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.

Rust wgpu Voxel Terrains: Create Volumetric Landscapes Using Compute Shaders Learn how to create stunning voxel terrains for your Rust applications with this concise guide. This book covers the entire process of voxel terrain creation, from the basics of marching cubes to advanced techniques like crafting voxel volcanoes. With practical code examples, you'll have hands-on guidance throughout. Explore real-time voxel terrain creation with wgpu and compute shaders. By reading and practicing with the included examples, you'll gain a deep understanding and the ability to implement these techniques in your own projects. Discover practical projects to solidify your skills in voxel terrain generation. This book is suitable for Rust programmers, game developers, and anyone interested in procedural voxel terrain creation.

Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. Particle data typically originates from measurements and simulations in various fields, such as life sciences or physics. The particles are often visualized directly, that is, by simple representants like spheres. Interactive rendering facilitates the exploration and visual analysis of the data. With increasing data set sizes in terms of particle numbers, interactive high-quality visualization is a challenging task. This is especially true for dynamic data or abstract representations that are based on the raw particle data. This book covers direct particle visualization using simple glyphs as well as abstractions that are application-driven such as clustering and aggregation. It targets visualization researchers and developers who are interested in visualization techniques for large, dynamic particle-based data. Its explanations focus on GPU-accelerated algorithms for high-performance rendering and data processing that run in real-time on modern desktop hardware. Consequently, the implementation of said algorithms and the required data structures to make use of the capabilities of modern graphics APIs are discussed in detail. Furthermore, it covers GPU-accelerated methods for the generation of application-dependent abstract representations. This includes various representations commonly used in application areas such as structural biology, systems biology, thermodynamics, and astrophysics.

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.

First published in 1933, "The Shape of Things to Come" is science fiction novel written by H. G. Wells. Within it, world events between 1933 and 2106 are speculated with a single superstate representing the solution to all humanity's problems. A classic example of Wellsian prophesy, this volume is highly recommended for fans of his work and of the science fiction genre. Herbert George Wells (1866 - 1946) was a prolific English writer who wrote in a variety of genres, including the novel, politics, history, and social commentary. Today, he is perhaps best remembered for his contributions to the science fiction genre thanks to such novels as "The Time Machine" (1895), "The Invisible Man" (1897), and "The War of the Worlds" (1898). Many vintage books such as this are becoming increasingly scarce and expensive. We are republishing this book now in an affordable, modern, high-quality edition complete with a specially commissioned new biography of the author.

Brace yourself for a fun challenge: build a photorealistic 3D renderer from scratch! In just a couple of weeks, build a ray tracer that renders beautiful scenes with shadows, reflections, refraction effects, and subjects composed of various graphics primitives: spheres, cubes, cylinders, triangles, and more. With each chapter, implement another piece of the puzzle and move the renderer forward. Use whichever language and environment you prefer, and do it entirely test-first, so you know it's correct.

Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox. -- Michael Braun, MIT Sloan School of Management "Seamless R and C++ integration with Rcpp" is simply a wonderful book. For anyone who uses C/C++ and R, it is an indispensable resource. The writing is outstanding. A huge bonus is the section on applications. This section covers the matrix packages Armadillo and Eigen and the GNU Scientific Library as well as RInside which enables you to use R inside C++. These applications are what most of us need to know to really do scientific programming with R and C++. I love this book. -- Robert McCulloch, University of Chicago Booth School of Business Rcpp is now considered an essential package for anybody doing serious computational research using R. Dirk's book is an excellent companion and takes the reader from a gentle introduction to more advanced applications via numerous examples and efficiency enhancing gems. The book is packed with all you might have ever wanted to know about Rcpp, its cousins (RcppArmadillo, RcppEigen .etc.), modules, package development and sugar. Overall, this book is a must-have on your shelf. -- Sanjog Misra, UCLA Anderson School of Management The Rcpp package represents a major leap forward for scientific computations with R. With very few lines of C++ code, one has R's data structures readily at hand for further computations in C++. Hence, high-level numerical programming can be made in C++ almost as easily as in R, but often with a substantial speed gain. Dirk is a crucial person in these developments, and his book takes the reader from the first fragile steps on to using the full Rcpp machinery. A very recommended book! -- Søren Højsgaard, Department of Mathematical Sciences, Aalborg University, Denmark "Seamless R and C ++ Integration with Rcpp" provides the first comprehensive introduction to Rcpp. Rcpp has become the most widely-used language extension for R, and is deployed by over one-hundred different CRAN and BioConductor packages. Rcpp permits users to pass scalars, vectors, matrices, list or entire R objects back and forth between R and C++ with ease. This brings the depth of the R analysis framework together with the power, speed, and efficiency of C++. Dirk Eddelbuettel has been a contributor to CRAN for over a decade and maintains around twenty packages. He is the Debian/Ubuntu maintainer for R and other quantitative software, edits the CRAN Task Views for Finance and High-Performance Computing, is a co-founder of the annual R/Finance conference, and an editor of the Journal of Statistical Software. He holds a Ph.D. in Mathematical Economics from EHESS (Paris), and works in Chicago as a Senior Quantitative Analyst.