Board classification LinkedIn Queens #804. Dimensions 7×7. Region sample count 7. Observed pattern: tight-region board. Placement vector: R1C5, R2C2, R3C7, R4C4, R5C1, R6C3, R7C6.
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 37 cells — smaller regions often pin a queen to a single row intersection.
Sample placement 1: R1C5. Constraint class: elimination. Row 1, column 5 is the forced queen once region 3, row, column, and touch rules are applied together.
Sample placement 2: R2C2. Constraint class: regionPin. Region 2 only touches row 2 once on this board, so its queen must land at column 2.
Sample placement 3: R3C7. Constraint class: elimination. Row 3, column 7 is the forced queen once region 4, row, column, and touch rules are applied together.
Sample placement 4: R4C4. Constraint class: elimination. Row 4, column 4 is the forced queen once region 5, row, column, and touch rules are applied together.
Sample placement 5: R5C1. Constraint class: elimination. Row 5, column 1 is the forced queen once region 1, row, column, and touch rules are applied together.
Sample placement 6: R6C3. Constraint class: columnPin. Column 3 is the only column still available for a queen in row 6.
Sample placement 7: R7C6. Constraint class: regionPin. Region 7 only touches row 7 once on this board, so its queen must land at column 6.
Lab result: Tight-region board. Coordinates R1C5, R2C2, R3C7, R4C4, R5C1, R6C3, R7C6.