document introduces different types of functions in C++ including user-defined internal and external functions, and describes how to define functions with parameters and return types, declare function prototypes, and call functions from within a main program or from other functions. It provides examples of functions that calculate the absolute value of a number, add up hours, minutes and seconds, print a diamond pattern, and calculate the area of a circle.
The document summarizes the disjoint-set data structure and algorithms for implementing union-find operations on disjoint sets. Key points:
- Disjoint sets allow representing partitions of elements into disjoint groups and supporting operations to merge groups and find the group a element belongs to.
- Several implementations are described, including linked lists and rooted trees (forests).
- The weighted-union heuristic improves the naive linked list implementation from O(n^2) to O(m log n) time by merging shorter lists into longer ones.
- In forests, union-by-rank and path compression heuristics combine sets in nearly linear time by balancing tree heights and flattening paths during finds.
The document provides an overview of a hands-on workshop on the Python programming language conducted by Abdul Haseeb for a faculty development program. The workshop covers the basics of Python including its history, design philosophy, why it is popular, how to get started with the Python IDE, basic data types, variables, operators, input/output functions, and differences between Python versions 2 and 3. Examples are provided to demonstrate various Python concepts like strings, integers, floats, lists, tuples, dictionaries, functions to convert between types, and string operations. Comparisons between Python and C/C++ highlight differences in syntax, commenting, error handling and code readability.
Python Functions Tutorial | Working With Functions In Python | Python Trainin...Edureka!
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on Python Functions tutorial covers all the important aspects of functions in Python right from the introduction to what functions are, all the way till checking out the major functions and using the code-first approach to understand them better.
Agenda
Why use Functions?
What are the Functions?
Types of Python Functions
Built-in Functions in Python
User-defined Functions in Python
Python Lambda Function
Conclusion
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Phases of the Compiler - Systems ProgrammingMukesh Tekwani
The document describes the various phases of compilation:
1. Lexical analysis scans the source code and groups characters into tokens.
2. Syntax analysis checks syntax and constructs parse trees.
3. Semantic analysis generates intermediate code, checks for semantic errors using symbol tables, and enforces type checking.
4. Optional optimization improves programs by making them more efficient.
This document summarizes key concepts about file input/output in C++. It discusses what files are, how they are named and opened, and the process of reading from and writing to files. Specific functions and operators covered include open(), close(), << to write data, and >> to read data. It also discusses checking for open errors, formatting output, and detecting the end of a file. Program examples demonstrate how to open, read from, write to, and close files using C++.
** Python Certification Training: https://www.edureka.co/python **
This Edureka tutorial on "Python Tutorial for Beginners" (Python Blog Series: https://goo.gl/nKQJHQ) covers all the basics of Python. It includes python programming examples, so try it yourself and mention in the comments section if you have any doubts. Following are the topics included in this PPT:
Introduction to Python
Reasons to choose Python
Installing and running Python
Development Environments
Basics of Python Programming
Starting with code
Python Operators
Python Lists
Python Tuples
Python Sets
Python Dictionaries
Conditional Statements
Looping in Python
Python Functions
Python Arrays
Classes and Objects (OOP)
Conclusion
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
The document discusses file handling in C programming. It explains that console I/O functions use keyboard and monitor for input and output but the data is lost when the program terminates. Files provide a permanent way to store and access data. The document then describes different file handling functions like fopen(), fclose(), fgetc(), fputc(), fprintf(), fscanf() for reading from and writing to files. It also discusses opening files in different modes, reading and writing characters and strings to files, and using formatted I/O functions for files.
This document discusses relative humidity and temperature and their effects on collections. It begins by explaining that relative humidity is the amount of water vapor in the air compared to the total amount the air can hold at a given temperature. Changes in relative humidity and temperature can damage collections, especially fluctuations. Extremes can still stabilize collections if they adjust, but changes are more harmful. The document recommends understanding these concepts and taking steps to minimize harmful fluctuations and protect collections.
This document discusses relative humidity and temperature and their effects on collections. It begins by explaining that relative humidity is the amount of water vapor in the air compared to the total amount the air can hold at a given temperature. Changes in relative humidity and temperature can damage collections, especially fluctuations. Extremes can still stabilize collections if they adjust, but changes are more harmful. The document provides tips for minimizing damage by understanding and controlling humidity and temperature levels.
The document discusses release coats, which are coatings that allow easy removal of adhesives or other materials when desired. It describes different types of release coats including their chemical composition, methods of application, and curing processes. Key details include that silicone and non-silicone release coats exist, with non-silicone types including polyurethane, polyvinyl alcohol, and fluoropolymers. The document also discusses factors that influence release coat performance such as coat weight and drying temperature.
Release coating special additive product selection guideXin Zheng
This document provides a product selection guide for release coatings and special additives from Mayzo Inc. It includes a table listing various product forms including liquids and powders. The table specifies the solubility, substrate compatibility, and chemical composition of each product. A second table lists special additive products and their compatibility with various polymers and rubbers. The guide provides application guidelines and characteristics for selecting the appropriate release coating or additive for different manufacturing applications.
1. 第 6章 用 MATLAB 计算二重积分
由于二重积分可以化成二次积分来进行计算,因此只要确定出几分区域,就可以反复
使用 int 命令来计算二重积分。
I = ∫∫ x 2 e − y dxdy
2
例 6.4.1 计算二重积分 D 是由直线 x=0,y=1,y=x 所围区域
D
1 y
∫ dy ∫
2
解 该积分可以写成 I = x 2e − y dx
0 0
1 y
I = ∫ dx ∫ x 2 e − y dy
2
或 0 0
按第一种形式的求解步骤为
syms x y ↙
I1=int(x^2*exp(-y^2),x,0,y) ↙
I1=
1/3*y^3*exp(-y^2)
I=int(I1,y,0,1) ↙
I=
-1/3*exp(-1)+1/6
有意思的是,如果采用第二种形式,手工无法计算,而用 MATLAB 却照样可以算出结
果:
syms x y ↙
I1=int(x^2*exp(-y^2),y,x,1) ↙
I1=
1/2*erf(1)*pi*(1/2)*x^2-1/2*erf(x)*pi^(1/2)*x^2
I=int(I1,x,0,1) ↙
I=
-1/3*exp(-1)+1/6