DSA Explorer
QuicksortMerge SortBubble SortInsertion SortSelection SortHeap SortCounting SortRadix SortBucket SortShell SortTim SortCocktail Shaker SortComb SortGnome SortPancake SortPatience SortCycle SortStrand SortWiggle Sort (Wave Sort)Bead Sort (Gravity Sort)Binary Insertion SortBitonic SortBogo Sort (Stupid Sort)Stooge SortOdd-Even Sort (Brick Sort)Pigeonhole SortIntro Sort (Introspective Sort)Tree Sort (BST Sort)Dutch National Flag (3-Way Partitioning)
Binary SearchLinear SearchJump SearchInterpolation SearchExponential SearchTernary SearchFibonacci SearchQuick Select (k-th Smallest)Median of Medians (Deterministic Select)Hill climbingSimulated AnnealingTabu SearchBinary Tree DFS SearchSentinel Linear SearchDouble Linear SearchTernary Search (Unimodal Function)Search in 2D Matrix
Binary Search Tree (BST)StackQueueHash Table (Hash Map)Heap (Priority Queue)Linked ListTrie (Prefix Tree)Binary TreeTrie (Prefix Tree)Floyd's Cycle Detection (Tortoise and Hare)Merge Two Sorted Linked ListsCheck if Linked List is PalindromeFind Middle of Linked ListBalanced Parentheses (Valid Parentheses)Next Greater ElementInfix to Postfix ConversionMin Stack (O(1) getMin)Largest Rectangle in HistogramDaily Temperatures (Monotonic Stack)Evaluate Reverse Polish NotationInfix Expression Evaluation (Two Stacks)Min Heap & Max HeapSliding Window MaximumTrapping Rain WaterRotate Matrix 90 DegreesSpiral Matrix TraversalSet Matrix ZeroesHash Table with ChainingOpen Addressing (Linear Probing)Double HashingCuckoo Hashing
Depth-First Search (DFS)Breadth-First Search (BFS)Dijkstra's AlgorithmFloyd-Warshall AlgorithmKruskal's AlgorithmPrim's AlgorithmTopological SortA* Pathfinding AlgorithmKahn's Algorithm (Topological Sort)Ford-Fulkerson Max FlowEulerian Path/CircuitBipartite Graph CheckBorůvka's Algorithm (MST)Bidirectional DijkstraPageRank AlgorithmBellman-Ford AlgorithmTarjan's Strongly Connected ComponentsArticulation Points (Cut Vertices)Find Bridges (Cut Edges)Articulation Points (Cut Vertices)Finding Bridges (Cut Edges)
0/1 Knapsack ProblemLongest Common Subsequence (LCS)Edit Distance (Levenshtein Distance)Longest Increasing Subsequence (LIS)Coin Change ProblemFibonacci Sequence (DP)Matrix Chain MultiplicationRod Cutting ProblemPalindrome Partitioning (Min Cuts)Subset Sum ProblemWord Break ProblemLongest Palindromic SubsequenceMaximal Square in MatrixInterleaving StringEgg Drop ProblemUnique Paths in GridCoin Change II (Count Ways)Decode WaysWildcard Pattern MatchingRegular Expression MatchingDistinct SubsequencesMaximum Product SubarrayHouse RobberClimbing StairsPartition Equal Subset SumKadane's Algorithm (Maximum Subarray)
A* Search AlgorithmConvex Hull (Graham Scan)Line Segment IntersectionCaesar CipherVigenère CipherRSA EncryptionHuffman CompressionRun-Length Encoding (RLE)Lempel-Ziv-Welch (LZW)Canny Edge DetectionGaussian Blur FilterSobel Edge FilterHarris Corner DetectionHistogram EqualizationMedian FilterLaplacian FilterMorphological ErosionMorphological DilationImage Thresholding (Otsu's Method)Conway's Game of LifeLangton's AntRule 30 Cellular AutomatonFast Fourier Transform (FFT)Butterworth FilterSpectrogram (STFT)
Knuth-Morris-Pratt (KMP) AlgorithmRabin-Karp AlgorithmBoyer-Moore AlgorithmAho-Corasick AlgorithmManacher's AlgorithmSuffix ArraySuffix Tree (Ukkonen's Algorithm)Trie for String MatchingEdit Distance for StringsLCS for String MatchingHamming DistanceJaro-Winkler DistanceDamerau-Levenshtein DistanceBitap Algorithm (Shift-Or, Baeza-Yates-Gonnet)Rolling Hash (Rabin-Karp Hash)Manacher's AlgorithmZ AlgorithmLevenshtein Distance

Binary ↔ Decimal Conversion

Mathematics
O(log n) time, O(log n) space
Beginner

Convert between binary (base-2) and decimal (base-10) number systems. Fundamental for computer science. Binary uses only 0 and 1, decimal uses 0-9.

Prerequisites:
Basic arithmetic
Positional number systems
Powers of 2
Division with remainders

Visualization

Interactive visualization for Binary ↔ Decimal Conversion

Interactive visualization with step-by-step execution

Implementation

Language:
1class BinaryDecimalConverter {
2  decimalToBinary(decimal: number): string {
3    if (decimal === 0) return '0';
4    if (decimal < 0) return '-' + this.decimalToBinary(-decimal);
5    
6    let binary = '';
7    while (decimal > 0) {
8      binary = (decimal % 2) + binary;
9      decimal = Math.floor(decimal / 2);
10    }
11    return binary;
12  }
13  
14  binaryToDecimal(binary: string): number {
15    let decimal = 0;
16    let power = 0;
17    
18    // Handle negative
19    const isNegative = binary.startsWith('-');
20    binary = binary.replace('-', '');
21    
22    // Process from right to left
23    for (let i = binary.length - 1; i >= 0; i--) {
24      if (binary[i] === '1') {
25        decimal += Math.pow(2, power);
26      }
27      power++;
28    }
29    
30    return isNegative ? -decimal : decimal;
31  }
32  
33  // Using built-in methods
34  decimalToBinaryBuiltin(decimal: number): string {
35    return decimal.toString(2);
36  }
37  
38  binaryToDecimalBuiltin(binary: string): number {
39    return parseInt(binary, 2);
40  }
41}

Deep Dive

Theoretical Foundation

Decimal to binary: repeatedly divide by 2, record remainders in reverse. Binary to decimal: multiply each bit by 2^position and sum. Position 0 is rightmost. Example: 1011₂ = 1×2³ + 0×2² + 1×2¹ + 1×2⁰ = 11₁₀

Complexity

Time

Best

O(log n)

Average

O(log n)

Worst

O(log n)

Space

Required

O(log n)

Applications

Industry Use

1

Computer programming and debugging

2

Digital circuit design and analysis

3

Network protocol implementation

4

Embedded systems programming

5

Cryptography and security systems

6

Data compression algorithms

7

Assembly language programming

8

Computer graphics and image processing

Use Cases

Computer systems
Digital logic
Network protocols
Low-level programming

Related Algorithms

GCD (Euclidean Algorithm)

Compute the Greatest Common Divisor (GCD) of two integers using the Euclidean algorithm. Dating back to around 300 BC and appearing in Euclid's Elements, it's one of the oldest algorithms still in common use. The algorithm is based on the principle that GCD(a,b) = GCD(b, a mod b) and is remarkably efficient with O(log min(a,b)) time complexity. The GCD is the largest positive integer that divides both numbers without remainder.

Mathematics

LCM (Least Common Multiple)

Calculate the Least Common Multiple (LCM) of two integers - the smallest positive integer that is divisible by both numbers. The LCM is intimately related to the GCD through the formula: LCM(a,b) = |a×b| / GCD(a,b). This relationship allows us to compute LCM efficiently using the Euclidean algorithm for GCD, achieving O(log min(a,b)) time complexity instead of naive factorization methods.

Mathematics

Sieve of Eratosthenes

Ancient and highly efficient algorithm to find all prime numbers up to a given limit n. Invented by Greek mathematician Eratosthenes of Cyrene (276-194 BC), this sieve method systematically eliminates multiples of primes, leaving only primes in the array. With O(n log log n) time complexity, it remains one of the most practical algorithms for generating large lists of primes, vastly superior to trial division which runs in O(n² / log n) time.

Mathematics

Prime Factorization

Decompose a positive integer into its unique prime factor representation. Every integer greater than 1 can be expressed as a product of prime numbers in exactly one way (Fundamental Theorem of Arithmetic). This algorithm uses trial division optimized to check only up to √n, as any composite number must have a prime factor ≤ √n. Returns a map of prime factors to their powers, e.g., 360 = 2³ × 3² × 5¹.

Mathematics
DSA Explorer

Master Data Structures and Algorithms through interactive visualizations and detailed explanations. Our platform helps you understand complex concepts with clear examples and real-world applications.

Quick Links

  • About DSA Explorer
  • All Algorithms
  • Data Structures
  • Contact Support

Legal

  • Privacy Policy
  • Terms of Service
  • Cookie Policy
  • Code of Conduct

Stay Updated

Subscribe to our newsletter for the latest algorithm explanations, coding challenges, and platform updates.

We respect your privacy. Unsubscribe at any time.

© 2026 Momin Studio. All rights reserved.

SitemapAccessibility
v1.0.0