Rapid Revision Engine

The Formula Matrix & Decidability Map

High-density quick references designed for the final 30 days of preparation. Decidability bounds, asymptotic runtimes, and hardware formula tables.

Theory of Computation

Decidability of Standard Problems Matrix

1-2 Marks Guaranteed in Every GATE Paper

D = Decidable (An algorithm exists that halts on all inputs with Yes/No) • U = Undecidable (No algorithm exists).

Problem Name Regular DCFL CFL CSL Recursive (REC) RE
Membership (\(w \in L\)) D D D (CYK) D D U
Emptiness (\(L = \emptyset\)) D D D U U U
Finiteness (\(|L| < \infty\)) D D D U U U
Equivalence (\(L_1 = L_2\)) D D (Sénizergues) U U U U
Subset (\(L_1 \subseteq L_2\)) D U U U U U
Totality (\(L = \Sigma^*\)) D D U U U U
Disjointness (\(L_1 \cap L_2 = \emptyset\)) D U U U U U
Ambiguity of Grammar D (NFA\to DFA) D (Unambiguous) U U U U
Regularity (\(\text{Is } L \text{ Regular?}\)) D D (Stearns) U U U U
Theory of Computation

Closure Properties Master Matrix

Essential for MSQ Elimination
Operation Regular DCFL CFL CSL Recursive (REC) RE
Union (\(L_1 \cup L_2\)) Yes No Yes Yes Yes Yes
Intersection (\(L_1 \cap L_2\)) Yes No No Yes Yes Yes
Complementation (\(\overline{L}\)) Yes Yes No Yes (Immerman) Yes No
Concatenation (\(L_1 \cdot L_2\)) Yes No Yes Yes Yes Yes
Kleene Star (\(L^*\)) Yes No Yes Yes Yes Yes
Intersection with Regular (\(L \cap R\)) Yes Yes Yes Yes Yes Yes
Homomorphism Yes No Yes No (\(\epsilon\)-free: Yes) No Yes
Inverse Homomorphism Yes Yes Yes Yes Yes Yes
Reversal (\(L^R\)) Yes No Yes Yes Yes Yes
Algorithms & Data Structures

Sorting & Graph Algorithms Complexity Compendium

CLRS Complete Asymptotic Bounds
Algorithm Best Time Average Time Worst Time Worst Space Stable? In-Place?
MergeSort \(\Omega(n \log n)\) \(\Theta(n \log n)\) \(O(n \log n)\) \(O(n)\) Yes No
QuickSort (Randomized) \(\Omega(n \log n)\) \(\Theta(n \log n)\) \(O(n^2)\) \(O(\log n)\) (Call stack) No Yes
HeapSort \(\Omega(n \log n)\) \(\Theta(n \log n)\) \(O(n \log n)\) \(O(1)\) No Yes
InsertionSort \(\Omega(n)\) \(\Theta(n^2)\) \(O(n^2)\) \(O(1)\) Yes Yes
CountingSort \(\Omega(n + k)\) \(\Theta(n + k)\) \(O(n + k)\) \(O(k)\) Yes No
Dijkstra (Binary Heap) \(\Theta((V + E) \log V)\) \(O(V)\) Requires all edge weights \(\ge 0\)
Bellman-Ford \(O(V \cdot E)\) \(O(V)\) Detects negative weight cycles
Floyd-Warshall \(\Theta(V^3)\) \(\Theta(V^2)\) All-pairs shortest paths via DP
Kruskal (Disjoint Set) \(O(E \log E) = O(E \log V)\) \(O(V)\) Greedy Minimum Spanning Tree
Hardware & Systems

High-Yield Architecture & Network Formulas

Standard Numerical Plug-in Formulas

Computer Organization & Architecture

Pipelining Ideal Speedup: S = \frac{n \cdot k}{k + n - 1 + \text{stalls}} \implies \lim_{n \to \infty} S = \frac{k}{1 + \text{stalls\_per\_inst}}
Cache Hierarchy Access Time: T_{avg} = h_1 t_1 + (1 - h_1)[h_2 t_2 + (1 - h_2) t_{mem}]
DMA Cycle Stealing CPU Overhead: \text{CPU Block Fraction} = \frac{\text{Memory Cycle Time}}{\text{Device Word Production Interval}}

Computer Networks & Operating Systems

Sliding Window Efficiency & Sequence Bits: \eta = \frac{W_S}{1 + 2a} \quad \text{where } a = \frac{T_p}{T_t}; \quad W_S + W_R \le 2^k
CSMA/CD Minimum Frame Length: L_{min} \ge 2 \cdot Bandwidth \cdot \frac{\text{Distance}}{\text{Propagation Velocity}}
Inverted Page Table Size: \text{Size} = \frac{\text{Physical RAM Size}}{\text{Page Size}} \times (\text{PID Bits} + \text{VPN Bits} + \text{Protection Bits})