Board classification LinkedIn Queens #814. Dimensions 8×8. Region sample count 8. Observed pattern: tight-region board. Placement vector: R1C8, R2C2, R3C7, R4C5, R5C3, R6C6, R7C1, R8C4.
Board spotlight: Several color regions span only a few cells — scan those regions first because they often force a queen into a single row or column. Region sizes range from 2 to 14 cells — smaller regions often pin a queen to a single row intersection.
Sample placement 1: R1C8. Constraint class: regionPin. Region 3 only touches row 1 once on this board, so its queen must land at column 8.
Sample placement 2: R2C2. Constraint class: elimination. Row 2, column 2 is the forced queen once region 4, row, column, and touch rules are applied together.
Sample placement 3: R3C7. Constraint class: elimination. Row 3, column 7 is the forced queen once region 2, row, column, and touch rules are applied together.
Sample placement 4: R4C5. Constraint class: elimination. Row 4, column 5 is the forced queen once region 5, row, column, and touch rules are applied together.
Sample placement 5: R5C3. Constraint class: elimination. Row 5, column 3 is the forced queen once region 1, row, column, and touch rules are applied together.
Sample placement 6: R6C6. Constraint class: elimination. Row 6, column 6 is the forced queen once region 6, row, column, and touch rules are applied together.
Sample placement 7: R7C1. Constraint class: regionPin. Region 8 only touches row 7 once on this board, so its queen must land at column 1.
Sample placement 8: R8C4. Constraint class: rowScan. After eliminations, row 8 has one legal square left — column 4.
Lab result: Tight-region board. Coordinates R1C8, R2C2, R3C7, R4C5, R5C3, R6C6, R7C1, R8C4.