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Rust wgpu for Complex Function Visualization

Rust wgpu for Complex Function Visualization
Author: Jack Xu
Publisher: UniCAD
Total Pages: 93
Release: 101-01-01
Genre: Computers
ISBN:
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Rust wgpu for Complex Function Visualization – Learn to Create Real-Time Visualization of Complex Functions Using wgpu and Compute Shaders Embark on a journey into the future of Rust visualization with “Rust wgpu for Complex Function Visualization.” This book is your definitive guide to creating real-time, stunning visuals of complex functions using wgpu and compute shaders. Inside this eBook, you will: Explore the next-generation graphics technology through step-by-step, real-world examples that empower you to visualize complex functions like never before. Master the art of domain coloring, a process that transforms intricate mathematical data into vivid, dynamic visual representations. Gain insights into the intricacies of rendering 3D surface plots for complex functions on both the CPU and GPU, and discover how to optimize performance. Unleash the true potential of wgpu by harnessing the power of compute shaders to accelerate domain coloring computations, achieving real-time performance for even the most extensive complex plane grids. This comprehensive resource goes beyond theory, offering practical insights and sample code listings that guide you through each step of the process. As you work through the example projects, you will develop a deep understanding of complex function graphics techniques, enabling you to effortlessly create sophisticated 3D graphics for your graphics applications. Whether you are captivated by the mathematical beauty of complex functions or eager to elevate your web development skills, this book is your gateway to a world of immersive and dynamic Rust visualization. Join the revolution in graphics and start crafting stunning visuals with wgpu today!

Practical GPU Graphics with wgpu and Rust

Practical GPU Graphics with wgpu and Rust
Author: Jack Xu
Publisher: UniCAD
Total Pages: 470
Release: 2022-01-19
Genre: Computers
ISBN:
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wgpu is the next-generation graphics API and future standard in Rust for both native devices and the web, aiming to provide modern 3D graphics and computation capabilities using GPU acceleration. This book provides all the tools you need to create advanced 3D graphics and GPU computing in Rust using this new wgpu API. First, this book will take you through the development environment for building wgpu applications in Rust, and then introduce Rust and wgpu basics, shader programs, GPU buffers, and rendering pipelines. Next, you will learn how to create primitives and simple objects in wgpu. As you progress through the chapters, you will get to grips with advanced wgpu topics, including 3D transformations, lighting calculations, colormaps, and textures. At the same time, you will learn how to create advanced 3D wgpu objects, including various 3D wireframes, 3D shapes, and simple and parametric 3D surfaces with colormaps and textures, as well as beautiful 2D and 3D fractal images described by complex functions. In addition, you will explore new wgpu features such as the compute shader and storage buffers, and use them to simulate large particle systems. By the end of this book, you will have the solid skills you need to build your own GPU-accelerated graphics and computing applications on both native devices and the web in Rust with the wgpu API. This book includes: - Development environment and tools for building wgpu apps in Rust. - Rust and wgpu basics, WGSL shaders, and rendering pipeline. - Primitives and simple shapes in wgpu. - 3D transformations, model, viewing, projection, and various coordinate systems. - GPU buffers, uniform buffer objects, animation, and camera controls. - Normal vectors, lighting model, ambient, diffuse, and specular light calculations. - UV coordinates, texture mapping. - Color model, colormaps, and color interpolation. - 3D shapes, wireframes, surfaces, and 3D charts. - 2D and 3D fractal images created in the fragment shader. - Compute shaders, storage buffers, and large particle system simulation.

Rust wgpu Marching Cubes

Rust wgpu Marching Cubes
Author: Jack Xu
Publisher: UniCAD
Total Pages: 119
Release: 101-01-01
Genre: Computers
ISBN:
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Rust wgpu Marching Cubes – A Practical Guide to Creating Implicit 3D Surfaces and Metaballs using wgpu and Compute Shaders Welcome to the future of Rust graphics development! Rust wgpu Marching Cubes is an immersive eBook that takes a practical approach to learning wgpu, the next-generation Rust graphics API. This comprehensive resource equips you with the tools you need to make your Rust projects visually stunning, whether you're a seasoned developer or just starting out. Inside, you'll unlock the secrets to creating implicit 3D surfaces and mesmerizing metaballs on the native devices or the web, all using the power of the new wgpu graphics API. We've simplified the learning process by breaking down wgpu concepts, ensuring that even beginners with minimal experience can grasp the fundamentals of advanced graphics development. Inside this book, you'll explore: How to use the marching cubes algorithm to create intricate 3D surfaces How to harness the power of compute shaders to enhance your 3D graphics in web applications A complete guide to implicit 3D surface and metaball generation in wgpu, with comprehensive sample code listings Hands-on learning opportunities with example programs that allow you to explore the 3D graphics techniques explained in the book Rust wgpu Marching Cubes is your gateway to unlocking the full potential of wgpu and bringing breathtaking 3D graphics to your graphics applications. Whether you aspire to create immersive game environments, interactive data visualizations, or stunning web designs, this book will set you on the path to success. Join the ranks of forward-thinking Rust developers who are embracing the future of graphics with wgpu. Get your copy today and embark on a journey that will elevate your Rust development skills to new heights. Your audience will thank you for the visually stunning experiences you'll create.

Machine Learning with Rust

Machine Learning with Rust
Author: Keiko Nakamura
Publisher: GitforGits
Total Pages: 170
Release: 2024-01-31
Genre: Computers
ISBN: 8119177711
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In this stimulating journey of Rust, you'll learn how to use the Rust programming language in conjunction with machine learning. It's not a full guide to learning machine learning with Rust. Instead, it's more of a journey that shows you what's possible when you use Rust to solve machine learning problems. Some people like Rust because it is quick and safe. This book shows how those qualities can help machine learning a lot. To begin, we will show you what Rust is and how it works. This is so that everyone, even those who are new to Rust, can follow along. Then, we look at some basic machine learning concepts, such as linear and logistic regression, and show how to use Rust's tools and libraries to make these ideas work. You will learn more complex techniques like decision trees, support vector machines, and how to work with data as we go along. It goes all the way up to neural networks and image recognition, and we show you how to use Rust for these types of tasks step by step. We use real-world examples, such as COVID data and the CIFAR-10 image set, to show how Rust works with issues that come up in the real world. This book is all about discovery and experimentation. To see what you can do with them, we use various Rust tools for machine learning. It's a fun way to see how Rust can be used in machine learning, and it will make you want to try new things and learn more on your own. This is only the beginning; there is so much more to uncover as you continue to explore machine learning with Rust. Key Learnings Exploit Rust's efficiency and safety to construct fast machine learning models. Use Rust's ndarray crate for numerical computations to manipulate complex machine learning data. Find out how Rust's extensible machine learning framework, linfa, works across algorithms. Use Rust's precision and speed to construct linear and logistic regression. See how Rust crates simplify decision trees and random forests for prediction and categorization. Learn to implement and optimize probabilistic classifiers, SVMs and closest neighbor methods in Rust. Use Rust's computing power to study neural networks and CNNs for picture recognition and processing. Apply learnt strategies to COVID and CIFAR-10 datasets to address realistic problems and obtain insights. Table of Content Rust Basics for Machine Learning Data Wrangling with Rust Linear Regression by Example Logistic Regression for Classification Decision Trees in Action Mastering Random Forests Support Vector Machines in Action Simplifying Naive Bayes and k-NN Crafting Neural Networks with Rust

Practical WebGPU Graphics

Practical WebGPU Graphics
Author: Jack Xu
Publisher: UniCAD
Total Pages: 445
Release: 2021-06-11
Genre: Computers
ISBN:
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WebGPU is the next-generation graphics API and future web standard for graphics and compute, aiming to provide modern 3D graphics and computation capabilities with the GPU acceleration. This book provides all the tools you need to help you create advanced 3D graphics and GPU computing on the web with this new WebGPU API. The book starts by taking you through the WebPack-TypeScript template for building the WebGPU apps and then shows you the WebGPU basics, shader program, GPU buffer, and rendering pipeline. Next, you will learn how to create primitives and simple objects in WebGPU. As you progress through the chapters, you will get to grips with advanced WebGPU topics, including 3D transformation, lighting calculation, colormaps, and textures. At the same time, you will learn how to create advanced 3D WebGPU objects, including various 3D wireframes, 3D shapes, simple and parametric 3D surfaces with colormaps and textures, as well as 3D surface plots and fractal graphics described by complex functions. In addition, you will explore new WebGPU features, such as compute shader and storage buffer, and how to use them to simulate large particle systems. By the end of this book, you will have the skill you need to build your own GPU-accelerated graphics and computing on the web with the WebGPU API. The book includes: - Template based on WebPack and TypeScript for developing WebGPU apps. - WebGPU basics, GLSL and WGSL shaders, and rendering pipeline. - Create primitives and simple shapes in WebGPU. - 3D transformations, model, viewing, projection, and various coordinate systems. - GPU buffers, uniform buffer objects, animation, and camera controls. - Normal vectors, lighting model, ambient, diffuse, and specular light calculations. - UV coordinates, texture mapping.- Color model, colormaps, and color interpolation. - Create 3D shapes, wireframes, surfaces, and 3D charts. - Create 3D plots and fractal graphics using complex functions. - Compute shaders, storage buffers, and large particle system simulation.

Practical C# Charts and Graphics (Second Edition)

Practical C# Charts and Graphics (Second Edition)
Author: Jack Xu
Publisher: UniCAD
Total Pages: 564
Release: 2019-08-10
Genre:
ISBN: 1088773133
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The book "Practical C# Charts and Graphics (Second Edition) - Advanced Chart and Graphics Programming for Real-World .NET Applications" provides all the tools you need to create professional C# chart and graphics applications for .NET developers. The book "Practical C# Charts and Graphics " is a perfect guide to learning all the basics for creating your advanced chart and graphics applications in C#. The book clearly explains practical chart and graphics methods and their underlying algorithms. The book contains: - Overview of GDI+ graphics capabilities and mathematical basics of computer charting and graphics - Step-by-step procedures to create a variety of 2D and 3D charts and graphics with complete ready-to-run C# code for each application. - Powerful 2D and 3D chart packages and user controls that can be directly used in your C# applications or can be easily modified to create your own sophisticated chart and graphics packages. - Detailed procedures to embed JavaScript charting library into your WIndows Forms applications. - Introductions to embed Gincker Graphics into your C# applications and demonstration how to use Gincker Graphics to create a variety charts and graphics without the need to write a single line of code.

Practical Numerical Methods with C#

Practical Numerical Methods with C#
Author: Jack Xu
Publisher: UniCAD
Total Pages: 470
Release: 2019
Genre: Mathematics
ISBN: 1695895576
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The second edition of this book builds all the code example within a single project by incorporating new advancements in C# .NET technology and open-source math libraries. It also uses C# Interactive Window to test numerical computations without compiling or running the complete project code. The second edition includes three new chapters, including "Plotting", Fourier Analysis" and "Math Expression Parser". As in the first edition, this book presents an in-depth exposition of the various numerical methods used in real-world scientific and engineering computations. It emphasizes the practical aspects of C# numerical methods and mathematical functions programming, and discusses various techniques in details to enable you to implement these numerical methods in your .NET application. Ideal for scientists, engineers, and students who would like to become more adept at numerical methods, the second edition of this book covers the following content: - Overview of C# programming. - The mathematical background and fundamentals of numerical methods. - plotting the computation results using a 3D chart control. - Math libraries for complex numbers and functions, real and complex vector and matrix operations, and special functions. - Numerical methods for generating random numbers and random distribution functions. - Various numerical methods for solving linear and nonlinear equations. - Numerical differentiation and integration. - Interpolations and curve fitting. - Optimization of single-variable and multi-variable functions with a variety of techniques, including advanced simulated annealing and evolutionary algorithms. - Numerical techniques for solving ordinary differential equations. - Numerical methods for solving boundary value problems. - Eigenvalue problems. - Fourier analysis. - mathematical expression parser and evaluator. In addition, this book provides testing examples for every math function and numerical method to show you how to use these functions and methods in your own .NET applications in a manageable and step-by-step fashion. Please visit the author's website for more information about this book at https://drxudotnet.com https://drxudotnet.com and https://gincker.com.

Numerical Algorithms

Numerical Algorithms
Author: Justin Solomon
Publisher: CRC Press
Total Pages: 400
Release: 2015-06-24
Genre: Computers
ISBN: 1482251892
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Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces numerical modeling and algorithmic desig

Practical PayPal Integration in ASP.NET Core

Practical PayPal Integration in ASP.NET Core
Author: Jack Xu
Publisher: UniCAD
Total Pages: 212
Release:
Genre: Computers
ISBN:
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Welcome to "Practical PayPal Integration in ASP.NET Core". This book will provide useful resources on PayPal Checkout and Subscriptions APIs and SDKs, as well as their applications in ASP.NET Core projects. I hope that this book will be useful for .NET programmers, software developers, and students of all skill levels, who are interested in integrating the PayPal REST APIs into their ASP.NET applications. You may often get confused with PayPal because there are so many frameworks and options to do the same thing. In fact, there are over 50 PayPal services, APIs, and SDKs out there – you just do not know which one is suitable for your applications. In this book, I will choose the latest PayPal products, services, APIs, and SDKs, and integrate them into your ASP.NET Core applications. Here are PayPal technologies that I plan to use: •PayPal Smart Payment Buttons – These new buttons, introduced in June 2018, provide a simplified and secure check out experience. They intelligently present the most relevant payment types to your shoppers automatically. •PayPal JavaScript SDK – This SDK integrates Smart Payment Buttons into your web site and renders them to a container DOM element. •PayPal Checkout .NET SDK – To simplify integrations, PayPal provides a .NET SDK for their Version 2 REST Payment API. Using the SDK over a direct integration allows the SDK to handle authentication on the server side for you. •PayPal Subscriptions API – I will implement a Subscriptions .NET SDK based on PayPal Version 1 Subscriptions REST API. This SDK allows you to easily integrate PayPal Subscriptions into .NET applications. In the first part of this book, I will explain how to use the PayPal Checkout .NET SDK to get start with the PayPal Version 2 Payments and Orders REST APIs. I will use various examples to demonstrate the procedures to complete a PayPal checkout transaction, including how to set up the development environment, how to integrate and render Smart Payment Buttons, how to create and manage orders, and how to capture and verify the transaction. In the second part of this book, I will switch to PayPal Subscriptions API. This API has not been ported to Version 2 yet, so we have to use Version 1 API for subscription. To make matters even worse, PayPal has never released a stable Subscriptions .NET SDK, which makes it difficult for .NET developers to integrate PayPal Subscriptions API into .NET and .NET Core applications. Therefore, I decide to implement a simple PayPal Subscriptions .NET SDK, which simply exposes various static methods that can be used to integrate PayPal Subscriptions API into .NET applications. I will use several examples to illustrate how to use this SDK to complete subscription transactions.

The Rust Programming Language (Covers Rust 2018)

The Rust Programming Language (Covers Rust 2018)
Author: Steve Klabnik
Publisher: No Starch Press
Total Pages: 561
Release: 2019-09-03
Genre: Computers
ISBN: 1718500459
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The official book on the Rust programming language, written by the Rust development team at the Mozilla Foundation, fully updated for Rust 2018. The Rust Programming Language is the official book on Rust: an open source systems programming language that helps you write faster, more reliable software. Rust offers control over low-level details (such as memory usage) in combination with high-level ergonomics, eliminating the hassle traditionally associated with low-level languages. The authors of The Rust Programming Language, members of the Rust Core Team, share their knowledge and experience to show you how to take full advantage of Rust's features--from installation to creating robust and scalable programs. You'll begin with basics like creating functions, choosing data types, and binding variables and then move on to more advanced concepts, such as: Ownership and borrowing, lifetimes, and traits Using Rust's memory safety guarantees to build fast, safe programs Testing, error handling, and effective refactoring Generics, smart pointers, multithreading, trait objects, and advanced pattern matching Using Cargo, Rust's built-in package manager, to build, test, and document your code and manage dependencies How best to use Rust's advanced compiler with compiler-led programming techniques You'll find plenty of code examples throughout the book, as well as three chapters dedicated to building complete projects to test your learning: a number guessing game, a Rust implementation of a command line tool, and a multithreaded server. New to this edition: An extended section on Rust macros, an expanded chapter on modules, and appendixes on Rust development tools and editions.