Products related to Algorithms:
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Nonlinear Programming : Theory and Algorithms (Set)
Presenting recent developments of key topics in nonlinear programming, this text looks specifically at three main areas; convex analysis, optimality conditions and dual computational techniques.
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Programming Quantum Computers : Essential Algorithms and Code Samples
Quantum computers are poised to kick-start a new computing revolution—and you can join in right away.If you’re in software engineering, computer graphics, data science, or just an intrigued computerphile, this book provides a hands-on programmer’s guide to understanding quantum computing.Rather than labor through math and theory, you’ll work directly with examples that demonstrate this technology’s unique capabilities.Quantum computing specialists Eric Johnston, Nic Harrigan, and Mercedes Gimeno-Segovia show you how to build the skills, tools, and intuition required to write quantum programs at the center of applications.You’ll understand what quantum computers can do and learn how to identify the types of problems they can solve.This book includes three multichapter sections: Programming for a QPU—Explore core concepts for programming quantum processing units, including how to describe and manipulate qubits and how to perform quantum teleportation.QPU Primitives—Learn algorithmic primitives and techniques, including amplitude amplification, the Quantum Fourier Transform, and phase estimation.QPU Applications—Investigate how QPU primitives are used to build existing applications, including quantum search techniques and Shor’s factoring algorithm.
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Basics of Programming and Algorithms, Principles and Applications
This textbook offers an introduction to topics in algorithms and programming with python.It is originally intended for mathematical students not sufficiently aware about these computer science fields seeking a deeper understanding.It addresses fundamental questions on how to analyze the performance of an algorithm and equips readers with the skills to implement them using python. The textbook is organized in two parts. Part I introduces Python Programming offering a solid foundation to python essentials.Topics covered include first steps in python programming, programs, functions and recursion, data structures.Part II shifts focus to Algorithms and covers topics such as algorithm performance, recursion, the sorting problem, trees as data structures, etc. This book has its origins from several different courses given in the context of thematic schools to diverse audiences in different countries over the years.These countries include Cambodia, Kenya, and Madagascar.
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The Constitution of Algorithms : Ground-Truthing, Programming, Formulating
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What programming language is best for programming algorithms?
The best programming language for programming algorithms depends on the specific requirements and constraints of the problem at hand. However, languages like Python, C++, and Java are commonly used for algorithm development due to their strong support for data structures, efficient memory management, and high performance. Python is often preferred for its simplicity and readability, while C++ and Java are chosen for their speed and ability to handle complex computations. Ultimately, the best language for programming algorithms will depend on the specific needs of the project and the programmer's familiarity with the language.
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What do algorithms achieve?
Algorithms achieve the ability to process and analyze large amounts of data quickly and efficiently. They help in making predictions, identifying patterns, and solving complex problems. Algorithms are used in various fields such as finance, healthcare, and technology to optimize processes and improve decision-making. Overall, algorithms play a crucial role in automating tasks, improving productivity, and driving innovation.
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What do algorithms calculate?
Algorithms are designed to calculate specific tasks or operations based on a set of instructions. They can be used to perform mathematical calculations, process data, analyze patterns, make decisions, and solve problems. In essence, algorithms are used to automate and streamline various processes by following a predefined sequence of steps to produce a desired outcome.
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What are the Instagram algorithms?
The Instagram algorithms are a set of complex calculations used by the platform to determine what content users see on their feed. These algorithms analyze user behavior, such as likes, comments, and shares, to prioritize content from accounts that users engage with the most. The algorithms also take into account the timeliness of posts, the relationship between users, and the type of content being shared. By using these algorithms, Instagram aims to show users the most relevant and engaging content on their feed.
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Algorithms
The leading introduction to computer algorithms in use today, including fifty algorithms every programmer should know Princeton Computer Science professors, Robert Sedgewick and Kevin Wayne, survey the most important computer algorithms in use and of interest to anyone working in science, mathematics, and engineering, and those who use computation in the liberal arts.They provide a full treatment of data structures and algorithms for key areas that enable you to confidently implement, debug, and put them to work in any computational environment. Fundamentals: Basic programming modelsData abstractionBags, queues, and stacksAnalysis of algorithms Sorting Elementary sortsMergesortQuicksortPriority queuesApplications Graphs Undirected graphsDirected graphsMinimum spanning treesShortest paths Strings String sortsTriesSubstring searchRegular expressionsData compression These algorithms are generally ingenious creations that, remarkably, can each be expressed in just a dozen or two lines of code.As a group, they represent problem-solving power of amazing scope.They have enabled the construction of computational artifacts, the solution of scientific problems, and the development of commercial applications that would not have been feasible without them.
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Game Programming Algorithms and Techniques : A Platform-Agnostic Approach
Game Programming Algorithms and Techniques is a detailed overview of many of the important algorithms and techniques used in video game programming today.Designed for programmers who are familiar with object-oriented programming and basic data structures, this book focuses on practical concepts that see actual use in the game industry. Sanjay Madhav takes a unique platform- and framework-agnostic approach that will help develop virtually any game, in any genre, with any language or framework.He presents the fundamental techniques for working with 2D and 3D graphics, physics, artificial intelligence, cameras, and much more. Each concept is illuminated with pseudocode that will be intuitive to any C#, Java, or C++ programmer, and has been refined and proven in Madhav’s game programming courses at the University of Southern California.Review questions after each chapter help solidify the most important concepts before moving on. Madhav concludes with a detailed analysis of two complete games: a 2D iOS side-scroller (written in Objective-Cusing cocos2d) and a 3D PC/Mac/Linux tower defense game (written in C# using XNA/ MonoGame).These games illustrate many of the algorithms and techniques covered in the earlier chapters, and the full source code is available at gamealgorithms.net. Coverage includes Game time management, speed control, and ensuring consistency on diverse hardware Essential 2D graphics techniques for modern mobile gaming Vectors, matrices, and linear algebra for 3D games 3D graphics including coordinate spaces, lighting and shading, z-buffering, and quaternions Handling today’s wide array of digital and analog inputs Sound systems including sound events, 3D audio, and digital signal processing Fundamentals of game physics, including collision detection and numeric integration Cameras: first-person, follow, spline, and more Artificial intelligence: pathfinding, state-based behaviors, and strategy/planning User interfaces including menu systems and heads-up displays Scripting and text-based data files: when, how, and where to use them Basics of networked games including protocols and network topology
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Online Algorithms
Online algorithms are a rich area of research with widespread applications in scheduling, combinatorial optimization, and resource allocation problems.This lucid textbook provides an easy but rigorous introduction to online algorithms for graduate and senior undergraduate students.In-depth coverage of most of the important topics is presented with special emphasis on elegant analysis.The book starts with classical online paradigms like the ski-rental, paging, list-accessing, bin packing, where performance of online algorithms is studied under the worst-case input and moves on to newer paradigms like 'beyond worst case', where online algorithms are augmented with predictions using machine learning algorithms.The book goes on to cover multiple applied problems such as routing in communication networks, server provisioning in cloud systems, communication with energy harvested from renewable sources, and sub-modular partitioning.Finally, a wide range of solved examples and practice exercises are included, allowing hands-on exposure to the concepts.
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Simple Algorithms
First Coding introduces children to the basic principles of programming and computing, from being safe on the internet to their first steps in computer logic.This series uses easy-to-read text and colourful images, as well as real examples of code.
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Which sorting algorithms are there?
There are several common sorting algorithms, including bubble sort, selection sort, insertion sort, merge sort, quick sort, and heap sort. Each algorithm has its own advantages and disadvantages in terms of time complexity, space complexity, and stability. The choice of sorting algorithm depends on the specific requirements of the problem at hand.
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Should one learn without algorithms?
Learning without algorithms is certainly possible, as there are many different ways to acquire knowledge and skills. However, algorithms can be valuable tools for organizing and processing information, so learning about them can be beneficial. Understanding algorithms can help individuals solve complex problems, improve decision-making processes, and enhance their overall problem-solving abilities. Therefore, while it is not necessary to learn algorithms, doing so can certainly be advantageous in many fields.
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What are simple algorithms in Java?
Simple algorithms in Java are step-by-step procedures for solving a specific problem or performing a specific task. These algorithms are typically written in Java programming language and are designed to be easy to understand and implement. Examples of simple algorithms in Java include sorting algorithms like bubble sort or insertion sort, searching algorithms like linear search or binary search, and mathematical algorithms like finding the factorial of a number or calculating the Fibonacci sequence. These algorithms are fundamental building blocks in computer science and are essential for solving a wide range of problems in software development.
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How do logarithmic sorting algorithms work?
Logarithmic sorting algorithms work by dividing the input data into smaller subgroups and recursively sorting these subgroups. One common example is the merge sort algorithm, which divides the input list into two halves, sorts each half separately, and then merges them back together in sorted order. By repeatedly dividing the data and merging the sorted subgroups, logarithmic sorting algorithms achieve a time complexity of O(n log n), making them efficient for large datasets.
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