Geometric Computing Handbook: Practical Computational Geometry Algorithms for Robust 2D/3D CAD, Robotics, Graphics & Mesh Processing

By Lira Byte

Robust computational geometry belongs in the implementation, not an appendix...

Written by Lira Byte, Geometric Computing Handbook: Practical Computational Geometry Algorithms for Robust 2D/3D CAD, Robotics, Graphics & Mesh Processing connects geometric reasoning to implementation through a repeatable pattern: visual intuition, algorithm, code, failure cases, and validation. It treats numerical robustness as a core engineering concern, not an afterthought.

Inside, you'll master:

Robust predicates and orient2dExact, filtered, and adaptive arithmeticVectors, transforms, and coordinate framesRay-triangle and plane intersectionsClosest-point and polygon-clipping recipesAABB, OBB, and BVH queriesMesh repair and manifold checksWinding, normals, holes, and self-intersectionsScalable k-d trees and octreesCAD Boolean workflowsMesh, B-rep, CSG, and SDF trade-offsCollision detection with GJK/EPAContinuous collision detectionPoint clouds, reconstruction, and remeshingSpatial computing and geometric AI

Rather than demanding proof-heavy study or assuming perfect inputs, the handbook emphasizes practical explanations, diagrams, edge cases, and a workflow that can move from Python prototyping to modern C++. Its focus is not eliminating every tolerance; it is choosing numerical strategies deliberately and testing the decisions that affect topology and reliability.

If reliable CAD and mesh pipelines are the goal, put this handbook beside the codebase.

• Format: Paperback
• Language: English
• ISBN: B0HMPHXSFT
• ISBN13: 9798161732786
• Release Date: October 2026
• Publisher: Independently Published
• Length: 386 Pages
• Weight: 1.97 lbs.
• Dimensions: 0.8" x 8.5" x 11.0"