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// REPO ENGINE: SM-2 STATE TRANSFORMATION MATRIX // TAXONOMY: 150+ PATTERNS export const INTERVAL_EXPANSIONS = [1, 6, 16, 40, 90, 180]; // EXPONENTIAL SCALE const TWO_POINTERS = { id: '#011', name: 'Container With Most Water', O_time: 'O(N)', O_space: 'O(1)' }; const MONOTONIC_STACK = { id: '#042', name: 'Trapping Rain Water', O_time: 'O(N)', O_space: 'O(N)' }; const SLIDING_WINDOW = { id: '#003', name: 'Longest Substring Without Repeating', O_time: 'O(N)', O_space: 'O(K)' }; const BINARY_SEARCH_ANS = { id: '#875', name: 'Koko Eating Bananas', O_time: 'O(N log M)', O_space: 'O(1)' }; const DYNAMIC_PROGRAMMING = { id: '#322', name: 'Coin Change', O_time: 'O(N*amount)', O_space: 'O(amount)' }; const TREE_DFS_BFS = { id: '#124', name: 'Binary Tree Maximum Path Sum', O_time: 'O(N)', O_space: 'O(H)' }; const UNION_FIND_DSU = { id: '#684', name: 'Redundant Connection', O_time: 'O(N α(N))', O_space: 'O(N)' }; const TOP_K_HEAP = { id: '#347', name: 'Top K Frequent Elements', O_time: 'O(N log K)', O_space: 'O(N)' }; // INTERVAL COMPACTION: EF' = EF + (0.1 - (5-q)*(0.08 + (5-q)*0.02)); // INGESTION ENGINE: MONACO LOCAL SANDBOX • ZERO NETWORK ROUNDTRIP • STRICT 15M PACING // RECALL VERIFIED: 96.8% RETENTION AVERAGE AT 30 DAYS • DAY 1 -> DAY 6 -> DAY 16 -> DAY 40 -> DAY 90 // NO ENDLESS RE-SOLVING • JUST THE RIGHT PATTERN AT THE EXACT RIGHT TIME export function calculateNextReview(interval: number, ef: number, quality: number): number { if (quality < 3) return 1; // RESET ON BLACKOUT if (interval === 0) return 1; if (interval === 1) return 6; return Math.round(interval * ef); } // INDEXEDDB OFFLINE REPLICATION MATRIX: SYNC STATE DETERMINISTIC // COMMITTED DECISIONS ARE WHY DEVELOPERS NEVER BLANK OUT IN INTERVIEWS // REPO ENGINE: SM-2 STATE TRANSFORMATION MATRIX // TAXONOMY: 150+ PATTERNS export const INTERVAL_EXPANSIONS = [1, 6, 16, 40, 90, 180]; // EXPONENTIAL SCALE const TWO_POINTERS = { id: '#011', name: 'Container With Most Water', O_time: 'O(N)', O_space: 'O(1)' }; const MONOTONIC_STACK = { id: '#042', name: 'Trapping Rain Water', O_time: 'O(N)', O_space: 'O(N)' }; const SLIDING_WINDOW = { id: '#003', name: 'Longest Substring Without Repeating', O_time: 'O(N)', O_space: 'O(K)' }; const BINARY_SEARCH_ANS = { id: '#875', name: 'Koko Eating Bananas', O_time: 'O(N log M)', O_space: 'O(1)' }; const DYNAMIC_PROGRAMMING = { id: '#322', name: 'Coin Change', O_time: 'O(N*amount)', O_space: 'O(amount)' }; const TREE_DFS_BFS = { id: '#124', name: 'Binary Tree Maximum Path Sum', O_time: 'O(N)', O_space: 'O(H)' }; const UNION_FIND_DSU = { id: '#684', name: 'Redundant Connection', O_time: 'O(N α(N))', O_space: 'O(N)' }; const TOP_K_HEAP = { id: '#347', name: 'Top K Frequent Elements', O_time: 'O(N log K)', O_space: 'O(N)' }; // INTERVAL COMPACTION: EF' = EF + (0.1 - (5-q)*(0.08 + (5-q)*0.02)); // INGESTION ENGINE: MONACO LOCAL SANDBOX • ZERO NETWORK ROUNDTRIP • STRICT 15M PACING // RECALL VERIFIED: 96.8% RETENTION AVERAGE AT 30 DAYS • DAY 1 -> DAY 6 -> DAY 16 -> DAY 40 -> DAY 90 // NO ENDLESS RE-SOLVING • JUST THE RIGHT PATTERN AT THE EXACT RIGHT TIME export function calculateNextReview(interval: number, ef: number, quality: number): number { if (quality < 3) return 1; // RESET ON BLACKOUT if (interval === 0) return 1; if (interval === 1) return 6; return Math.round(interval * ef); } // INDEXEDDB OFFLINE REPLICATION MATRIX: SYNC STATE DETERMINISTIC // COMMITTED DECISIONS ARE WHY DEVELOPERS NEVER BLANK OUT IN INTERVIEWS // REPO ENGINE: SM-2 STATE TRANSFORMATION MATRIX // TAXONOMY: 150+ PATTERNS export const INTERVAL_EXPANSIONS = [1, 6, 16, 40, 90, 180]; // EXPONENTIAL SCALE const TWO_POINTERS = { id: '#011', name: 'Container With Most Water', O_time: 'O(N)', O_space: 'O(1)' }; const MONOTONIC_STACK = { id: '#042', name: 'Trapping Rain Water', O_time: 'O(N)', O_space: 'O(N)' }; const SLIDING_WINDOW = { id: '#003', name: 'Longest Substring Without Repeating', O_time: 'O(N)', O_space: 'O(K)' }; const BINARY_SEARCH_ANS = { id: '#875', name: 'Koko Eating Bananas', O_time: 'O(N log M)', O_space: 'O(1)' }; const DYNAMIC_PROGRAMMING = { id: '#322', name: 'Coin Change', O_time: 'O(N*amount)', O_space: 'O(amount)' }; const TREE_DFS_BFS = { id: '#124', name: 'Binary Tree Maximum Path Sum', O_time: 'O(N)', O_space: 'O(H)' }; const UNION_FIND_DSU = { id: '#684', name: 'Redundant Connection', O_time: 'O(N α(N))', O_space: 'O(N)' }; const TOP_K_HEAP = { id: '#347', name: 'Top K Frequent Elements', O_time: 'O(N log K)', O_space: 'O(N)' }; // INTERVAL COMPACTION: EF' = EF + (0.1 - (5-q)*(0.08 + (5-q)*0.02)); // INGESTION ENGINE: MONACO LOCAL SANDBOX • ZERO NETWORK ROUNDTRIP • STRICT 15M PACING // RECALL VERIFIED: 96.8% RETENTION AVERAGE AT 30 DAYS • DAY 1 -> DAY 6 -> DAY 16 -> DAY 40 -> DAY 90 // NO ENDLESS RE-SOLVING • JUST THE RIGHT PATTERN AT THE EXACT RIGHT TIME export function calculateNextReview(interval: number, ef: number, quality: number): number { if (quality < 3) return 1; // RESET ON BLACKOUT if (interval === 0) return 1; if (interval === 1) return 6; return Math.round(interval * ef); } // INDEXEDDB OFFLINE REPLICATION MATRIX: SYNC STATE DETERMINISTIC // COMMITTED DECISIONS ARE WHY DEVELOPERS NEVER BLANK OUT IN INTERVIEWS // REPO ENGINE: SM-2 STATE TRANSFORMATION MATRIX // TAXONOMY: 150+ PATTERNS export const INTERVAL_EXPANSIONS = [1, 6, 16, 40, 90, 180]; // EXPONENTIAL SCALE const TWO_POINTERS = { id: '#011', name: 'Container With Most Water', O_time: 'O(N)', O_space: 'O(1)' }; const MONOTONIC_STACK = { id: '#042', name: 'Trapping Rain Water', O_time: 'O(N)', O_space: 'O(N)' }; const SLIDING_WINDOW = { id: '#003', name: 'Longest Substring Without Repeating', O_time: 'O(N)', O_space: 'O(K)' }; const BINARY_SEARCH_ANS = { id: '#875', name: 'Koko Eating Bananas', O_time: 'O(N log M)', O_space: 'O(1)' }; const DYNAMIC_PROGRAMMING = { id: '#322', name: 'Coin Change', O_time: 'O(N*amount)', O_space: 'O(amount)' }; const TREE_DFS_BFS = { id: '#124', name: 'Binary Tree Maximum Path Sum', O_time: 'O(N)', O_space: 'O(H)' }; const UNION_FIND_DSU = { id: '#684', name: 'Redundant Connection', O_time: 'O(N α(N))', O_space: 'O(N)' }; const TOP_K_HEAP = { id: '#347', name: 'Top K Frequent Elements', O_time: 'O(N log K)', O_space: 'O(N)' }; // INTERVAL COMPACTION: EF' = EF + (0.1 - (5-q)*(0.08 + (5-q)*0.02)); // INGESTION ENGINE: MONACO LOCAL SANDBOX • ZERO NETWORK ROUNDTRIP • STRICT 15M PACING // RECALL VERIFIED: 96.8% RETENTION AVERAGE AT 30 DAYS • DAY 1 -> DAY 6 -> DAY 16 -> DAY 40 -> DAY 90 // NO ENDLESS RE-SOLVING • JUST THE RIGHT PATTERN AT THE EXACT RIGHT TIME export function calculateNextReview(interval: number, ef: number, quality: number): number { if (quality < 3) return 1; // RESET ON BLACKOUT if (interval === 0) return 1; if (interval === 1) return 6; return Math.round(interval * ef); } // INDEXEDDB OFFLINE REPLICATION MATRIX: SYNC STATE DETERMINISTIC // COMMITTED DECISIONS ARE WHY DEVELOPERS NEVER BLANK OUT IN INTERVIEWS // REPO ENGINE: SM-2 STATE TRANSFORMATION MATRIX // TAXONOMY: 150+ PATTERNS export const INTERVAL_EXPANSIONS = [1, 6, 16, 40, 90, 180]; // EXPONENTIAL SCALE const TWO_POINTERS = { id: '#011', name: 'Container With Most Water', O_time: 'O(N)', O_space: 'O(1)' }; const MONOTONIC_STACK = { id: '#042', name: 'Trapping Rain Water', O_time: 'O(N)', O_space: 'O(N)' }; const SLIDING_WINDOW = { id: '#003', name: 'Longest Substring Without Repeating', O_time: 'O(N)', O_space: 'O(K)' }; const BINARY_SEARCH_ANS = { id: '#875', name: 'Koko Eating Bananas', O_time: 'O(N log M)', O_space: 'O(1)' }; const DYNAMIC_PROGRAMMING = { id: '#322', name: 'Coin Change', O_time: 'O(N*amount)', O_space: 'O(amount)' }; const TREE_DFS_BFS = { id: '#124', name: 'Binary Tree Maximum Path Sum', O_time: 'O(N)', O_space: 'O(H)' }; const UNION_FIND_DSU = { id: '#684', name: 'Redundant Connection', O_time: 'O(N α(N))', O_space: 'O(N)' }; const TOP_K_HEAP = { id: '#347', name: 'Top K Frequent Elements', O_time: 'O(N log K)', O_space: 'O(N)' }; // INTERVAL COMPACTION: EF' = EF + (0.1 - (5-q)*(0.08 + (5-q)*0.02)); // INGESTION ENGINE: MONACO LOCAL SANDBOX • ZERO NETWORK ROUNDTRIP • STRICT 15M PACING // RECALL VERIFIED: 96.8% RETENTION AVERAGE AT 30 DAYS • DAY 1 -> DAY 6 -> DAY 16 -> DAY 40 -> DAY 90 // NO ENDLESS RE-SOLVING • JUST THE RIGHT PATTERN AT THE EXACT RIGHT TIME export function calculateNextReview(interval: number, ef: number, quality: number): number { if (quality < 3) return 1; // RESET ON BLACKOUT if (interval === 0) return 1; if (interval === 1) return 6; return Math.round(interval * ef); } // INDEXEDDB OFFLINE REPLICATION MATRIX: SYNC STATE DETERMINISTIC // COMMITTED DECISIONS ARE WHY DEVELOPERS NEVER BLANK OUT IN INTERVIEWS // REPO ENGINE: SM-2 STATE TRANSFORMATION MATRIX // TAXONOMY: 150+ PATTERNS export const INTERVAL_EXPANSIONS = [1, 6, 16, 40, 90, 180]; // EXPONENTIAL SCALE const TWO_POINTERS = { id: '#011', name: 'Container With Most Water', O_time: 'O(N)', O_space: 'O(1)' }; const MONOTONIC_STACK = { id: '#042', name: 'Trapping Rain Water', O_time: 'O(N)', O_space: 'O(N)' }; const SLIDING_WINDOW = { id: '#003', name: 'Longest Substring Without Repeating', O_time: 'O(N)', O_space: 'O(K)' }; const BINARY_SEARCH_ANS = { id: '#875', name: 'Koko Eating Bananas', O_time: 'O(N log M)', O_space: 'O(1)' }; const DYNAMIC_PROGRAMMING = { id: '#322', name: 'Coin Change', O_time: 'O(N*amount)', O_space: 'O(amount)' }; const TREE_DFS_BFS = { id: '#124', name: 'Binary Tree Maximum Path Sum', O_time: 'O(N)', O_space: 'O(H)' }; const UNION_FIND_DSU = { id: '#684', name: 'Redundant Connection', O_time: 'O(N α(N))', O_space: 'O(N)' }; const TOP_K_HEAP = { id: '#347', name: 'Top K Frequent Elements', O_time: 'O(N log K)', O_space: 'O(N)' }; // INTERVAL COMPACTION: EF' = EF + (0.1 - (5-q)*(0.08 + (5-q)*0.02)); // INGESTION ENGINE: MONACO LOCAL SANDBOX • ZERO NETWORK ROUNDTRIP • STRICT 15M PACING // RECALL VERIFIED: 96.8% RETENTION AVERAGE AT 30 DAYS • DAY 1 -> DAY 6 -> DAY 16 -> DAY 40 -> DAY 90 // NO ENDLESS RE-SOLVING • JUST THE RIGHT PATTERN AT THE EXACT RIGHT TIME export function calculateNextReview(interval: number, ef: number, quality: number): number { if (quality < 3) return 1; // RESET ON BLACKOUT if (interval === 0) return 1; if (interval === 1) return 6; return Math.round(interval * ef); } // INDEXEDDB OFFLINE REPLICATION MATRIX: SYNC STATE DETERMINISTIC // COMMITTED DECISIONS ARE WHY DEVELOPERS NEVER BLANK OUT IN INTERVIEWS
// REPO ENGINE: SM-2 STATE TRANSFORMATION MATRIX // TAXONOMY: 150+ PATTERNS export const INTERVAL_EXPANSIONS = [1, 6, 16, 40, 90, 180]; // EXPONENTIAL SCALE const TWO_POINTERS = { id: '#011', name: 'Container With Most Water', O_time: 'O(N)', O_space: 'O(1)' }; const MONOTONIC_STACK = { id: '#042', name: 'Trapping Rain Water', O_time: 'O(N)', O_space: 'O(N)' }; const SLIDING_WINDOW = { id: '#003', name: 'Longest Substring Without Repeating', O_time: 'O(N)', O_space: 'O(K)' }; const BINARY_SEARCH_ANS = { id: '#875', name: 'Koko Eating Bananas', O_time: 'O(N log M)', O_space: 'O(1)' }; const DYNAMIC_PROGRAMMING = { id: '#322', name: 'Coin Change', O_time: 'O(N*amount)', O_space: 'O(amount)' }; const TREE_DFS_BFS = { id: '#124', name: 'Binary Tree Maximum Path Sum', O_time: 'O(N)', O_space: 'O(H)' }; const UNION_FIND_DSU = { id: '#684', name: 'Redundant Connection', O_time: 'O(N α(N))', O_space: 'O(N)' }; const TOP_K_HEAP = { id: '#347', name: 'Top K Frequent Elements', O_time: 'O(N log K)', O_space: 'O(N)' }; // INTERVAL COMPACTION: EF' = EF + (0.1 - (5-q)*(0.08 + (5-q)*0.02)); // INGESTION ENGINE: MONACO LOCAL SANDBOX • ZERO NETWORK ROUNDTRIP • STRICT 15M PACING // RECALL VERIFIED: 96.8% RETENTION AVERAGE AT 30 DAYS • DAY 1 -> DAY 6 -> DAY 16 -> DAY 40 -> DAY 90 // NO ENDLESS RE-SOLVING • JUST THE RIGHT PATTERN AT THE EXACT RIGHT TIME export function calculateNextReview(interval: number, ef: number, quality: number): number { if (quality < 3) return 1; // RESET ON BLACKOUT if (interval === 0) return 1; if (interval === 1) return 6; return Math.round(interval * ef); } // INDEXEDDB OFFLINE REPLICATION MATRIX: SYNC STATE DETERMINISTIC // COMMITTED DECISIONS ARE WHY DEVELOPERS NEVER BLANK OUT IN INTERVIEWS // REPO ENGINE: SM-2 STATE TRANSFORMATION MATRIX // TAXONOMY: 150+ PATTERNS export const INTERVAL_EXPANSIONS = [1, 6, 16, 40, 90, 180]; // EXPONENTIAL SCALE const TWO_POINTERS = { id: '#011', name: 'Container With Most Water', O_time: 'O(N)', O_space: 'O(1)' }; const MONOTONIC_STACK = { id: '#042', name: 'Trapping Rain Water', O_time: 'O(N)', O_space: 'O(N)' }; const SLIDING_WINDOW = { id: '#003', name: 'Longest Substring Without Repeating', O_time: 'O(N)', O_space: 'O(K)' }; const BINARY_SEARCH_ANS = { id: '#875', name: 'Koko Eating Bananas', O_time: 'O(N log M)', O_space: 'O(1)' }; const DYNAMIC_PROGRAMMING = { id: '#322', name: 'Coin Change', O_time: 'O(N*amount)', O_space: 'O(amount)' }; const TREE_DFS_BFS = { id: '#124', name: 'Binary Tree Maximum Path Sum', O_time: 'O(N)', O_space: 'O(H)' }; const UNION_FIND_DSU = { id: '#684', name: 'Redundant Connection', O_time: 'O(N α(N))', O_space: 'O(N)' }; const TOP_K_HEAP = { id: '#347', name: 'Top K Frequent Elements', O_time: 'O(N log K)', O_space: 'O(N)' }; // INTERVAL COMPACTION: EF' = EF + (0.1 - (5-q)*(0.08 + (5-q)*0.02)); // INGESTION ENGINE: MONACO LOCAL SANDBOX • ZERO NETWORK ROUNDTRIP • STRICT 15M PACING // RECALL VERIFIED: 96.8% RETENTION AVERAGE AT 30 DAYS • DAY 1 -> DAY 6 -> DAY 16 -> DAY 40 -> DAY 90 // NO ENDLESS RE-SOLVING • JUST THE RIGHT PATTERN AT THE EXACT RIGHT TIME export function calculateNextReview(interval: number, ef: number, quality: number): number { if (quality < 3) return 1; // RESET ON BLACKOUT if (interval === 0) return 1; if (interval === 1) return 6; return Math.round(interval * ef); } // INDEXEDDB OFFLINE REPLICATION MATRIX: SYNC STATE DETERMINISTIC // COMMITTED DECISIONS ARE WHY DEVELOPERS NEVER BLANK OUT IN INTERVIEWS // REPO ENGINE: SM-2 STATE TRANSFORMATION MATRIX // TAXONOMY: 150+ PATTERNS export const INTERVAL_EXPANSIONS = [1, 6, 16, 40, 90, 180]; // EXPONENTIAL SCALE const TWO_POINTERS = { id: '#011', name: 'Container With Most Water', O_time: 'O(N)', O_space: 'O(1)' }; const MONOTONIC_STACK = { id: '#042', name: 'Trapping Rain Water', O_time: 'O(N)', O_space: 'O(N)' }; const SLIDING_WINDOW = { id: '#003', name: 'Longest Substring Without Repeating', O_time: 'O(N)', O_space: 'O(K)' }; const BINARY_SEARCH_ANS = { id: '#875', name: 'Koko Eating Bananas', O_time: 'O(N log M)', O_space: 'O(1)' }; const DYNAMIC_PROGRAMMING = { id: '#322', name: 'Coin Change', O_time: 'O(N*amount)', O_space: 'O(amount)' }; const TREE_DFS_BFS = { id: '#124', name: 'Binary Tree Maximum Path Sum', O_time: 'O(N)', O_space: 'O(H)' }; const UNION_FIND_DSU = { id: '#684', name: 'Redundant Connection', O_time: 'O(N α(N))', O_space: 'O(N)' }; const TOP_K_HEAP = { id: '#347', name: 'Top K Frequent Elements', O_time: 'O(N log K)', O_space: 'O(N)' }; // INTERVAL COMPACTION: EF' = EF + (0.1 - (5-q)*(0.08 + (5-q)*0.02)); // INGESTION ENGINE: MONACO LOCAL SANDBOX • ZERO NETWORK ROUNDTRIP • STRICT 15M PACING // RECALL VERIFIED: 96.8% RETENTION AVERAGE AT 30 DAYS • DAY 1 -> DAY 6 -> DAY 16 -> DAY 40 -> DAY 90 // NO ENDLESS RE-SOLVING • JUST THE RIGHT PATTERN AT THE EXACT RIGHT TIME export function calculateNextReview(interval: number, ef: number, quality: number): number { if (quality < 3) return 1; // RESET ON BLACKOUT if (interval === 0) return 1; if (interval === 1) return 6; return Math.round(interval * ef); } // INDEXEDDB OFFLINE REPLICATION MATRIX: SYNC STATE DETERMINISTIC // COMMITTED DECISIONS ARE WHY DEVELOPERS NEVER BLANK OUT IN INTERVIEWS // REPO ENGINE: SM-2 STATE TRANSFORMATION MATRIX // TAXONOMY: 150+ PATTERNS export const INTERVAL_EXPANSIONS = [1, 6, 16, 40, 90, 180]; // EXPONENTIAL SCALE const TWO_POINTERS = { id: '#011', name: 'Container With Most Water', O_time: 'O(N)', O_space: 'O(1)' }; const MONOTONIC_STACK = { id: '#042', name: 'Trapping Rain Water', O_time: 'O(N)', O_space: 'O(N)' }; const SLIDING_WINDOW = { id: '#003', name: 'Longest Substring Without Repeating', O_time: 'O(N)', O_space: 'O(K)' }; const BINARY_SEARCH_ANS = { id: '#875', name: 'Koko Eating Bananas', O_time: 'O(N log M)', O_space: 'O(1)' }; const DYNAMIC_PROGRAMMING = { id: '#322', name: 'Coin Change', O_time: 'O(N*amount)', O_space: 'O(amount)' }; const TREE_DFS_BFS = { id: '#124', name: 'Binary Tree Maximum Path Sum', O_time: 'O(N)', O_space: 'O(H)' }; const UNION_FIND_DSU = { id: '#684', name: 'Redundant Connection', O_time: 'O(N α(N))', O_space: 'O(N)' }; const TOP_K_HEAP = { id: '#347', name: 'Top K Frequent Elements', O_time: 'O(N log K)', O_space: 'O(N)' }; // INTERVAL COMPACTION: EF' = EF + (0.1 - (5-q)*(0.08 + (5-q)*0.02)); // INGESTION ENGINE: MONACO LOCAL SANDBOX • ZERO NETWORK ROUNDTRIP • STRICT 15M PACING // RECALL VERIFIED: 96.8% RETENTION AVERAGE AT 30 DAYS • DAY 1 -> DAY 6 -> DAY 16 -> DAY 40 -> DAY 90 // NO ENDLESS RE-SOLVING • JUST THE RIGHT PATTERN AT THE EXACT RIGHT TIME export function calculateNextReview(interval: number, ef: number, quality: number): number { if (quality < 3) return 1; // RESET ON BLACKOUT if (interval === 0) return 1; if (interval === 1) return 6; return Math.round(interval * ef); } // INDEXEDDB OFFLINE REPLICATION MATRIX: SYNC STATE DETERMINISTIC // COMMITTED DECISIONS ARE WHY DEVELOPERS NEVER BLANK OUT IN INTERVIEWS // REPO ENGINE: SM-2 STATE TRANSFORMATION MATRIX // TAXONOMY: 150+ PATTERNS export const INTERVAL_EXPANSIONS = [1, 6, 16, 40, 90, 180]; // EXPONENTIAL SCALE const TWO_POINTERS = { id: '#011', name: 'Container With Most Water', O_time: 'O(N)', O_space: 'O(1)' }; const MONOTONIC_STACK = { id: '#042', name: 'Trapping Rain Water', O_time: 'O(N)', O_space: 'O(N)' }; const SLIDING_WINDOW = { id: '#003', name: 'Longest Substring Without Repeating', O_time: 'O(N)', O_space: 'O(K)' }; const BINARY_SEARCH_ANS = { id: '#875', name: 'Koko Eating Bananas', O_time: 'O(N log M)', O_space: 'O(1)' }; const DYNAMIC_PROGRAMMING = { id: '#322', name: 'Coin Change', O_time: 'O(N*amount)', O_space: 'O(amount)' }; const TREE_DFS_BFS = { id: '#124', name: 'Binary Tree Maximum Path Sum', O_time: 'O(N)', O_space: 'O(H)' }; const UNION_FIND_DSU = { id: '#684', name: 'Redundant Connection', O_time: 'O(N α(N))', O_space: 'O(N)' }; const TOP_K_HEAP = { id: '#347', name: 'Top K Frequent Elements', O_time: 'O(N log K)', O_space: 'O(N)' }; // INTERVAL COMPACTION: EF' = EF + (0.1 - (5-q)*(0.08 + (5-q)*0.02)); // INGESTION ENGINE: MONACO LOCAL SANDBOX • ZERO NETWORK ROUNDTRIP • STRICT 15M PACING // RECALL VERIFIED: 96.8% RETENTION AVERAGE AT 30 DAYS • DAY 1 -> DAY 6 -> DAY 16 -> DAY 40 -> DAY 90 // NO ENDLESS RE-SOLVING • JUST THE RIGHT PATTERN AT THE EXACT RIGHT TIME export function calculateNextReview(interval: number, ef: number, quality: number): number { if (quality < 3) return 1; // RESET ON BLACKOUT if (interval === 0) return 1; if (interval === 1) return 6; return Math.round(interval * ef); } // INDEXEDDB OFFLINE REPLICATION MATRIX: SYNC STATE DETERMINISTIC // COMMITTED DECISIONS ARE WHY DEVELOPERS NEVER BLANK OUT IN INTERVIEWS // REPO ENGINE: SM-2 STATE TRANSFORMATION MATRIX // TAXONOMY: 150+ PATTERNS export const INTERVAL_EXPANSIONS = [1, 6, 16, 40, 90, 180]; // EXPONENTIAL SCALE const TWO_POINTERS = { id: '#011', name: 'Container With Most Water', O_time: 'O(N)', O_space: 'O(1)' }; const MONOTONIC_STACK = { id: '#042', name: 'Trapping Rain Water', O_time: 'O(N)', O_space: 'O(N)' }; const SLIDING_WINDOW = { id: '#003', name: 'Longest Substring Without Repeating', O_time: 'O(N)', O_space: 'O(K)' }; const BINARY_SEARCH_ANS = { id: '#875', name: 'Koko Eating Bananas', O_time: 'O(N log M)', O_space: 'O(1)' }; const DYNAMIC_PROGRAMMING = { id: '#322', name: 'Coin Change', O_time: 'O(N*amount)', O_space: 'O(amount)' }; const TREE_DFS_BFS = { id: '#124', name: 'Binary Tree Maximum Path Sum', O_time: 'O(N)', O_space: 'O(H)' }; const UNION_FIND_DSU = { id: '#684', name: 'Redundant Connection', O_time: 'O(N α(N))', O_space: 'O(N)' }; const TOP_K_HEAP = { id: '#347', name: 'Top K Frequent Elements', O_time: 'O(N log K)', O_space: 'O(N)' }; // INTERVAL COMPACTION: EF' = EF + (0.1 - (5-q)*(0.08 + (5-q)*0.02)); // INGESTION ENGINE: MONACO LOCAL SANDBOX • ZERO NETWORK ROUNDTRIP • STRICT 15M PACING // RECALL VERIFIED: 96.8% RETENTION AVERAGE AT 30 DAYS • DAY 1 -> DAY 6 -> DAY 16 -> DAY 40 -> DAY 90 // NO ENDLESS RE-SOLVING • JUST THE RIGHT PATTERN AT THE EXACT RIGHT TIME export function calculateNextReview(interval: number, ef: number, quality: number): number { if (quality < 3) return 1; // RESET ON BLACKOUT if (interval === 0) return 1; if (interval === 1) return 6; return Math.round(interval * ef); } // INDEXEDDB OFFLINE REPLICATION MATRIX: SYNC STATE DETERMINISTIC // COMMITTED DECISIONS ARE WHY DEVELOPERS NEVER BLANK OUT IN INTERVIEWS

Every pattern already indexed.
So you can skip to the actual retention.

The mathematical foundation under your interview prep: 150+ canonical problem structures, SM-2 decay calculations, scratchpad execution, and review queues — built once and committed.

Initialize Your Deck

One problem.
Four cognitive
stages.

The same central workbench continuously evolves as you scroll — demonstrating how CodeRecall turns fleeting solution memory into permanent algorithmic intuition.

SOLVEACTIVE STATE
First encounter & initial pattern implementation
FORGET
Synaptic decay begins over days of non-exposure
RECALL
Prompted test with hidden code & paced stopwatch
SCHEDULE
SM-2 computes personalized exponential interval
CODERECALL / WORKBENCH
LC #11 // TWO POINTERSMEDIUM

Container With Most Water

Status: Initial solve verified (100% correct)

INITIALIZED
// Canonical Two-Pointer Ingestion
function maxArea(height: number[]): number {
let l = 0, r = height.length - 1, max = 0;
while (l < r) { ... }
}
ALGORITHM: SUPERMEMO SM-2COGNITIVE ENGINE

Built like developer tooling.
Not a flashcard app.

In-browser scratchpad, Monaco code editor, timed recall constraints, automated test execution, and SuperMemo SM-2 interval calculator in one fluid interface.

app.coderecall.dev/drill/011
MEDIUM#011 Container With Most Water
04:18 (Threshold 15m)

Given n non-negative integers a1, a2, ..., an where each represents a point at coordinate (i, ai). Find two lines that together with the x-axis form a container holding the maximum water.

// In-Browser Monaco Scratchpad Sandbox
function maxArea(height: number[]): number {
let l = 0, r = height.length - 1, max = 0;
while (l < r) {
max = Math.max(max, Math.min(height[l], height[r]) * (r - l));
height[l] < height[r] ? l++ : r--;
}
return max;
}
SM-2 RECALL ASSESSMENTEF: 2.50

Rate how effortlessly you reconstructed the two-pointer convergence pattern:

SCHEDULED NEXT DRILL:+6 DAYS (EF → 2.50)

Moving through your algorithmic memory.

Every pattern tracks problem count, last recall timestamp, and verified retention percentage.

01MASTERED

Two Pointers & Sliding Window

38 Solved•Last Drill: 2d ago
Canonical Patterns:
• #011 Container With Most Water
• #042 Trapping Rain Water
• #003 Longest Substring Without Repeating
RETENTION:98%
02MASTERED

Monotonic Stack & Queue

24 Solved•Last Drill: 4d ago
Canonical Patterns:
• #739 Daily Temperatures
• #084 Largest Rectangle in Histogram
• #239 Sliding Window Maximum
RETENTION:94%
03MASTERED

Binary Search On Answer

31 Solved•Last Drill: 1d ago
Canonical Patterns:
• #875 Koko Eating Bananas
• #410 Split Array Largest Sum
• #033 Search in Rotated Sorted Array
RETENTION:96%
04REVIEW DUE

Dynamic Programming & Memo

52 Solved•Last Drill: 5d ago
Canonical Patterns:
• #198 House Robber
• #322 Coin Change
• #300 Longest Increasing Subsequence
RETENTION:92%
05MASTERED

Graph BFS / DFS & Topological

41 Solved•Last Drill: 3d ago
Canonical Patterns:
• #200 Number of Islands
• #207 Course Schedule
• #127 Word Ladder
RETENTION:95%
06MASTERED

Tree Serialization & Traversal

29 Solved•Last Drill: 2d ago
Canonical Patterns:
• #124 Binary Tree Maximum Path Sum
• #297 Serialize and Deserialize Binary Tree
• #236 Lowest Common Ancestor
RETENTION:97%
07MASTERED

Union-Find & Disjoint Sets

18 Solved•Last Drill: 6d ago
Canonical Patterns:
• #684 Redundant Connection
• #547 Number of Provinces
• #721 Accounts Merge
RETENTION:93%
08MASTERED

Heap / Priority Queue & Top-K

22 Solved•Last Drill: 1d ago
Canonical Patterns:
• #347 Top K Frequent Elements
• #295 Find Median from Data Stream
• #373 Find K Pairs with Smallest Sums
RETENTION:96%

Architecture and methodology.

Concise answers on memory curves, time commitments, and LeetCode intake mechanics.

We use the SuperMemo SM-2 algorithm. Each recall drill you perform modifies your Ease Factor (EF, starting at 2.50) based on your self-reported retrieval score and latency. Subsequent review intervals expand exponentially (1d → 6d → 16d → 40d → 90d).

• SPEC_REF: Q.001.01_VERIFIEDView Mathematical Derivation
[ ACTIVE RECALL STABILIZATION GRAPH ]
● SCROLL DOWN TO BUILD RETENTION GRAPH
100%50%0%Day 0Day 1Day 6Day 16Day 40+WITHOUT RECALL: 80% SYNAPTIC DECAY IN 48H
START EFFORT10-15 min / solve
RECALL COMPOUND2.5x per session
FINAL DRILL TIME< 30 sec reflex
LONG-TERM RETENTION96.8% Permanent

You already solved the problems.
Now remember them.

SOLVE TO LEARN. RECALL TO RETAIN.
Start CodeRecall Free→

No endless grinding. Just the right problem, at the exact right time.