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Vector Arithmetic in the Triangular Grid.
Khaled Abuhmaidan1, Monther Aldwairi2, Benedek Nagy3
1Department of Computing and IT, Global College of Engineering and Technology, CPO Ruwi 112, Muscat Sultanate P.O. Box 2546, Oman.
This study introduces novel vector arithmetic formulas for triangular grids, overcoming challenges with standard coordinate systems. These methods enable precise calculations for applications in digital image processing and simulations.
Area of Science:
- Computational Geometry
- Digital Image Processing
- Scientific Simulation
Background:
- Vector arithmetic is fundamental to geometry and physics, typically using Cartesian coordinates.
- Triangular grids, while regular, pose challenges for vector addition due to not being a point lattice.
- Existing methods for triangular grids struggle with straightforward vector arithmetic operations.
Purpose of the Study:
- To develop and present formulae for vector arithmetic (sum, difference, scalar product) on a continuous coordinate system for triangular grids.
- To address the limitations of standard coordinate systems in handling triangular grid vector operations.
- To facilitate applications requiring precise vector calculations on triangular grids.
Main Methods:
- Representation of triangular grid points using zero-sum and one-sum coordinate-triplets.
- Expansion of the coordinate system to the plane with specific restrictions.
- Derivation of novel formulae for vector addition, subtraction, and scalar multiplication.
Main Results:
- Successfully derived formulae for fundamental vector arithmetic operations on the triangular grid coordinate system.
- The provided formulae ensure results adhere to the defined coordinate system constraints.
- Demonstrated the applicability of the formulae for essential computations like discrete rotations and interpolations.
Conclusions:
- The developed vector arithmetic formulae provide a robust solution for triangular grid computations.
- This work is crucial for advancing applications in digital image processing, cartography, and physical simulations on triangular grids.
- Enables more efficient and accurate manipulation of data represented on triangular grids.

