Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Flowchart And Algorithm Basics
Download Flowchart And Algorithm Basics full books in PDF, epub, and Kindle. Read online Flowchart And Algorithm Basics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Flowchart and Algorithm Basics by : A. B. Chaudhuri
Download or read book Flowchart and Algorithm Basics written by A. B. Chaudhuri and published by . This book was released on 2020-07-15 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to equip the reader with all of the best followed, efficient,well-structured program logics in the form of flowcharts and algorithms. The basicpurpose of flowcharting is to create the sequence of steps for showing the solution to problems through arithmetic and/or logical manipulations used to instruct computers. The applied and illustrative examples from different subject areas will definitely encourage readers to learn the logic leading to solid programming basics. Features: * Uses flowcharts and algorithms to solve problems from everyday applications, teaching the logic needed for the creation of computer instructions * Covers arrays, looping, file processing, etc.
Book Synopsis The Art of Programming Through Flowcharts & Algorithms by : Anil Bikas Chaudhuri
Download or read book The Art of Programming Through Flowcharts & Algorithms written by Anil Bikas Chaudhuri and published by Firewall Media. This book was released on 2005-12 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computer Science Programming Basics in Ruby by : Ophir Frieder
Download or read book Computer Science Programming Basics in Ruby written by Ophir Frieder and published by "O'Reilly Media, Inc.". This book was released on 2013-04-18 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you know basic high-school math, you can quickly learn and apply the core concepts of computer science with this concise, hands-on book. Led by a team of experts, you’ll quickly understand the difference between computer science and computer programming, and you’ll learn how algorithms help you solve computing problems. Each chapter builds on material introduced earlier in the book, so you can master one core building block before moving on to the next. You’ll explore fundamental topics such as loops, arrays, objects, and classes, using the easy-to-learn Ruby programming language. Then you’ll put everything together in the last chapter by programming a simple game of tic-tac-toe. Learn how to write algorithms to solve real-world problems Understand the basics of computer architecture Examine the basic tools of a programming language Explore sequential, conditional, and loop programming structures Understand how the array data structure organizes storage Use searching techniques and comparison-based sorting algorithms Learn about objects, including how to build your own Discover how objects can be created from other objects Manipulate files and use their data in your software
Book Synopsis Understanding Algorithms and Flowcharts by : Luciano Manelli
Download or read book Understanding Algorithms and Flowcharts written by Luciano Manelli and published by CreateSpace. This book was released on 2015-09-01 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a condensed version of Chapter III (Algorithms & Programming Languages) from the book "Fundamentals of Modern Information Technology" (Italian Edition). This book has been written primarily for students, but also for the professional, and it can serve as a starting point for anyone who is beginning the study of computer science and information systems for the first time. In the following text, algorithms and flowcharts are analyzed accurately, with clear examples, and with the implementation in C code, both elementary and complex algorithms are studied. Data types (simple and structured) are initially introduced, and algorithms and flowcharts are defined and illustrated with graphical and textual explanations. In the next sections, simple and complex standard algorithms with their flowcharts are studied: everything is integrated with explanations and tables to have a step by step evolution of the algorithms. The main analyzed algorithms are: the sum of three or n numbers in a loop, the maximum and minimum search, the linear/sequential search, the binary search, the bubble sort, the selection sort, the merging of two sorted arrays, and the reading chars from file algorithm. The last section of the text is devoted to the introduction of the C language and the implementation of the code, which is connected to the studied algorithms.
Book Synopsis Programming Fundamentals by : Kenneth Leroy Busbee
Download or read book Programming Fundamentals written by Kenneth Leroy Busbee and published by . This book was released on 2018-01-07 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming Fundamentals - A Modular Structured Approach using C++ is written by Kenneth Leroy Busbee, a faculty member at Houston Community College in Houston, Texas. The materials used in this textbook/collection were developed by the author and others as independent modules for publication within the Connexions environment. Programming fundamentals are often divided into three college courses: Modular/Structured, Object Oriented and Data Structures. This textbook/collection covers the rest of those three courses.
Book Synopsis Flowchart and Algorithm Basics by : A. B. Chaudhuri
Download or read book Flowchart and Algorithm Basics written by A. B. Chaudhuri and published by Mercury Learning and Information. This book was released on 2020-06-24 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to equip the reader with all of the best followed, efficient, well-structured program logics in the form of flowcharts and algorithms. The basic purpose of flowcharting is to create the sequence of steps for showing the solution to problems through arithmetic and/or logical manipulations used to instruct computers. The applied and illustrative examples from different subject areas will definitely encourage readers to learn the logic leading to solid programming basics. Features: Uses flowcharts and algorithms to solve problems from everyday applications, teaching the logic needed for the creation of computer instructions Covers arrays, looping, file processing, etc.
Download or read book Javascript for R written by John Coene and published by CRC Press. This book was released on 2021-07-15 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Little known to many, R works just as well with JavaScript—this book delves into the various ways both languages can work together. The ultimate aim of this work is to put the reader at ease with inviting JavaScript in their data science workflow. In that respect the book is not teaching one JavaScript but rather we show how little JavaScript can greatly support and enhance R code. Therefore, the focus is on integrating external JavaScript libraries and no prior knowledge of JavaScript is required. Key Features: ● Easy to pick up. ● An entry way to learning JavaScript for R. ● Covers topics not covered anywhere else. ● Easy to follow along.
Book Synopsis Hands-On Artificial Intelligence for Search by : Devangini Patel
Download or read book Hands-On Artificial Intelligence for Search written by Devangini Patel and published by Packt Publishing Ltd. This book was released on 2018-08-30 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make your searches more responsive and smarter by applying Artificial Intelligence to it Key Features Enter the world of Artificial Intelligence with solid concepts and real-world use cases Make your applications intelligent using AI in your day-to-day apps and become a smart developer Design and implement artificial intelligence in searches Book Description With the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. The increase in demand for automation has generated many applications for AI in fields such as robotics, predictive analytics, finance, and more. In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems. But these are not optimal in either space or time and efficient approaches in time and space will be explored. We will also understand how to formulate a problem, which involves looking at it and identifying its initial state, goal state, and the actions that are possible in each state. We also need to understand the data structures involved while implementing these search algorithms as they form the basis of search exploration. Finally, we will look into what a heuristic is as this decides the quality of one sub-solution over another and helps you decide which step to take. What you will learn Understand the instances where searches can be used Understand the algorithms that can be used to make decisions more intelligent Formulate a problem by specifying its initial state, goal state, and actions Translate the concepts of the selected search algorithm into code Compare how basic search algorithms will perform for the application Implement algorithmic programming using code examples Who this book is for This book is for developers who are keen to get started with Artificial Intelligence and develop practical AI-based applications. Those developers who want to upgrade their normal applications to smart and intelligent versions will find this book useful. A basic knowledge and understanding of Python are assumed.
Book Synopsis Algorithms for Optimization by : Mykel J. Kochenderfer
Download or read book Algorithms for Optimization written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2019-03-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. The text provides concrete implementations in the Julia programming language. Topics covered include derivatives and their generalization to multiple dimensions; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text. The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals.
Book Synopsis Clever Algorithms by : Jason Brownlee
Download or read book Clever Algorithms written by Jason Brownlee and published by Jason Brownlee. This book was released on 2011 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described in this book were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and bacteria. An encyclopedic algorithm reference, this book is intended for research scientists, engineers, students, and interested amateurs. Each algorithm description provides a working code example in the Ruby Programming Language.
Book Synopsis Computer Fundamentals by : Pradeep K. Sinha
Download or read book Computer Fundamentals written by Pradeep K. Sinha and published by . This book was released on 2004-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Diagrammatic Representation and Inference by : Amrita Basu
Download or read book Diagrammatic Representation and Inference written by Amrita Basu and published by Springer Nature. This book was released on 2021-09-21 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on the Theory and Application of Diagrams, Diagrams 2021, held virtually in September 2021. The 16 full papers and 25 short papers presented together with 16 posters were carefully reviewed and selected from 94 submissions. The papers are organized in the following topical sections: design of concrete diagrams; theory of diagrams; diagrams and mathematics; diagrams and logic; new representation systems; analysis of diagrams; diagrams and computation; cognitive analysis; diagrams as structural tools; formal diagrams; and understanding thought processes. 10 chapters are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Book Synopsis Pediatric Surgery, Flowcharts and Clinical Algorithms by : Sameh Shehata
Download or read book Pediatric Surgery, Flowcharts and Clinical Algorithms written by Sameh Shehata and published by BoD – Books on Demand. This book was released on 2019-12-04 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pediatric Surgery, Flowcharts and Clinical Algorithms is an updated review of some common pediatric surgical problems. The authors of the chapters have made a full review of the selected topics including the basic science facts necessary for the proper understanding of conditions (anatomy, physiology and embryology), such as gastrointestinal disorders, abdominal wall defects, choledochal cysts, and others, with special emphasis on antenatal diagnosis and management.A flow chart (or management algorithm) is included to facilitate decision making in choice of the proper diagnostic tools or the most efficient surgical (or non-surgical) strategy.The book is intended for pediatric surgeons, pediatricians, and researchers in any of the topics included.
Book Synopsis Introduction To Design And Analysis Of Algorithms, 2/E by : Anany Levitin
Download or read book Introduction To Design And Analysis Of Algorithms, 2/E written by Anany Levitin and published by Pearson Education India. This book was released on 2008-09 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Problem Solving with Python 3. 7 Edition by : Peter D. Kazarinoff
Download or read book Problem Solving with Python 3. 7 Edition written by Peter D. Kazarinoff and published by . This book was released on 2019-09-15 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get started solving problems with the Python programming language!This book introduces some of the most famous scientific libraries for Python: * Python's math and statistics module to do calculations * Matplotlib to build 2D and 3D plots * NumPy to complete calculations on arrays * Jupiter Notebooks to share results with a team * SymPy to solve equations * PySerial to control an Arduino with Python * MicroPython to control an LEDThis book is great for budding engineers and data scientists. The text starts with the basics but finishes with topics rarely included in other engineering and data science programming books like SymPy and PySerial and MicroPython.
Book Synopsis Cambridge IGCSE® Computer Science Programming Book by : Richard Morgan
Download or read book Cambridge IGCSE® Computer Science Programming Book written by Richard Morgan and published by Cambridge University Press. This book was released on 2015-08-06 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: This resource is written to follow the updated Cambridge IGCSE® Computer Science syllabus 0478 with examination from June and November 2016.
Book Synopsis Algorithmic Problem Solving by : Roland Backhouse
Download or read book Algorithmic Problem Solving written by Roland Backhouse and published by John Wiley & Sons. This book was released on 2011-10-24 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: An entertaining and captivating way to learn the fundamentals of using algorithms to solve problems The algorithmic approach to solving problems in computer technology is an essential tool. With this unique book, algorithm guru Roland Backhouse shares his four decades of experience to teach the fundamental principles of using algorithms to solve problems. Using fun and well-known puzzles to gradually introduce different aspects of algorithms in mathematics and computing. Backhouse presents you with a readable, entertaining, and energetic book that will motivate and challenge you to open your mind to the algorithmic nature of problem solving. Provides a novel approach to the mathematics of problem solving focusing on the algorithmic nature of problem solving Uses popular and entertaining puzzles to teach you different aspects of using algorithms to solve mathematical and computing challenges Features a theory section that supports each of the puzzles presented throughout the book Assumes only an elementary understanding of mathematics Let Roland Backhouse and his four decades of experience show you how you can solve challenging problems with algorithms!
