Bøger udgivet af Mercury Learning and Information

This updated edition includes step-by-step instruction on modern OpenGL 4.0+ GLSL shader programming with C++, along with the theoretical foundations of 3D computer graphics. Every shader stage is explored, from the basics of modeling, textures, lighting, shadows, etc., through advanced techniques such as tessellation, noise maps, water, and stereoscopy. This new edition includes expanded coverage of camera control, refraction, and a new chapter on ray tracing with bounding volume hierarchies for complex models. The companion files include all the source code, shaders, model files, skyboxes, etc., needed to run every example in the book. FEATURES: Covers modern OpenGL 4.0+ GLSL shader programming with C++, and instructions for both PC/Windows and MacintoshProvides complete source code for each example, fully explained along with tips for performance optimizationIncludes step-by-step instruction for using each GLSL programmable pipeline stage (vertex, tessellation, geometry, and fragment)Designed in a 4-color, "teach-yourself" format with numerous examples that the reader can run just as presentedExplores practical examples for modeling, lighting, and shadows (including soft shadows), terrain, water, and 3Dmaterials such as wood and marbleExpanded coverage of ray tracing, to include complex models and bounding volume hierarchiesIncludes companion files with source code, shaders, OBJ models, textures, skydomes, normal maps, high resolution figures, and more

This book provides guidance on how organizations can respond effectively to a rapidly converging collection of advanced technologies, methods, and models often referred to as "the metaverse." The arrival of the metaverse will likely lead to one of the most disruptive eras in modern history. We will see our personal, social, professional, and business lives change just as dramatically as we experienced with the arrival of the personal computer, Internet, and smart phone. The book also discusses some of the most important metaverse technologies, concepts, and methods which are needed by organizational leaders to understand as they begin to map out their metaverse transformation plans. These discussions are followed by detailed chapters on the main elements of an effective enterprise transformation initiative, concluding with a detailed hypothetical case study that describes how such a transformation can be accomplished. The central purpose of the book is to help executives and other professionals in charting an effective course to the metaverse.

Python3 and Data Visualization offers readers a deep dive into the world of Python 3 programming and the art of data visualization. Chapter 1 introduces the essentials of Python, covering a vast array of topics from basic data types, loops, and functions to more advanced constructs like dictionaries, sets, and matrices. In Chapter 2, the focus shifts to NumPy and its powerful array operations, seamlessly leading into the world of data visualization using prominent libraries such as Matplotlib. Chapter 6 immerses the reader in Seaborn's rich visualization tools, offering insights into datasets like Iris and Titanic. The appendix covers other visualization tools and techniques, including SVG graphics, D3 for dynamic visualizations, and more. The book also includes companion files with numerous Python code samples and figures. From foundational Python concepts to the intricacies of data visualization, this book serves as a comprehensive resource for both beginners and seasoned professionals.

Designed for students, faculty, and professionals, this book describes the role of mathematics in the world of economics and business. Beginning with the fundamental nature of numbers and progressing into more complex realms like hyperreal numbers and the intricacies of set theory, this book constructs a strong foundational understanding of mathematical concepts. The book uses PYTHON code throughout the text to illustrate problems numerically. As readers advance, the text seamlessly integrates essential topics such as linear simultaneous equations, which are pivotal in analyzing market equilibrium, and covers the mechanics of matrices for solving larger equation systems. Furthermore, chapters dedicated to calculus, especially its applications in economics and the innovative use of infinitesimal methods, equip learners with tools to tackle profit maximization challenges, factor optimization, and beyond. Later chapters unfold the world of differential and difference equations, revealing their significance in analyzing dynamic systems. All these concepts are illuminated through practical examples and numerous images from economics and business, ensuring relevance and clarity.

In the digital age, data is the new currency. However, amassing heaps of data means nothing if it doesn't lead to actionable insights. It's not enough to just present numbers; to truly resonate with an audience, data needs a narrative. "Data Storytelling and Translation" bridges the chasm between numbers and narratives. Learn the intricacies of translating raw data into compelling stories that captivate, inform, and inspire action. The book covers proven frameworks for converting data into compelling narratives, strategies to tailor data stories to different audiences, techniques to avoid common pitfalls and biases in data representation, the balance between aesthetics and accuracy in data visualization, and uses real-world case studies illustrating the power of effective data storytelling. Whether you're a data scientist, business analyst, student or a decision-maker, this book offers the tools to articulate the true value of your data.

No detailed description available for "Finite Element Analysis".