In this lecture we discuss more about programming in MATLAB. One main section in programming is flow control. There are many flow control commands in MATLAB. In this lecture we discuss the conditional flow control commands. Conditional statements are commands that allows MATLAB to decide whether or not to execute some code that follows the statement
Conditional statements use relational operators like ==,~=,>,< (Note that are all scalar tests)
This document provides an introduction to key features and commands in MATLAB. It discusses the MATLAB desktop, command window, workspace, command history, and prompt. It demonstrates how to define matrices using brackets and semicolons, and shows how to index matrix elements. Functions, for/while loops, if/switch statements, and debugging tools are also introduced. Plotting commands are demonstrated for displaying sinusoidal functions with varying amplitude, phase, and frequency.
E2Matrix is a stop organisation IT Company having its global recognition for range of platforms
and technologies, including NS-2, MATLAB, WEKA, JAVA, J2EE Solutions, .NET Solutions
(Windows Forms, C#, ASP), Mobile Solutions (J2ME, Android),....
PROVIDED-
RESEARCH PAPERS
OBJECTIVES
SYNOPSIS
IMPLEMENTATION
DOCUMENTATION
REPORT WRITING
PAPER PUBLICATION
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Address:
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Handa City Center, Phagwara code-144401
Email-e2matrixphagwara@gmail.com
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This document discusses solving systems of linear equations using matrices and conditional statements in MATLAB. It provides an overview of relevant commands like rank(), rref(), inv(), and linsolve(). It then outlines a procedure to check the consistency of a system of linear equations based on the rank of the coefficient matrix A and augmented matrix [A B]. If the ranks are equal, it determines if the solution is unique, infinite, or inconsistent. It presents a MATLAB function that implements this procedure to solve a system of linear equations and return the solution or consistency status.
This document discusses computer programming and algorithms. It defines an algorithm as a set of well-defined computational steps to solve a problem. The key aspects of algorithms are that they take inputs, process them, and produce outputs while being unambiguous and terminating in a finite number of steps. The document outlines conventions for writing algorithms like naming, comments, and steps. It then provides an example algorithm to find the maximum of three numbers and represents it as a flowchart. The document also defines a flowchart as a graphical representation of an algorithm and describes the basic symbols used like rectangles, diamonds, and parallelograms to represent sequences, decisions, repetitions, and cases.
Operators are elements in C# that are applied to operands in expressions or statements. Unary operators take one operand, like increment (++), while binary operators take two operands, such as arithmetic operators (+, -, *, /). The conditional operator (?:) is the sole ternary operator, taking three operands. Some common operators are assignment (=), arithmetic, comparison, conditional (&&, ||), ternary (?:), and null coalescing (??). Operator precedence and associativity determine the order of evaluation in expressions with multiple operators. Parentheses can be used to override precedence.
In this lecture we discuss more about programming in MATLAB. One main section in programming is flow control. There are many flow control commands in MATLAB. In this lecture we discuss the conditional flow control commands. Conditional statements are commands that allows MATLAB to decide whether or not to execute some code that follows the statement
Conditional statements use relational operators like ==,~=,>,< (Note that are all scalar tests)
This document provides an introduction to key features and commands in MATLAB. It discusses the MATLAB desktop, command window, workspace, command history, and prompt. It demonstrates how to define matrices using brackets and semicolons, and shows how to index matrix elements. Functions, for/while loops, if/switch statements, and debugging tools are also introduced. Plotting commands are demonstrated for displaying sinusoidal functions with varying amplitude, phase, and frequency.
E2Matrix is a stop organisation IT Company having its global recognition for range of platforms
and technologies, including NS-2, MATLAB, WEKA, JAVA, J2EE Solutions, .NET Solutions
(Windows Forms, C#, ASP), Mobile Solutions (J2ME, Android),....
PROVIDED-
RESEARCH PAPERS
OBJECTIVES
SYNOPSIS
IMPLEMENTATION
DOCUMENTATION
REPORT WRITING
PAPER PUBLICATION
Visit our website http://www.e2matrix.com.
Address:
Opp.Phagwara Bus Stand, Above Cafe Coffee Day
Handa City Center, Phagwara code-144401
Email-e2matrixphagwara@gmail.com
jalandhare2matrix@gmail.com
CONTACT NUMBER --
09041262727
07508509730
7508509709
9779363902
This document discusses solving systems of linear equations using matrices and conditional statements in MATLAB. It provides an overview of relevant commands like rank(), rref(), inv(), and linsolve(). It then outlines a procedure to check the consistency of a system of linear equations based on the rank of the coefficient matrix A and augmented matrix [A B]. If the ranks are equal, it determines if the solution is unique, infinite, or inconsistent. It presents a MATLAB function that implements this procedure to solve a system of linear equations and return the solution or consistency status.
This document discusses computer programming and algorithms. It defines an algorithm as a set of well-defined computational steps to solve a problem. The key aspects of algorithms are that they take inputs, process them, and produce outputs while being unambiguous and terminating in a finite number of steps. The document outlines conventions for writing algorithms like naming, comments, and steps. It then provides an example algorithm to find the maximum of three numbers and represents it as a flowchart. The document also defines a flowchart as a graphical representation of an algorithm and describes the basic symbols used like rectangles, diamonds, and parallelograms to represent sequences, decisions, repetitions, and cases.
Operators are elements in C# that are applied to operands in expressions or statements. Unary operators take one operand, like increment (++), while binary operators take two operands, such as arithmetic operators (+, -, *, /). The conditional operator (?:) is the sole ternary operator, taking three operands. Some common operators are assignment (=), arithmetic, comparison, conditional (&&, ||), ternary (?:), and null coalescing (??). Operator precedence and associativity determine the order of evaluation in expressions with multiple operators. Parentheses can be used to override precedence.
Scikit-learn is a popular machine learning library for Python that provides simple and efficient tools for data mining and data analysis. It includes algorithms for classification, regression, clustering and dimensionality reduction. The scikit-learn API is designed for consistency, with common estimator, predictor and transformer interfaces that allow algorithms to be used interchangeably. This standardized interface helps users easily try different algorithms and preprocessing techniques for their machine learning tasks.
This document provides an overview of selection structures in programming. It discusses if/then/else statements and how they allow programs to make decisions based on conditions being true or false. Comparison and logical operators are explained which are used to combine conditions. Methods for converting strings to uppercase and lowercase are presented, as well as using selection structures to display different outputs depending on the case of the user's input. The document aims to teach how to write pseudocode, flowcharts, and Visual Basic code to implement selection structures in applications.
Lambda expressions allow implementing anonymous functions more concisely. Interfaces can now contain default and static methods. Streams facilitate functional-style operations on collections of elements. Optional handles null references more gracefully. The Date/Time API replaces the previous Date and Calendar classes. Nashorn allows executing JavaScript code from Java. Various new tools like jdeps were introduced.
This document discusses operators in the C programming language. It defines operators as program elements that are applied to operands in expressions or statements. The main types of operators covered are arithmetic, relational, equality, logical, bitwise, assignment, and conditional operators. For each type of operator, the document provides examples of their usage and precedence rules for evaluating expressions containing multiple operators.
This document provides an introduction and overview of MATLAB (Matrix Laboratory), an interactive program for numerical computation and visualization. It discusses basic MATLAB commands and functions for creating variables and matrices, performing mathematical operations, plotting graphs, and working with polynomials.
The document discusses the different types of operators in C programming language including arithmetic, assignment, relational, logical, bitwise, conditional (ternary), and increment/decrement operators. It provides examples of how each operator is used in C code and what operation they perform on variables and values.
This document provides an overview of MATLAB. It discusses the history and invention of MATLAB, with a focus on how it was created by Cleve Moler at the University of New Mexico to make numerical computing libraries easier to use. The document outlines MATLAB's structure, features, programming capabilities and applications. Key advantages are its accuracy for matrix operations and ability to visualize results. Weaknesses include slower speed as an interpreted language and limited use for general purpose programming.
This document provides examples of how to use WolframAlpha to check work on various algebra topics like graphs, coordinates, factorizing quadratics, completing the square, minimum values of quadratics, solving quadratics and simultaneous equations, and algebraic fractions. It notes that step-by-step solutions require a subscription but WolframAlpha can be used freely for checking answers and generating examples.
This document provides an overview of MATLAB, including its uses, features, and basic programming concepts. MATLAB is a numerical computing environment and programming language that allows matrix manipulations, data visualization, algorithm development, and interfacing with other languages. It has a comprehensive set of built-in functions for mathematical and technical computing. The document discusses MATLAB's programming constructs like scripts, functions, operators, decision making statements, and loops. It also covers basic data types like vectors and matrices.
This document provides details on implementing automatic light switching in LabVIEW. It describes using a light detecting resistor (LDR) that decreases resistance with increasing light intensity. The task is to create a project that turns lights off during daytime and on at night. The front panel includes LEDs representing streetlights and a loop control button. The block diagram uses LEDs, local variables to control the LEDs, a delay timer, flat sequence to perform tasks sequentially, and a while loop controlled by the loop control button to keep performing the tasks. This allows automatically switching the LED streetlights on and off based on the LDR light reading over time.
You'll get everything you need to get started with programming in MATLAB. What you will learn:
-Matrices and Vectors
-2-D Plotting
-User-defined functions
-Logical statements: if-elseif, switch-case
-Looping techniques: for and while loops
-Plus more!
This document provides an overview of how to use WolframAlpha to work with matrices, including how to multiply, subtract, and invert matrices, compute determinants, eigenvalues, and diagonalize matrices, and access definitions and examples of matrix queries. Hyperlinks throughout the document link to WolframAlpha queries for specific matrix examples and operations that can be modified to check your own work.
This is an introduction to MATLAB. It was prepared for 4th grade students at university of Khartoum - surveying engineering department - along with the geometrical geodesy course.
Selection sort is an in-place comparison sorting algorithm where the minimum element from the unsorted section of the list is found and swapped into the sorted position in each pass. It has a time complexity of O(n^2), making it inefficient for large lists, but it is simple to implement and has advantages over more complex algorithms when auxiliary memory is limited. The algorithm divides the input list into a sorted sublist on the left and unsorted sublist on the right. It iterates through the unsorted sublist to find the minimum element and swap it into the sorted position, shrinking the unsorted sublist by one element in each pass until the entire list is sorted.
Operators in C++ perform operations on variables and constants. There are several types of operators including assignment, bitwise, shift, unary, conditional, comma, relational, logical, and mathematical operators. Assignment operators assign values, bitwise operators change bits, shift operators shift bits, and unary operators operate on a single operand. The conditional operator works like a ternary operator. The comma operator strings expressions together and the logical operators combine expressions. Relational operators establish relationships between operands and mathematical operators perform basic math operations.
The document discusses asymptotic analysis of algorithms. It explains that the correctness of an algorithm is not enough, and efficiency must also be considered. The efficiency of an algorithm is measured by its time and space complexity. Time complexity is how long it takes to execute, while space complexity refers to memory usage. Basic operations like addition and comparison are assumed to take constant time. The document analyzes several algorithms to determine their time complexity using Θ notation. It also discusses analyzing nested loops and determining the dominant term to classify complexity.
This document provides an introduction to using MATLAB. It begins with instructions on starting and exiting MATLAB. It then discusses MATLAB's basic functionality for matrix calculations and operations. Subsequent sections cover topics like repeating commands, subscripting matrices, the edit-test-edit cycle for developing code, writing functions and scripts, and input/output in MATLAB including loading/saving data and printing output. Exercises are provided throughout to help readers practice key concepts.
This document provides examples of how to use WolframAlpha to check work by generating solutions and examples for algebra equations, inequalities, changing the subject of formulas, substitution, graphs, simultaneous equations, factorisation, polygons, circles, standard form, and unit conversions. While step-by-step solutions require a subscription, WolframAlpha allows unlimited free queries each day making it suitable for checking answers and exploring multiple examples.
This document provides examples of how WolframAlpha can be used to check work and generate examples across various math and logic topics, including algebra, sequences, series, trigonometry, vectors, geometry, calculus, probability, matrices, and logic. It notes that step-by-step solutions require a subscription but WolframAlpha allows unlimited free queries each day.
Matlab introductory course part 1 with the following agenda:
What is MATLAB
Manipulating Variables
Common Functions for Variables
Good Programming Practices
Matlab introductory course part 4 with the following agenda: Creating M files, User-Defined Functions, Solving Linear Equations, Symbolic Algebra, and Calculus
This document provides an overview of MATLAB programming concepts including:
1) Script and function m-files - Scripts have side effects while functions encapsulate code and use input/output parameters. Functions are preferable to scripts.
2) Flow control - MATLAB supports conditional execution and loops using relational operators and logical indexing. Vectorization avoids for-loops.
3) Input/output - Functions communicate through input and output arguments. disp and fprintf can output text while num2str converts numbers to strings.
4) Other topics - Variable number of arguments, indirect function calls, global variables, and inline functions.
Scikit-learn is a popular machine learning library for Python that provides simple and efficient tools for data mining and data analysis. It includes algorithms for classification, regression, clustering and dimensionality reduction. The scikit-learn API is designed for consistency, with common estimator, predictor and transformer interfaces that allow algorithms to be used interchangeably. This standardized interface helps users easily try different algorithms and preprocessing techniques for their machine learning tasks.
This document provides an overview of selection structures in programming. It discusses if/then/else statements and how they allow programs to make decisions based on conditions being true or false. Comparison and logical operators are explained which are used to combine conditions. Methods for converting strings to uppercase and lowercase are presented, as well as using selection structures to display different outputs depending on the case of the user's input. The document aims to teach how to write pseudocode, flowcharts, and Visual Basic code to implement selection structures in applications.
Lambda expressions allow implementing anonymous functions more concisely. Interfaces can now contain default and static methods. Streams facilitate functional-style operations on collections of elements. Optional handles null references more gracefully. The Date/Time API replaces the previous Date and Calendar classes. Nashorn allows executing JavaScript code from Java. Various new tools like jdeps were introduced.
This document discusses operators in the C programming language. It defines operators as program elements that are applied to operands in expressions or statements. The main types of operators covered are arithmetic, relational, equality, logical, bitwise, assignment, and conditional operators. For each type of operator, the document provides examples of their usage and precedence rules for evaluating expressions containing multiple operators.
This document provides an introduction and overview of MATLAB (Matrix Laboratory), an interactive program for numerical computation and visualization. It discusses basic MATLAB commands and functions for creating variables and matrices, performing mathematical operations, plotting graphs, and working with polynomials.
The document discusses the different types of operators in C programming language including arithmetic, assignment, relational, logical, bitwise, conditional (ternary), and increment/decrement operators. It provides examples of how each operator is used in C code and what operation they perform on variables and values.
This document provides an overview of MATLAB. It discusses the history and invention of MATLAB, with a focus on how it was created by Cleve Moler at the University of New Mexico to make numerical computing libraries easier to use. The document outlines MATLAB's structure, features, programming capabilities and applications. Key advantages are its accuracy for matrix operations and ability to visualize results. Weaknesses include slower speed as an interpreted language and limited use for general purpose programming.
This document provides examples of how to use WolframAlpha to check work on various algebra topics like graphs, coordinates, factorizing quadratics, completing the square, minimum values of quadratics, solving quadratics and simultaneous equations, and algebraic fractions. It notes that step-by-step solutions require a subscription but WolframAlpha can be used freely for checking answers and generating examples.
This document provides an overview of MATLAB, including its uses, features, and basic programming concepts. MATLAB is a numerical computing environment and programming language that allows matrix manipulations, data visualization, algorithm development, and interfacing with other languages. It has a comprehensive set of built-in functions for mathematical and technical computing. The document discusses MATLAB's programming constructs like scripts, functions, operators, decision making statements, and loops. It also covers basic data types like vectors and matrices.
This document provides details on implementing automatic light switching in LabVIEW. It describes using a light detecting resistor (LDR) that decreases resistance with increasing light intensity. The task is to create a project that turns lights off during daytime and on at night. The front panel includes LEDs representing streetlights and a loop control button. The block diagram uses LEDs, local variables to control the LEDs, a delay timer, flat sequence to perform tasks sequentially, and a while loop controlled by the loop control button to keep performing the tasks. This allows automatically switching the LED streetlights on and off based on the LDR light reading over time.
You'll get everything you need to get started with programming in MATLAB. What you will learn:
-Matrices and Vectors
-2-D Plotting
-User-defined functions
-Logical statements: if-elseif, switch-case
-Looping techniques: for and while loops
-Plus more!
This document provides an overview of how to use WolframAlpha to work with matrices, including how to multiply, subtract, and invert matrices, compute determinants, eigenvalues, and diagonalize matrices, and access definitions and examples of matrix queries. Hyperlinks throughout the document link to WolframAlpha queries for specific matrix examples and operations that can be modified to check your own work.
This is an introduction to MATLAB. It was prepared for 4th grade students at university of Khartoum - surveying engineering department - along with the geometrical geodesy course.
Selection sort is an in-place comparison sorting algorithm where the minimum element from the unsorted section of the list is found and swapped into the sorted position in each pass. It has a time complexity of O(n^2), making it inefficient for large lists, but it is simple to implement and has advantages over more complex algorithms when auxiliary memory is limited. The algorithm divides the input list into a sorted sublist on the left and unsorted sublist on the right. It iterates through the unsorted sublist to find the minimum element and swap it into the sorted position, shrinking the unsorted sublist by one element in each pass until the entire list is sorted.
Operators in C++ perform operations on variables and constants. There are several types of operators including assignment, bitwise, shift, unary, conditional, comma, relational, logical, and mathematical operators. Assignment operators assign values, bitwise operators change bits, shift operators shift bits, and unary operators operate on a single operand. The conditional operator works like a ternary operator. The comma operator strings expressions together and the logical operators combine expressions. Relational operators establish relationships between operands and mathematical operators perform basic math operations.
The document discusses asymptotic analysis of algorithms. It explains that the correctness of an algorithm is not enough, and efficiency must also be considered. The efficiency of an algorithm is measured by its time and space complexity. Time complexity is how long it takes to execute, while space complexity refers to memory usage. Basic operations like addition and comparison are assumed to take constant time. The document analyzes several algorithms to determine their time complexity using Θ notation. It also discusses analyzing nested loops and determining the dominant term to classify complexity.
This document provides an introduction to using MATLAB. It begins with instructions on starting and exiting MATLAB. It then discusses MATLAB's basic functionality for matrix calculations and operations. Subsequent sections cover topics like repeating commands, subscripting matrices, the edit-test-edit cycle for developing code, writing functions and scripts, and input/output in MATLAB including loading/saving data and printing output. Exercises are provided throughout to help readers practice key concepts.
This document provides examples of how to use WolframAlpha to check work by generating solutions and examples for algebra equations, inequalities, changing the subject of formulas, substitution, graphs, simultaneous equations, factorisation, polygons, circles, standard form, and unit conversions. While step-by-step solutions require a subscription, WolframAlpha allows unlimited free queries each day making it suitable for checking answers and exploring multiple examples.
This document provides examples of how WolframAlpha can be used to check work and generate examples across various math and logic topics, including algebra, sequences, series, trigonometry, vectors, geometry, calculus, probability, matrices, and logic. It notes that step-by-step solutions require a subscription but WolframAlpha allows unlimited free queries each day.
Matlab introductory course part 1 with the following agenda:
What is MATLAB
Manipulating Variables
Common Functions for Variables
Good Programming Practices
Matlab introductory course part 4 with the following agenda: Creating M files, User-Defined Functions, Solving Linear Equations, Symbolic Algebra, and Calculus
This document provides an overview of MATLAB programming concepts including:
1) Script and function m-files - Scripts have side effects while functions encapsulate code and use input/output parameters. Functions are preferable to scripts.
2) Flow control - MATLAB supports conditional execution and loops using relational operators and logical indexing. Vectorization avoids for-loops.
3) Input/output - Functions communicate through input and output arguments. disp and fprintf can output text while num2str converts numbers to strings.
4) Other topics - Variable number of arguments, indirect function calls, global variables, and inline functions.
This document provides an overview of MATLAB, its applications, and how to use its features. MATLAB can be used for numerical computation and was originally designed for matrix operations. It has since expanded to include tools for data analysis, signal processing, optimization, and more. The document describes MATLAB's basic interface and commands, how to work with matrices and vectors, perform math operations and logical operations, plot functions, write M-files and functions, and save and load work. It also briefly mentions Simulink for modeling and simulating dynamic systems.
Operators and expressions are fundamental concepts in Python programming. The document discusses various types of operators used to manipulate operands, including arithmetic, comparison, assignment, logical, bitwise, and membership operators. It also covers expressions, which are combinations of operators and operands that evaluate to a value. Several types of expressions are described, such as constant, arithmetic, integral, floating, relational, logical, bitwise, and combinational expressions. Control flow statements like if, if-else, if-elif-else are also covered, along with looping using for and while loops and the break, continue, and pass statements.
This document provides a 3 sentence summary of a short term training program on Matlab for beginners:
The training program covers basic Matlab topics like the desktop interface, variables, arithmetic operations, matrices and arrays. It explains how to create and manipulate numeric data, perform common operations element-wise and on whole matrices, and generate matrices using functions. The document also demonstrates how to index and slice arrays to access subsets of elements and concatenate arrays horizontally and vertically.
This document provides an introduction and overview of MATLAB. It discusses what MATLAB is, its main features and interfaces. Some key points covered include:
- MATLAB is a computing environment for doing matrix manipulations, calculations and data analysis. It has specialized toolboxes for tasks like signal processing and system analysis.
- The main interfaces are the command window, workspace, command history and editor window. Commands can be executed directly, through script files or custom functions.
- MATLAB handles matrices and vectors natively and has extensive math and graphics functions. Basic operations include matrix/vector creation, arithmetic, plotting and flow control structures.
- Help is available through the help menu, demos and documentation. Common functions covered
An algorithm is a well-defined set of steps to solve a problem in a finite amount of time. The complexity of an algorithm measures the time and space required for inputs of different sizes. Time complexity indicates the running time, while space complexity measures storage usage. These complexities can be analyzed before and after implementation using asymptotic notations like Big-O, Omega, and Theta to determine worst-case, best-case, and average-case efficiencies. Proper algorithm design considers factors like understandability, efficiency, and resource usage.
An algorithm is a well-defined set of steps to solve a problem in a finite amount of time. The complexity of an algorithm measures the time and space required for inputs of different sizes. Time complexity indicates the running time, while space complexity measures storage usage. Analyzing algorithms involves determining their asymptotic worst-case, best-case, and average-case time complexities using notations like Big-O, Omega, and Theta. This provides insights into an algorithm's efficiency under different conditions.
This document discusses MATLAB and provides examples of generating common discrete time signals such as unit impulse, unit step, ramp, exponential and sawtooth signals. MATLAB is an interpreted language well-suited for matrix manipulation and contains built-in functions. Typical uses include math, modelling, data analysis and visualization. Scripts allow executing a series of commands and signals can be plotted versus time or index.
Scanf() is a function used to read input from the keyboard in C programs. It works similarly to printf() but reads input instead of writing output. Scanf() uses format specifiers in a control string to read input into variables. Common format specifiers include %d for integers, %f for floats, and %s for strings. Loops like for, while, and do-while can be used to repeat a block of code a specified number of times to perform tasks like calculating triangle numbers or factorials.
MATLAB is a powerful programming language for technical computing. It allows matrix manipulation, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs in other languages. Some key features of MATLAB include its matrix-based data structure, built-in math and engineering functions, programming tools for algorithm development and testing, and integrated development environment. MATLAB also provides tools for debugging and optimizing code performance such as breakpoints, stepping through code, and the profiler.
The document discusses different types of loops in Python including while loops, for loops, and infinite loops. It provides examples of using while loops to iterate until a condition is met, using for loops to iterate over a set of elements when the number of iterations is known, and how to terminate loops early using break or skip iterations using continue. It also discusses using the range() function to generate a sequence of numbers to iterate over in for loops.
This document provides an overview of MATLAB basics including:
- MATLAB syntax and variables - commands are executed immediately and results returned
- Common operators like % for comments and ; to suppress output
- Special variables like ans, eps, i, Inf, NaN, pi
- Defining and naming variables - they must be assigned before use
- Creating vectors and matrices - row vectors use spaces/commas, column uses semicolons
- Basic math operations on vectors and matrices
This document provides an outline and overview of topics that will be covered in an introduction to MATLAB and Simulink course over 4 sections. Section I will cover background, basic syntax and commands, linear algebra, and loops. Section II will cover graphing/plots, scripts and functions. Section III will cover solving linear and systems of equations and solving ODEs. Section IV will cover Simulink. The document provides examples of content that will be covered within each section, such as plotting functions, solving systems of equations using matrices, and numerically and symbolically solving ODEs.
Aaa ped-23-Artificial Neural Network: Keras and TensorfowAminaRepo
We will focus in this part on two important libraries for ANN: Tensorflow and Keras. Both of them propose two types of model creation. We will use the high level API of tenshorflow, and the sequential models of Keras.
We will introduce you to some basic important concept related to tensorflow, and we will present you tensorboard. The later one is used to visualize, among other things, quantitative values related to a training process.
[Notebook](https://colab.research.google.com/drive/13KlhoNvYmeRZTZ-TLKAtW3rOkFzQVGYC)
This document discusses various data types in C programming language. It begins by defining what a data type is and then provides examples of common data types like char, int, float, and double. It explains that each data type requires a different amount of memory and has an associated range for storing values. The document then provides a table listing the typical ranges and memory requirements for each data type on a 32-bit compiler. It also includes an example C program demonstrating the usage of different data types.
The word Algorithm means “a process or set of rules to be followed in calculations or other problem-solving operations”.
flowchart is a type of diagram that represents an algorithm, workflow or process.
This document provides an introduction to algorithm analysis and design. It defines what an algorithm is and lists some key properties it should have like being unambiguous, having a finite number of steps, and terminating. It discusses different ways to specify algorithms using natural language, flowcharts, or pseudocode. It also covers analyzing algorithm efficiency in terms of time and space complexity and introduces common asymptotic notations used like Big O, Big Omega, and Big Theta notation.
Supermarket Management System Project Report.pdfKamal Acharya
Supermarket management is a stand-alone J2EE using Eclipse Juno program.
This project contains all the necessary required information about maintaining
the supermarket billing system.
The core idea of this project to minimize the paper work and centralize the
data. Here all the communication is taken in secure manner. That is, in this
application the information will be stored in client itself. For further security the
data base is stored in the back-end oracle and so no intruders can access it.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.
We have designed & manufacture the Lubi Valves LBF series type of Butterfly Valves for General Utility Water applications as well as for HVAC applications.
Open Channel Flow: fluid flow with a free surfaceIndrajeet sahu
Open Channel Flow: This topic focuses on fluid flow with a free surface, such as in rivers, canals, and drainage ditches. Key concepts include the classification of flow types (steady vs. unsteady, uniform vs. non-uniform), hydraulic radius, flow resistance, Manning's equation, critical flow conditions, and energy and momentum principles. It also covers flow measurement techniques, gradually varied flow analysis, and the design of open channels. Understanding these principles is vital for effective water resource management and engineering applications.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Sri Guru Hargobind Ji - Bandi Chor Guru.pdfBalvir Singh
Sri Guru Hargobind Ji (19 June 1595 - 3 March 1644) is revered as the Sixth Nanak.
• On 25 May 1606 Guru Arjan nominated his son Sri Hargobind Ji as his successor. Shortly
afterwards, Guru Arjan was arrested, tortured and killed by order of the Mogul Emperor
Jahangir.
• Guru Hargobind's succession ceremony took place on 24 June 1606. He was barely
eleven years old when he became 6th Guru.
• As ordered by Guru Arjan Dev Ji, he put on two swords, one indicated his spiritual
authority (PIRI) and the other, his temporal authority (MIRI). He thus for the first time
initiated military tradition in the Sikh faith to resist religious persecution, protect
people’s freedom and independence to practice religion by choice. He transformed
Sikhs to be Saints and Soldier.
• He had a long tenure as Guru, lasting 37 years, 9 months and 3 days
4. User Defined Input
■ This is mainly when the
program deals with a person
other than the programmer.
■ Using the command ‘input’:
▪ It can be a scalar
▪ It can be a matrix
▪ It can be a string:
• Having this ‘s’ as a parameter , means
that you don’t have to insert the string
in a single quotation
5. Output
■ Using the command ‘disp()’
■ If you want to include the apostrophe , you have to use it twice unless
MATLAB will interpret it as terminating the string.
6. Try this:
■ You can use a combination of the ‘input’ and ‘disp’
functions to mimic a conversation.
Try this using
an M-file
7. Formatted Output
■ fprintf A function controls the output and adjust its
format.
• General form:
fprintf( format setting , variable….)
• % is a place holder for the variable and the variable is
specified later.
You can’t hold
a place by just
using ‘%’, a
formatting style
must be used
8. Formatting the Output
■ To insert new line , use (‘n’)
Type
Field
Result
%f Fixed-point notation
%e Exponential notation
%d Decimal notation( doesn’t include trailing
zeros
%g Whichever is shorter , %f or %e
%c Character information( one character at a
time
%s String of characters( the entire string)
Format
command
Result
n linefeed
r Carriage return
t Tab
b backspace
9. Formatting the Output
■ Adjusting the precision :
■ If a variable is a two dimensional matrix , MATLAB uses the values one
column at a time.
■ Try this , What do you notice?
8.4 reserves a place
for 8 digits 4 of them
are decimals
10. Formatting Output
■ To output in a file , you first have to create a file
,open an output file and assign an identifier to it.
■ If you want to include a ‘%’ in an fprintf function ,
you must use it twice unless MATLAB will interpret
it as a place holder.
identifier Function that opens a
file
File’s name Write data to the file
The output in the file
12. Relation & Logical Operators
■ MATLAB uses number 1 for true and 0
for false ( actually it takes any non zero
number as true)
■ Notice the difference between ==(equal operator) and
= (assignment operator).
Relational
Operator
Interpretation
< Less than
<= Less than or equal
> Greater than
>= Greater than or equal to
== Equal to
~= Not equal to
13. Relation & Logical Operators
Logical
Operator
Interpretation
& And
~ Not
| Or
xor Exclusive or
&& And (with scalars)
|| Or (with scalars)
■ The difference between & and
&& is that && is used for
scalar quantities only.
■ & is used for expressions.
14. Logical Functions
Find
■ find Searches a matrix and
identifies which element in that
matrix meets a given condition.
■ Try this:
Indexes
Elements
Try this using
an M-file
15. Practice:
𝑥 =
1 10 42
5 8 78
56 45 9
6
23
13
y =
1 2 3
4 10 12
7 21 27
z = 10 22 5 13
23 22 8 9
• Find the elements in each matrix that are greater than 10.
• Find the row and column numbers for elements in each matrix that contains
values greater than 10 and less than 40.
• Find the values in each matrix that are greater than 10 and less than 40.
• Use the length command together with results from the find command to
determine how many values in each matrix are between 0 and 10 or
between 70 and 80.
• Define the following matrices:
17. Selection Structures
■ This structure allows us to execute a series of
statements if the condition is true , and skip
those steps if the condition is false.
■ If x is a matrix ( x = 0:0.5:2;) , ‘if’ statement is
true only ,if it is true for every element in the
matrix.
• Hint :
MATLAB includes a function called ‘beep’ that causes the
computer to “beep” at the user.
18. Selection Structures
■ This structure allows us to check multiple criteria while
keeping the code easy to read.
■ Remember that : if age is a matrix , every condition is true for
all the elements evaluates to true.
Try to change
age and notice
the result
19. Practice:
■ Try this:
■ Grading Marks:
• Prompt the user to enter the mark
• Check the mark based on the mark table
• Display the mark
Mark Grade
90 to 100 A
80 to 90 B
70 to 80 C
60 to 70 D
Less than 60 F
20. Selection Structures
Switch
■ This structure allows you to choose between multiple
outcomes , based on some criteria.
■ General form:
Switch variable
case option1
code for option 1 if true
case option2
code for option 2 if true
otherwise
code to be executed if non of the cases were true
end
22. Basic Parts for a Loop
■ Parameter used to terminate the loop.
■ Initialization of the parameter.
■ Process that changes the parameter at each iteration.
( unless it becomes unstoppable )
■ Comparison –using the parameter –to a certain condition to
decide when to end the loop.
■ Calculation inside the loop
Initialize a
parameter
Condition
for the
loop
start
calculation
23. Types of Loops
■ For loop When you know how many times of
operations’ iterations to repeat the loop.
■ While loop It repeats the instructions till a certain
condition is met.
■ Midpoint break loop It is useful for situations where the
commands in the loop must be executed at least once ,till
some condition is met.
Remember in
C++ the do-while
loop?
24. For Loop:
■ General form:
for index = [ matrix]
commands to be executed
end
■ If k (the index) is a matrix,
MATLAB uses an entire column as
the index each time through the
loop.
■ Hint : once you have completed the
for loop , the index k retains the
last value used.
• For example if the loop repeated 5 times
, after breaking out of it k will be 5
K is a matrix ,
but at each
iteration ,it
takes one value
only.
New element is
added to the
matrix each
time
25. Practice:
■ A list of test scores , count the number of students above 90.
Ex :
■ Calculate the factorial with a for loop.
■ Use a counter to find how many values greater than 30 , x = [ 45,23,17,34,85,33].
■ Repeat the above exercise with the find command.
■ Use a for loop to sum the elements of x , check your result with the sum function.
26. While Loop:
■ General form:
while condition
commands to be executed
end
■ Hint :
• The variable used to control the
while loop must be updated every
time through the loop. If not,
you‘ll generate an infinite loop.
• In case of instructions that may
take a lot of time to be executed,
you can always exit the
calculation of a loop manually ,
type ctrl+c
27. Practice:
■ Consider x = [ 43 ,29 , 16 , 32, 85, 37] , use a while loop to
count how many values that are greater than 35.
■ Use a while to sum the elements in x.
■ Use a while loop to create a vector containing 10 elements
as shown:
Τ
1
1 , Τ
1
2 , Τ
1
3 , Τ
1
4 ……….. Τ
1
10
■ Use a while loop to create a vector containing 10 elements
as shown:
Τ
1
1 , Τ
−1
2 , Τ
1
3 , Τ
−1
4 ……….. Τ
−1
10
28. Break and Continue:
■ break Used to terminate a
loop permanently even if the
comparison is still true.
■ continue Used to ignore the
current iteration and continues
with the loop.
29. Midpoint Break Loop:
■ In this structure , the loop is
entered , calculations are
processed , and a decision is
made at some arbitrary point to
exit the loop.
■ The loop must be executed at
least once.
1 indicates
true, while
the
condition is
always true
The loop is
executed once
Or it will keep running until the
condition of num_candy <0 is false
You break
from a mid
point in the
loop
30. Nested Loops:
■ Examine the following
example:
• A loop for finding the sum of
every column in a matrix.
■ Hint :
• To know how much time your
calculations take to be
complete you can you the
command :
tic – toc
tic before
the instructions
toc after the
instructions