Applied spatial data structures de kane marcus (5 resultados)
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. Neuware - Master the foundations of high-performance spatial computing with practical, modern C++ techniques used in real-world graphics engines, simulation systems, game development, robotics, GIS, and AI applications.Applied Spatial Data Structures in C++ is a hands-on guide designed for developers… who want to build fast, scalable, and memory-efficient systems for spatial queries, geometric computation, collision detection, nearest-neighbor search, and real-time data processing.Inside this book, you'll explore how advanced spatial algorithms work under the hood and learn how to implement them efficiently using modern C++ design principles.You'll discover: - KD-Trees for fast multidimensional searching- Quadtrees and Octrees for spatial partitioning- Bounding Volume Hierarchies (BVH) for collision systems- Spatial hashing and grid-based indexing- Range searching and nearest-neighbor algorithms- Computational geometry fundamentals- Memory optimization and cache-friendly design- Real-time rendering and simulation structures- Performance-focused C++ implementations- Practical applications in graphics, AI, physics, and GISWhether you're building game engines, graphics software, robotics systems, CAD tools, AI simulations, or high-performance backend systems, this book provides the knowledge and implementation strategies needed to handle complex spatial data efficiently.Unlike overly theoretical references, this guide focuses on practical engineering concepts with clean explanations, modern architecture patterns, and production-oriented techniques that developers can apply immediately.Perfect for: - C++ developers- Game engine programmers- Graphics and rendering engineers- Computational geometry enthusiasts- Simulation and physics developers- Robotics and AI engineers- Computer science students seeking practical implementation skillsIf you want to understand how modern systems organize and process spatial information at scale-and learn how to implement these structures in performant C++ code-this book gives you the roadmap.Start building smarter, faster, and more scalable spatial systems today.
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 34,35
Envío por EUR 43,32Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Master the foundations of high-performance spatial computing with practical, modern C++ techniques used in real-world graphics engines, simulation systems, game development, robotics, GIS, and AI applications.Applied Spatial Data Structures in C++ is a hands-on guide designed for developers…who want to build fast, scalable, and memory-efficient systems for spatial queries, geometric computation, collision detection, nearest-neighbor search, and real-time data processing.Inside this book, you'll explore how advanced spatial algorithms work under the hood and learn how to implement them efficiently using modern C++ design principles.You'll discover: - KD-Trees for fast multidimensional searching- Quadtrees and Octrees for spatial partitioning- Bounding Volume Hierarchies (BVH) for collision systems- Spatial hashing and grid-based indexing- Range searching and nearest-neighbor algorithms- Computational geometry fundamentals- Memory optimization and cache-friendly design- Real-time rendering and simulation structures- Performance-focused C++ implementations- Practical applications in graphics, AI, physics, and GISWhether you're building game engines, graphics software, robotics systems, CAD tools, AI simulations, or high-performance backend systems, this book provides the knowledge and implementation strategies needed to handle complex spatial data efficiently.Unlike overly theoretical references, this guide focuses on practical engineering concepts with clean explanations, modern architecture patterns, and production-oriented techniques that developers can apply immediately.Perfect for: - C++ developers- Game engine programmers- Graphics and rendering engineers- Computational geometry enthusiasts- Simulation and physics developers- Robotics and AI engineers- Computer science students seeking practical implementation skillsIf you want to understand how modern systems organize and process spatial information at scale-and learn how to implement these structures in performant C++ code-this book gives you the roadmap.Start building smarter, faster, and more scalable spatial systems today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
