When implementing numerical algorithms, always use appropriate data types to prevent overflow and preserve precision: 1. Use `Nd4jLong` or `auto` instead of `int` for array indices, dimensions, and strides, especially when working with potentially large data structures: ```cpp // Poor implementation - may cause overflow const int iStride2 = iH * iW; const int oStride2 = oH * oW; // Better implementation const Nd4jLong iStride2 = iH * iW; const Nd4jLong oStride2 = oH * oW; ``` 2. Implement direct type conversions between data types rather than casting through intermediate types (especially floating point) to maintain precision: ```cpp // Problematic - may lose precision due to floating point limitations z[i] = static_cast(static_cast(x[i])); // Better - direct conversion preserves precision z[i] = static_cast(x[i]); ``` This is particularly important when converting between integer types of different sizes, as floating-point conversions can cause inaccuracies for large values. For specialized numeric types, implement proper conversion operators between them to ensure consistent and precise data handling.