calculate_differences_gpu

Computes Manhattan distance from a reference state to each row of a matrix
using ggml Vulkan backend: sub -&gt; abs -&gt; sum_rows.

internal

Implements algorithms for analyzing Cayley graphs of permutation groups,
with a focus on the TopSpin puzzle and similar permutation-based combinatorial
puzzles. Provides methods for cycle detection, state space exploration,
bidirectional BFS pathfinding, and finding optimal operation sequences
in permutation groups generated by shift and reverse operations.
Includes C++ implementations of core operations via 'Rcpp' for performance.
Optional GPU acceleration via 'ggmlR' Vulkan backend for batch distance
calculations and parallel state transformations.

Yuri Baramykov

cayleyR

Cayley Graph Analysis for Permutation Puzzles

calculate_differences_gpu function

<dl><dt>start_state</dt>
<dd>Integer vector, the reference state (length n)</dd>
<dt>states_matrix</dt>
<dd>Numeric matrix (nrow x n), each row is a state</dd></dl>

Arguments

Calculate Manhattan Distances on GPU — calculate_differences_gpu

<dl>

<dt>start_state</dt>
<dd>Integer vector, the reference state (length n)</dd>


<dt>states_matrix</dt>
<dd>Numeric matrix (nrow x n), each row is a state</dd>

</dl>

calculate_differences_gpu: Calculate Manhattan Distances on GPU

Description

Usage

Value

Arguments