Board classification LinkedIn Queens #799. Dimensions 7×7. Region sample count 7. Observed pattern: tight-region board. Placement vector: R1C4, R2C2, R3C5, R4C3, R5C6, R6C1, R7C7.
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 17 cells — smaller regions often pin a queen to a single row intersection.
Sample placement 1: R1C4. Constraint class: regionPin. Region 4 only touches row 1 once on this board, so its queen must land at column 4.
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: R3C5. Constraint class: elimination. Row 3, column 5 is the forced queen once region 5, row, column, and touch rules are applied together.
Sample placement 4: R4C3. Constraint class: elimination. Row 4, column 3 is the forced queen once region 3, row, column, and touch rules are applied together.
Sample placement 5: R5C6. Constraint class: elimination. Row 5, column 6 is the forced queen once region 6, row, column, and touch rules are applied together.
Sample placement 6: R6C1. Constraint class: rowScan. After eliminations, row 6 has one legal square left — column 1.
Sample placement 7: R7C7. Constraint class: regionPin. Region 7 only touches row 7 once on this board, so its queen must land at column 7.
Lab result: Tight-region board. Coordinates R1C4, R2C2, R3C5, R4C3, R5C6, R6C1, R7C7.