The document discusses queues as an abstract data type and common implementations using arrays and linked lists. Queues follow a first-in, first-out (FIFO) ordering and can be used for applications like buffers and scheduling. The chapter covers designing queue classes, linked queue implementations, and using queues in simulations like modeling call centers.
This document discusses lists as an abstract data type and various implementations of lists in C++. It covers array-based and linked list implementations. For array-based lists, it describes static and dynamic allocation approaches. For linked lists, it explains how to implement them using nodes with pointer links between elements and the operations needed for insertion, deletion and traversal. It also discusses the advantages and disadvantages of the different list implementations.
Streaming Random Forest Learning in Spark and StreamDM with Heitor Murilogome...Databricks
Ìý
This document discusses machine learning for streaming data and summarizes the Streaming Random Forest algorithm and its implementation in Spark and StreamDM. It begins with an introduction to the speaker and definitions of key concepts like data streams, batch vs streaming data, and concept drift. It then describes the Streaming Decision Tree algorithm and how Streaming Random Forest extends it with online bagging and random feature selection. The document demonstrates implementations in MLLib and StreamDM and shows results on electricity and covertype datasets. It concludes with future directions for StreamDM, algorithms, and performance improvements.
The chapter discusses dynamic arrays in C++. Dynamic arrays allow arrays to grow and shrink in size at runtime using commands like new and delete. new allocates memory for an array, while delete frees the memory. Structures are also introduced as a way to create custom data types that can group multiple data attributes together. Arrays of structures provide a way to work with collections of complex objects.
CHI 2014 talk by Antti Oulasvirta: Automated Nonlinear Regression Modeling fo...Aalto University
Ìý
This document proposes an automated method for acquiring nonlinear regression models to support model building in human-computer interaction research. It focuses on using automated nonlinear regression modeling to generate models that fit datasets, building on prior work in symbolic programming. The goal is to address the inefficiencies of manual exploration of large model spaces by iteratively searching the space of possible models using a dataset to find high-quality fitting models. If successful, the approach could help with applications like engineering performance models, developing adaptive interfaces, and optimizing interface designs.
The document discusses MATLAB, an numerical computing environment and programming language. It provides an introduction to MATLAB, describing its origins and uses. It also outlines some key MATLAB elements like variables, matrices, loading and saving data, and the MATLAB programming language. The document concludes by discussing some MATLAB functions and advantages/disadvantages of the software.
Standardizing on a single N-dimensional array API for PythonRalf Gommers
Ìý
MXNet workshop Dec 2020 presentation on the array API standardization effort ongoing in the Consortium for Python Data API Standards - see data-apis.org
This document discusses queues as an abstract data structure. It explains that queues are opened at both ends, with one end for insertion (enqueue) and the other for removal (dequeue), following a First-In-First-Out (FIFO) approach. Real-world examples of queues include lines at ticket windows and bus stops. The document then covers queue representation using arrays or linked lists, basic queue operations like enqueue, dequeue, peek, isfull and isempty, and provides pseudocode algorithms for implementing these operations.
Aspect-oriented programming with AspectJ (as part of the the PTT lecture)Ralf Laemmel
Ìý
Aspect-oriented programming (AOP) allows programmers to modularize crosscutting concerns. Logging is a common example of a crosscutting concern that can be implemented using AOP. In AspectJ, an AOP extension to Java, aspects are used to encapsulate crosscutting concerns. Advice such as before and after advice can be used to add behavior at certain join points, such as method calls and executions. This avoids tangling code for crosscutting concerns throughout multiple classes.
This document provides an overview of key concepts for using Matlab including: installing Matlab, becoming familiar with its interface and basic functions, manipulating matrices through operations like summation and multiplication, using trigonometric functions, and plotting curves and multiple curves on the same graph. It discusses components of the Matlab program, using help features, performing arithmetic on scalars and matrices, and generating matrixes. The goal is to introduce basic Matlab functionality and capabilities.
An adaptive algorithm for detection of duplicate recordsLikan Patra
Ìý
The document proposes an adaptive algorithm for detecting duplicate records in a database. The algorithm hashes each record to a unique prime number. It then divides the product of prior prime numbers by the new record's prime number. If it divides evenly, the record is duplicate. Otherwise, it is distinct and the product is updated with the new prime number, making the algorithm adaptive. The algorithm aims to reduce duplicate detection costs while maintaining scalability and caching prior records.
Parallel algorithms can be specifically written to execute on computers with multiple processing units. When designing parallel algorithms, the cost of communication and number of processors must be considered. Parallel algorithms are often modeled using the parallel random-access machine (PRAM) model, which simplifies issues like synchronization and communication. Common parallel algorithms include matrix multiplication, merge sort, and shortest path algorithms like Floyd's algorithm.
This document discusses frequent pattern mining algorithms. It describes the Apriori, AprioriTid, and FP-Growth algorithms. The Apriori algorithm uses candidate generation and database scanning to find frequent itemsets. AprioriTid tracks transaction IDs to reduce scans. FP-Growth avoids candidate generation and multiple scans by building a frequent-pattern tree. It finds frequent patterns by mining the tree.
The document discusses object-oriented programming (OOP) concepts like classes, objects, and class members. It provides an example of a Time class with private data members and public member functions. It covers class constructors, overloaded functions, default arguments, copy operations, pointers to classes, and the this pointer. The example shows creating a Student class with an ID member and functions to get input, compare IDs, and sort an array of Student objects by ID.
The document discusses different implementations of lists as abstract data types (ADTs), including array-based and linked lists. It covers the basics of lists as ADTs, various operations on lists like insertion and deletion, and implementations using static arrays, dynamic arrays, and linked nodes in memory connected through pointers. The key advantages and disadvantages of each approach are described.
The document discusses abstract data types (ADTs) and data structures in C++. It covers arrays as ADTs implemented as static and dynamic arrays using pointers. Dynamic arrays use new and delete operators to allocate and free memory at runtime. Structures are introduced as a way to create new data types that have multiple attributes and can model objects. An example shows an array of structures to store information about animals in a zoo.
This document discusses stacks and queues as data structures. It begins by explaining what a stack is, noting that a stack follows last-in, first-out ordering. It then provides an analogy using mail delivery to explain the stack concept. The document goes on to provide Java code examples for implementing a stack. It also gives examples of using a stack to reverse a word and check balanced parentheses. Next, the document defines queues as first-in, first-out data structures and provides Java code for implementing a queue. It concludes by explaining how stacks can be used to parse arithmetic expressions by first converting them to postfix notation.
This chapter discusses object-oriented programming (OOP) and abstract data types (ADTs) using C++ classes. It contrasts procedural with object-oriented programming, explaining how classes are used in C++ to define new types. The chapter then covers class constructors, overloaded operators, and pointers to class objects. It provides an example of a Time class that implements a time ADT as an illustration.
The document discusses binary search trees (BSTs), including their basic operations like searching, inserting, and deleting nodes. It describes how BSTs are implemented using linked representations with nodes containing data and pointers to left and right child nodes. Searches start at the root and recursively move left or right depending on if the target value is less than or greater than the current node's value. Insertion and deletion of nodes require modifying the tree structure while maintaining its binary search tree properties.
The document discusses binary search trees (BSTs), including their basic operations like searching, inserting, and deleting nodes. It describes how BSTs are implemented using linked representations with nodes containing data and pointers to left and right child nodes. The key operations like search, insert, and remove are implemented recursively by traversing the tree and maintaining the BST property.
This document discusses queues and their implementation using data structures in C++. It covers:
1) Defining queues and their operations of insertion at the rear and deletion at the front.
2) Implementing queues using arrays and avoiding their drawbacks using circular queues.
3) Other applications that use queues like simulation, job scheduling, and priority queues.
4) Different queue implementations like multi-queue, deque, and priority queue data structures.
The document discusses a presentation on auto tensor optimization and TVM. It introduces machine learning approaches for learning to optimize tensor programs, including formalizing the problem, proposing an ML framework to solve it, and accelerating optimization by 2-10x using transfer learning. It then provides an overview of autoTVM, including its statistical cost model and objective function, exploration module, and using transfer learning for acceleration.
This document discusses different programming paradigms including imperative, object-oriented, and functional programming. It provides examples of languages that use each paradigm such as C, C++, and Java for imperative, object-oriented, and functional programming respectively. The document also covers the evolution of programming paradigms over time from procedural to object-oriented programming using the example of moving from C to C++. It discusses how different paradigms address problems with previous approaches through concepts like encapsulation and inheritance.
This document provides a cheat sheet on vector and matrix operations, time series analysis functions, modeling functions, and plotting functions in R. It includes the basic syntax for constructing and selecting vectors and matrices, as well as functions for time series decomposition, modeling, testing, and plotting time series data. Examples are given for accessing Quandl data and plotting it using ggplot2.
This document discusses queues as an abstract data structure. It explains that queues are opened at both ends, with one end for insertion (enqueue) and the other for removal (dequeue), following a First-In-First-Out (FIFO) approach. Real-world examples of queues include lines at ticket windows and bus stops. The document then covers queue representation using arrays or linked lists, basic queue operations like enqueue, dequeue, peek, isfull and isempty, and provides pseudocode algorithms for implementing these operations.
Aspect-oriented programming with AspectJ (as part of the the PTT lecture)Ralf Laemmel
Ìý
Aspect-oriented programming (AOP) allows programmers to modularize crosscutting concerns. Logging is a common example of a crosscutting concern that can be implemented using AOP. In AspectJ, an AOP extension to Java, aspects are used to encapsulate crosscutting concerns. Advice such as before and after advice can be used to add behavior at certain join points, such as method calls and executions. This avoids tangling code for crosscutting concerns throughout multiple classes.
This document provides an overview of key concepts for using Matlab including: installing Matlab, becoming familiar with its interface and basic functions, manipulating matrices through operations like summation and multiplication, using trigonometric functions, and plotting curves and multiple curves on the same graph. It discusses components of the Matlab program, using help features, performing arithmetic on scalars and matrices, and generating matrixes. The goal is to introduce basic Matlab functionality and capabilities.
An adaptive algorithm for detection of duplicate recordsLikan Patra
Ìý
The document proposes an adaptive algorithm for detecting duplicate records in a database. The algorithm hashes each record to a unique prime number. It then divides the product of prior prime numbers by the new record's prime number. If it divides evenly, the record is duplicate. Otherwise, it is distinct and the product is updated with the new prime number, making the algorithm adaptive. The algorithm aims to reduce duplicate detection costs while maintaining scalability and caching prior records.
Parallel algorithms can be specifically written to execute on computers with multiple processing units. When designing parallel algorithms, the cost of communication and number of processors must be considered. Parallel algorithms are often modeled using the parallel random-access machine (PRAM) model, which simplifies issues like synchronization and communication. Common parallel algorithms include matrix multiplication, merge sort, and shortest path algorithms like Floyd's algorithm.
This document discusses frequent pattern mining algorithms. It describes the Apriori, AprioriTid, and FP-Growth algorithms. The Apriori algorithm uses candidate generation and database scanning to find frequent itemsets. AprioriTid tracks transaction IDs to reduce scans. FP-Growth avoids candidate generation and multiple scans by building a frequent-pattern tree. It finds frequent patterns by mining the tree.
The document discusses object-oriented programming (OOP) concepts like classes, objects, and class members. It provides an example of a Time class with private data members and public member functions. It covers class constructors, overloaded functions, default arguments, copy operations, pointers to classes, and the this pointer. The example shows creating a Student class with an ID member and functions to get input, compare IDs, and sort an array of Student objects by ID.
The document discusses different implementations of lists as abstract data types (ADTs), including array-based and linked lists. It covers the basics of lists as ADTs, various operations on lists like insertion and deletion, and implementations using static arrays, dynamic arrays, and linked nodes in memory connected through pointers. The key advantages and disadvantages of each approach are described.
The document discusses abstract data types (ADTs) and data structures in C++. It covers arrays as ADTs implemented as static and dynamic arrays using pointers. Dynamic arrays use new and delete operators to allocate and free memory at runtime. Structures are introduced as a way to create new data types that have multiple attributes and can model objects. An example shows an array of structures to store information about animals in a zoo.
This document discusses stacks and queues as data structures. It begins by explaining what a stack is, noting that a stack follows last-in, first-out ordering. It then provides an analogy using mail delivery to explain the stack concept. The document goes on to provide Java code examples for implementing a stack. It also gives examples of using a stack to reverse a word and check balanced parentheses. Next, the document defines queues as first-in, first-out data structures and provides Java code for implementing a queue. It concludes by explaining how stacks can be used to parse arithmetic expressions by first converting them to postfix notation.
This chapter discusses object-oriented programming (OOP) and abstract data types (ADTs) using C++ classes. It contrasts procedural with object-oriented programming, explaining how classes are used in C++ to define new types. The chapter then covers class constructors, overloaded operators, and pointers to class objects. It provides an example of a Time class that implements a time ADT as an illustration.
The document discusses binary search trees (BSTs), including their basic operations like searching, inserting, and deleting nodes. It describes how BSTs are implemented using linked representations with nodes containing data and pointers to left and right child nodes. Searches start at the root and recursively move left or right depending on if the target value is less than or greater than the current node's value. Insertion and deletion of nodes require modifying the tree structure while maintaining its binary search tree properties.
The document discusses binary search trees (BSTs), including their basic operations like searching, inserting, and deleting nodes. It describes how BSTs are implemented using linked representations with nodes containing data and pointers to left and right child nodes. The key operations like search, insert, and remove are implemented recursively by traversing the tree and maintaining the BST property.
This document discusses queues and their implementation using data structures in C++. It covers:
1) Defining queues and their operations of insertion at the rear and deletion at the front.
2) Implementing queues using arrays and avoiding their drawbacks using circular queues.
3) Other applications that use queues like simulation, job scheduling, and priority queues.
4) Different queue implementations like multi-queue, deque, and priority queue data structures.
The document discusses a presentation on auto tensor optimization and TVM. It introduces machine learning approaches for learning to optimize tensor programs, including formalizing the problem, proposing an ML framework to solve it, and accelerating optimization by 2-10x using transfer learning. It then provides an overview of autoTVM, including its statistical cost model and objective function, exploration module, and using transfer learning for acceleration.
This document discusses different programming paradigms including imperative, object-oriented, and functional programming. It provides examples of languages that use each paradigm such as C, C++, and Java for imperative, object-oriented, and functional programming respectively. The document also covers the evolution of programming paradigms over time from procedural to object-oriented programming using the example of moving from C to C++. It discusses how different paradigms address problems with previous approaches through concepts like encapsulation and inheritance.
This document provides a cheat sheet on vector and matrix operations, time series analysis functions, modeling functions, and plotting functions in R. It includes the basic syntax for constructing and selecting vectors and matrices, as well as functions for time series decomposition, modeling, testing, and plotting time series data. Examples are given for accessing Quandl data and plotting it using ggplot2.
This document discusses queues as a data structure. It defines queues as lists that only allow insertions at one end and deletions at the other end, following a First-In First-Out (FIFO) ordering. Common queue operations like add, remove, and peek are introduced. Examples of queues in computer science and real world are provided, like print job queues and lines. Implementations of queues using arrays and linked lists are briefly described.
Georgia Tech: Performance Engineering - Queuing Theory and Predictive ModelingBrian Wilson
Ìý
This is one lecture in a semester long course \'CS4803EPR\' I put together and taught at Georgia Tech, entitled "Enterprise Computing Performance Engineering"
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Performance Engineering Overview - Part 2…
Queuing Theory Overview
Early life-cycle performance modeling
Simple Distributed System Model
Sequence Diagrams
Accelerating the Development of Efficient CP Optimizer ModelsPhilippe Laborie
Ìý
The IBM Constraint Programming optimization system CP Optimizer was designed to provide automatic search and a simple modeling of discrete optimization problems, with a particular focus on scheduling applications. It is used in industry for solving operational planning and scheduling problems. We will give an overview of CP Optimizer and then describe in further detail a set of features such as input/output file format, warm-start or conflict refinement that help accelerate the development of efficient models.
The document provides an overview of RapidRMA software, describing its capabilities for modeling and analyzing real-time systems to check schedulability and prevent timing issues. RapidRMA allows defining system resources and tasks, analyzing models using different scheduling algorithms, and importing data from other tools. It has been used successfully in industry for over 20 years.
Project management involves planning, scheduling, and risk management activities. Planning involves establishing constraints, assessing parameters, defining milestones and deliverables, and revising estimates. Scheduling uses techniques like bar charts and activity networks to breakdown tasks, dependencies, and allocate staff. Risk management identifies potential risks, analyzes their likelihood and impact, and develops plans to avoid or minimize risks.
The document discusses critical systems where failures can have severe consequences. It defines four dimensions of dependability - availability, reliability, safety, and security. Development methods for critical systems aim to avoid mistakes, detect and remove errors, and limit damage from failures. The dependability of a system reflects how much users trust that it will operate as expected without failures.
1. A socio-technical system includes technical components like hardware and software as well as people and organizational processes. It has emergent properties that depend on the relationships between components and cannot be understood by examining individual parts alone.
2. Systems engineering involves specifying, designing, developing, and testing socio-technical systems through processes like requirements definition, system design, sub-system development, and integration. It must account for human and organizational factors.
3. Legacy systems refer to existing socio-technical systems that are crucial but use outdated technology. They constrain business processes and are costly to maintain.
This document provides an introduction to software engineering, including its objectives, topics covered, and answers to frequently asked questions. It discusses what software engineering is, costs associated with software, and differences between software engineering, computer science, and system engineering. It also covers software processes, methods, challenges, and the importance of professional responsibility and ethics in software engineering.
The document introduces software process models and describes three generic models: waterfall, evolutionary development, and component-based development. It also covers the Rational Unified Process model and discusses how computer-aided software engineering (CASE) tools can support software processes. Key activities like requirements, design, implementation, testing, and evolution are defined.
This document discusses systems analysis and simulation. It defines a system as a collection of elements that work together to achieve a goal. There are two main types of systems: discrete systems where state variables change at separate points in time, and continuous systems where state variables change continuously over time. A model represents a system in order to study it, as experimenting directly with the real system may not be possible or wise. Simulation models can be static or dynamic, deterministic or stochastic, discrete or continuous. Discrete-event simulation specifically models systems as they progress through time as a series of instantaneous events.
The document discusses linked lists and their implementation. It defines linked lists as lists where nodes are linked together by pointers rather than being stored in contiguous memory locations. Dynamic linked lists use nodes allocated dynamically on the heap. The key operations for linked lists are traversing the list by following node pointers, inserting nodes at the front or elsewhere by allocating new nodes and updating pointers, and deleting nodes by updating pointers and deallocating nodes. Sorted lists maintain the nodes in sorted order according to some comparison criterion.
The document discusses data structures and abstract data types, specifically arrays. It defines arrays as structured data types that store a collection of elements of the same type that can be accessed by their position. It provides examples of declaring and initializing single-dimensional arrays in C++ and passing arrays as arguments to functions. It also briefly discusses multidimensional arrays.
The document discusses data structures and abstract data types. It introduces arrays as a data structure and abstract data type. Arrays allow storing a collection of data elements of the same type that can be accessed via an index. The document covers declaring, initializing, accessing, and passing single-dimensional arrays to functions in C++. It also briefly mentions multidimensional arrays.
The document discusses data structures and their importance in organizing data efficiently for computer programs. It defines what a data structure is and how choosing the right one can improve a program's performance. Several examples are provided to illustrate how analyzing a problem's specific needs guides the selection of an optimal data structure.
Prelims of Kaun TALHA : a Travel, Architecture, Lifestyle, Heritage and Activism quiz, organized by Conquiztadors, the Quiz society of Sri Venkateswara College under their annual quizzing fest El Dorado 2025.
How to Manage Putaway Rule in Odoo 17 InventoryCeline George
Ìý
Inventory management is a critical aspect of any business involved in manufacturing or selling products.
Odoo 17 offers a robust inventory management system that can handle complex operations and optimize warehouse efficiency.
How to Setup WhatsApp in Odoo 17 - Odoo ºÝºÝߣsCeline George
Ìý
Integrate WhatsApp into Odoo using the WhatsApp Business API or third-party modules to enhance communication. This integration enables automated messaging and customer interaction management within Odoo 17.
Reordering Rules in Odoo 17 Inventory - Odoo ºÝºÝߣsCeline George
Ìý
In Odoo 17, the Inventory module allows us to set up reordering rules to ensure that our stock levels are maintained, preventing stockouts. Let's explore how this feature works.
Computer Network Unit IV - Lecture Notes - Network LayerMurugan146644
Ìý
Title:
Lecture Notes - Unit IV - The Network Layer
Description:
Welcome to the comprehensive guide on Computer Network concepts, tailored for final year B.Sc. Computer Science students affiliated with Alagappa University. This document covers fundamental principles and advanced topics in Computer Network. PDF content is prepared from the text book Computer Network by Andrew S. Tenanbaum
Key Topics Covered:
Main Topic : The Network Layer
Sub-Topic : Network Layer Design Issues (Store and forward packet switching , service provided to the transport layer, implementation of connection less service, implementation of connection oriented service, Comparision of virtual circuit and datagram subnet), Routing algorithms (Shortest path routing, Flooding , Distance Vector routing algorithm, Link state routing algorithm , hierarchical routing algorithm, broadcast routing, multicast routing algorithm)
Other Link :
1.Introduction to computer network - /slideshow/lecture-notes-introduction-to-computer-network/274183454
2. Physical Layer - /slideshow/lecture-notes-unit-ii-the-physical-layer/274747125
3. Data Link Layer Part 1 : /slideshow/lecture-notes-unit-iii-the-datalink-layer/275288798
Target Audience:
Final year B.Sc. Computer Science students at Alagappa University seeking a solid foundation in Computer Network principles for academic.
About the Author:
Dr. S. Murugan is Associate Professor at Alagappa Government Arts College, Karaikudi. With 23 years of teaching experience in the field of Computer Science, Dr. S. Murugan has a passion for simplifying complex concepts in Computer Network
Disclaimer:
This document is intended for educational purposes only. The content presented here reflects the author’s understanding in the field of Computer Network
APM event hosted by the South Wales and West of England Network (SWWE Network)
Speaker: Aalok Sonawala
The SWWE Regional Network were very pleased to welcome Aalok Sonawala, Head of PMO, National Programmes, Rider Levett Bucknall on 26 February, to BAWA for our first face to face event of 2025. Aalok is a member of APM’s Thames Valley Regional Network and also speaks to members of APM’s PMO Interest Network, which aims to facilitate collaboration and learning, offer unbiased advice and guidance.
Tonight, Aalok planned to discuss the importance of a PMO within project-based organisations, the different types of PMO and their key elements, PMO governance and centres of excellence.
PMO’s within an organisation can be centralised, hub and spoke with a central PMO with satellite PMOs globally, or embedded within projects. The appropriate structure will be determined by the specific business needs of the organisation. The PMO sits above PM delivery and the supply chain delivery teams.
For further information about the event please click here.
How to Configure Restaurants in Odoo 17 Point of SaleCeline George
Ìý
Odoo, a versatile and integrated business management software, excels with its robust Point of Sale (POS) module. This guide delves into the intricacies of configuring restaurants in Odoo 17 POS, unlocking numerous possibilities for streamlined operations and enhanced customer experiences.
The Constitution, Government and Law making bodies .saanidhyapatel09
Ìý
This PowerPoint presentation provides an insightful overview of the Constitution, covering its key principles, features, and significance. It explains the fundamental rights, duties, structure of government, and the importance of constitutional law in governance. Ideal for students, educators, and anyone interested in understanding the foundation of a nation’s legal framework.
Research & Research Methods: Basic Concepts and Types.pptxDr. Sarita Anand
Ìý
This ppt has been made for the students pursuing PG in social science and humanities like M.Ed., M.A. (Education), Ph.D. Scholars. It will be also beneficial for the teachers and other faculty members interested in research and teaching research concepts.
Digital Tools with AI for e-Content Development.pptxDr. Sarita Anand
Ìý
This ppt is useful for not only for B.Ed., M.Ed., M.A. (Education) or any other PG level students or Ph.D. scholars but also for the school, college and university teachers who are interested to prepare an e-content with AI for their students and others.
How to attach file using upload button Odoo 18Celine George
Ìý
In this slide, we’ll discuss on how to attach file using upload button Odoo 18. Odoo features a dedicated model, 'ir.attachments,' designed for storing attachments submitted by end users. We can see the process of utilizing the 'ir.attachments' model to enable file uploads through web forms in this slide.