Data Modelling & AI Data Structure & Algorithm

Generate matrix from given Sparse Matrix using Linked List and reconstruct the Sparse Matrix

23 June 2025

0

Given a sparse matrix mat[][] of dimensions N*M, the task is to construct and represent the original matrix using a Linked List and reconstruct the givensparse matrix.

Examples:

Input: mat[][] = {{0, 1, 0, 0, 0}, {0, 1, 0, 0, 0}, {0, 0, 2, 0, 0}, {0, 3, 0, 0, 4}, {0, 0, 5, 0, 0}}
Output:
Linked list representation: (4, 2, 5) ? (3, 4, 4) ? (3, 1, 3) ? (2, 2, 2) ? (1, 1, 1) ? (0, 1, 1) ? NULL
Original matrix:
{{0, 1, 0, 0, 0},
{0, 1, 0, 0, 0},
{0, 0, 2, 0, 0},
{0, 3, 0, 0, 4}
{0, 0, 5, 0, 0}}

Input: mat[][] = {{0, 0, 0, 4, 0}, {0, 1, 0, 0, 0}}
Output:
Linked list representation: (1, 1, 1) ? (0, 3, 4) ? NULL
Original matrix:
{{0, 0, 0, 4, 0},
{0, 1, 0, 0, 0}}

Approach: The given problem can be solved by storing the row index, column index, its value, and the next pointer of all non-zero elements in the node of the linked list. Follow the steps below to solve the problem:

For the construction of the sparse matrix using a linked list, traverse the matrix, and for every non-zero element create a new node and insert this newly created node to the beginning of the list.
For the reconstruction, create an auxiliary 2D array of dimensions N*M with all entries as 0, then traverse the linked list and update all the non-zero elements in this newly created array.

Below is the implementation of the above approach:

C++

// C++ program for the above approach
#include <iostream>
#include <vector>
 
using namespace std;
 
// Linked list node
struct SNode {
    int data;
    int Col;
    int Row;
    SNode* next;
};
 
// Store the head pointer of the linked list
// and the size of the matrix
struct MatrixNode {
    vector<vector<int> > Matrix;
    SNode* SNPTR;
};
 
// Function to create a new node
SNode* CreateList(int Row, int Col, int data)
{
 
    // Create a new node
    SNode* New = new SNode();
 
    // Update the value and the row
    // and column index and set the
    // next pointer to NULL
    New->data = data;
    New->Col = Col;
    New->Row = Row;
    New->next = NULL;
 
    return New;
}
 
// Function to insert a node at the
// beginning of the linked list
MatrixNode* AddInList(MatrixNode* MNhead, int Row, int Col,
                      int data)
{
    MatrixNode* Mptr = MNhead;
 
    // Create a new node
    SNode* New = CreateList(Row, Col, data);
 
    // If the head is NULL, point it to the newly
    // created node
    if (Mptr->SNPTR == NULL) {
        Mptr->SNPTR = New;
        return MNhead;
    }
 
    // Insert this node at beginning
    New->next = Mptr->SNPTR;
 
    // Update the head pointer
    Mptr->SNPTR = New;
 
    return MNhead;
}
 
// Function to construct the sparse
// matrix using linked list
MatrixNode*
ConstructSparseMatrix(MatrixNode* MNhead,
                      vector<vector<int> > Matrix,
                      SNode* SNhead)
{
    MatrixNode* Mptr = MNhead;
 
    // If the head pointer is NULL
    if (MNhead == NULL) {
        MNhead = new MatrixNode();
        MNhead->Matrix = Matrix;
        MNhead->SNPTR = SNhead;
    }
 
    Mptr = MNhead;
 
    // Traverse the matrix, row-wise
    for (int i = 0; i < Mptr->Matrix.size(); i++) {
        for (int j = 0; j < Mptr->Matrix[i].size(); j++) {
            // For all non-zero values, push them in linked
            // list
            if (Matrix[i][j] != 0)
                MNhead
                    = AddInList(MNhead, i, j, Matrix[i][j]);
        }
    }
    return MNhead;
}
 
// Function to reconstruct the sparse
// matrix using linked list
void ReConstructArray(MatrixNode* MNhead)
{
    int i, j;
    SNode* Sptr = MNhead->SNPTR;
 
    // Create a 2D array
    vector<vector<int> > OriginalMatrix(
        MNhead->Matrix.size(),
        vector<int>(MNhead->Matrix[0].size()));
 
    // Initialize all the elements in the original matrix as
    // 0
    for (i = 0; i < MNhead->Matrix.size(); i++) {
        for (j = 0; j < MNhead->Matrix[i].size(); j++) {
            OriginalMatrix[i][j] = 0;
        }
    }
 
    // Print the linked list representation:
    cout << "Linked list representation:" << endl;
 
    // Iterate while sptr pointer is not NULL
    while (Sptr != NULL) {
        // Update the element in the original matrix and
        // print the current node:
        OriginalMatrix[Sptr->Row][Sptr->Col] = Sptr->data;
        cout << "(" << Sptr->Row << ", " << Sptr->Col
             << ", " << OriginalMatrix[Sptr->Row][Sptr->Col]
             << ")->";
        // Move to the next node:
        Sptr = Sptr->next;
    }
    cout << "NULL" << endl;
 
    // Print the original matrix
    cout << "Original Matrix Re-Construction:" << endl;
    for (i = 0; i < MNhead->Matrix.size(); i++) {
        for (j = 0; j < MNhead->Matrix[i].size(); j++) {
            cout << OriginalMatrix[i][j] << ", ";
        }
        cout << endl;
    }
}
 
int main()
{
    // Initialize the head pointer of the linked list
    MatrixNode* MNhead = NULL;
    SNode* SNhead = NULL;
 
    // Create the dense matrix
    vector<vector<int> > Matrix = { { 0, 1, 0, 0, 0 },
                                    { 0, 1, 0, 0, 0 },
                                    { 0, 0, 2, 0, 0 },
                                    { 0, 3, 0, 0, 4 },
                                    { 0, 0, 5, 0, 0 } };
 
    // Construct the sparse matrix
    MNhead = ConstructSparseMatrix(MNhead, Matrix, SNhead);
 
    // Reconstruct the original matrix
    ReConstructArray(MNhead);
 
    return 0;
}
 
// This code is contributed by lokeshmvs21.

C

// C program for the above approach
 
#include <stdio.h>
#include <stdlib.h>
 
// Store the size of sparse matrix
#define R 5
#define C 5
 
// Linked list node
typedef struct SNode {
    int data;
    int Col;
    int Row;
    struct SNode* next;
} SparseNode;
 
// Store the head pointer of the linked
// list and the size of the matrix
typedef struct MNode {
    int Matrix[2];
    SparseNode* SNPTR;
} MatrixNode;
 
// Function to initialize the head of
// the linked list
MatrixNode* ConstructMNhead(
    MatrixNode* MNhead, SparseNode* SNhead)
{
 
    MNhead = (MatrixNode*)malloc(sizeof(MNhead));
 
    // Update the number of rows and
    // columns and update head pointer
    MNhead->Matrix[0] = R;
    MNhead->Matrix[1] = C;
    MNhead->SNPTR = SNhead;
 
    return MNhead;
}
 
// Function to create a new node
SparseNode* CreateList(int Row, int Col,
                       int data)
{
 
    // Create a new node
    SparseNode* New
        = (SparseNode*)malloc(sizeof(SparseNode));
 
    // Update the value and the row
    // and column index and set the
    // next pointer to NULL
    New->data = data;
    New->Col = Col;
    New->Row = Row;
    New->next = NULL;
 
    return New;
}
 
// Function to insert a node at the
// beginning of the  linked list
MatrixNode* AddInList(
    MatrixNode* MNhead, int Row,
    int Col, int data)
{
    MatrixNode* Mptr = MNhead;
 
    // Create a new node
    SparseNode* New = CreateList(
        Row, Col, data);
 
    // If the head is NULL, point it
    // to the newly created node
    if (Mptr->SNPTR == NULL) {
        Mptr->SNPTR = New;
        return MNhead;
    }
 
    // Insert this node at beginning
    New->next = Mptr->SNPTR;
 
    // Update the head pointer
    Mptr->SNPTR = New;
 
    return MNhead;
}
 
// Function to construct the sparse
// matrix using linked list
MatrixNode* ConstructSparseMatrix(
    MatrixNode* MNhead, int Matrix[R][C],
    SparseNode* SNhead)
{
    int i, j;
    MatrixNode* Mptr = MNhead;
 
    // If the head pointer is NULL
    if (MNhead == NULL) {
        MNhead = ConstructMNhead(
            MNhead, SNhead);
    }
 
    Mptr = MNhead;
 
    // Traverse the matrix, row-wise
    for (i = 0;
         i < Mptr->Matrix[0]; i++) {
        for (j = 0;
             j < Mptr->Matrix[1]; j++) {
 
            // For all non-zero values,
            // push them in linked list
            if (Matrix[i][j])
                MNhead = AddInList(
                    MNhead, i, j,
                    Matrix[i][j]);
        }
    }
 
    return MNhead;
}
 
// Function to reconstruct the sparse
// matrix using linked list
void ReConstructArray(MatrixNode* MNhead)
{
    int i, j;
    SparseNode* Sptr = MNhead->SNPTR;
 
    // Create a 2D array
    int** OriginalMatrix
 
        = (int**)malloc(sizeof(int*)
                        * MNhead->Matrix[0]);
 
    for (i = 0;
         i < MNhead->Matrix[0]; i++) {
        OriginalMatrix[i]
            = (int*)malloc(sizeof(int)
                           * MNhead->Matrix[1]);
    }
 
    // Initialize all the elements
    // in the original matrix as 0
    for (i = 0;
         i < MNhead->Matrix[0]; i++) {
 
        for (j = 0;
             j < MNhead->Matrix[1]; j++) {
            OriginalMatrix[i][j] = 0;
        }
    }
 
    // Print the linked list
    printf("Linked list represe"
           "ntation:\n");
 
    // Iterate while sptr pointer is not NULL
    while (Sptr != NULL) {
 
        // Update the element in the
        // original matrix and print
        // the current node
        OriginalMatrix[Sptr->Row][Sptr->Col]
            = Sptr->data;
 
        printf("(%d, %d, %d)->",
               Sptr->Row, Sptr->Col,
               OriginalMatrix[Sptr->Row][Sptr->Col]);
 
        // Move to the next node
        Sptr = Sptr->next;
    }
    printf("NULL\n");
 
    // Print the reconstructed matrix
    printf("Original Matrix Re"
           "-Construction:\n");
 
    for (i = 0; i < R; i++) {
        for (j = 0; j < C; j++) {
            printf("%d, ", OriginalMatrix[i][j]);
        }
        printf("\n");
    }
}
 
// Create a head of the linked list
MatrixNode* MNhead = NULL;
SparseNode* SNhead = NULL;
 
// Driver Code
int main()
{
    int Matrix[R][C] = { { 0, 1, 0, 0, 0 },
                         { 0, 1, 0, 0, 0 },
                         { 0, 0, 2, 0, 0 },
                         { 0, 3, 0, 0, 4 },
                         { 0, 0, 5, 0, 0 } };
    int** OriginalMatrix;
 
    // Sparse matrix Construction
    MNhead = ConstructSparseMatrix(
        MNhead, Matrix, SNhead);
 
    // Sparse matrix Re-Construction
    ReConstructArray(MNhead);
 
    return 0;
}

Java

// Java program for the above approach
import java.util.*;
 
class Main
{
   
    // Store the size of sparse matrix
    static int R = 5;
    static int C = 5;
 
    // Function to initialize the head of
    // the linked list
    public static MatrixNode
    ConstructMNhead(MatrixNode MNhead, SparseNode SNhead)
    {
        MNhead = new MatrixNode();
 
        // Update the number of rows and
        // columns and update head pointer
        MNhead.Matrix[0] = R;
        MNhead.Matrix[1] = C;
        MNhead.SNPTR = SNhead;
        return MNhead;
    }
 
    // Function to create a new node
    public static SparseNode CreateList(int Row, int Col,
                                        int data)
    {
        // Create a new node
        SparseNode New = new SparseNode();
 
        // Update the value and the row
        // and column index and set the
        // next pointer to NULL
        New.data = data;
        New.Col = Col;
        New.Row = Row;
        New.next = null;
 
        return New;
    }
 
    // Function to insert a node at the
    // beginning of the  linked list
    public static MatrixNode
    AddInList(MatrixNode MNhead, int Row, int Col, int data)
    {
        MatrixNode Mptr = MNhead;
 
        // Create a new node
        SparseNode New = CreateList(Row, Col, data);
 
        // If the head is NULL, point it to the newly
        // created node
        if (Mptr.SNPTR == null) {
            Mptr.SNPTR = New;
            return MNhead;
        }
 
        // Insert this node at beginning
        New.next = Mptr.SNPTR;
 
        // Update the head pointer
        Mptr.SNPTR = New;
 
        return MNhead;
    }
 
    // Function to construct the sparse
    // matrix using linked list
    public static MatrixNode
    ConstructSparseMatrix(MatrixNode MNhead, int[][] Matrix,
                          SparseNode SNhead)
    {
        int i, j;
        MatrixNode Mptr = MNhead;
 
        // If the head pointer is NULL
        if (MNhead == null) {
            MNhead = ConstructMNhead(MNhead, SNhead);
        }
 
        Mptr = MNhead;
 
        // Traverse the matrix, row-wise
        for (i = 0; i < Mptr.Matrix[0]; i++) {
            for (j = 0; j < Mptr.Matrix[1]; j++) {
                // For all non-zero values, push them in
                // linked list
                if (Matrix[i][j] != 0)
                    MNhead = AddInList(MNhead, i, j,
                                       Matrix[i][j]);
            }
        }
        return MNhead;
    }
 
    // Function to reconstruct the sparse
    // matrix using linked list
    public static void ReConstructArray(MatrixNode MNhead)
    {
        int i, j;
        SparseNode Sptr = MNhead.SNPTR;
 
        // Create a 2D array
        int[][] OriginalMatrix
            = new int[MNhead.Matrix[0]][MNhead.Matrix[1]];
 
        // Initialize all the elements in the original
        // matrix as 0
        for (i = 0; i < MNhead.Matrix[0]; i++) {
            for (j = 0; j < MNhead.Matrix[1]; j++) {
                OriginalMatrix[i][j] = 0;
            }
        }
 
        // Print the linked list representation:
        System.out.println("Linked list representation:");
 
        // Iterate while sptr pointer is not NULL
        while (Sptr != null) {
            // Update the element in the original matrix and
            // print the current node:
            OriginalMatrix[Sptr.Row][Sptr.Col] = Sptr.data;
            System.out.print(
                "(" + Sptr.Row + ", " + Sptr.Col + ", "
                + OriginalMatrix[Sptr.Row][Sptr.Col]
                + ")->");
            // Move to the next node:
            Sptr = Sptr.next;
        }
        System.out.println("NULL");
 
        // Print the reconstructed matrix
        System.out.println(
            "Original Matrix Re-Construction:");
 
        for (i = 0; i < R; i++) {
            for (j = 0; j < C; j++) {
                System.out.print(OriginalMatrix[i][j]
                                 + ", ");
            }
            System.out.println("");
        }
    }
 
    // Driver Code
    public static void main(String[] args)
    {
        // Create a head of the linked list
        MatrixNode MNhead = null;
        SparseNode SNhead = null;
 
        int[][] Matrix = { { 0, 1, 0, 0, 0 },
                           { 0, 1, 0, 0, 0 },
                           { 0, 0, 2, 0, 0 },
                           { 0, 3, 0, 0, 4 },
                           { 0, 0, 5, 0, 0 } };
        int[][] OriginalMatrix;
        // Sparse matrix Construction
        MNhead
            = ConstructSparseMatrix(MNhead, Matrix, SNhead);
        // Sparse matrix Re-Construction
        ReConstructArray(MNhead);
    }
}
 
// Linked list node
class SparseNode {
    int data;
    int Col;
    int Row;
    SparseNode next;
}
 
// Store the head pointer of the linked
// list and the size of the matrix
class MatrixNode {
    int[] Matrix = new int[2];
    SparseNode SNPTR;
}
 
// This code is contributed by Tapesh (tapeshdua420)

Python3

# python code for above approach
R = 5
C = 5
 
# linked list node
class SparseNode:
   
    # Function to initialize the node object
    def __init__(self, data, Col, Row):
        self.data = data  # Assign data
        self.Col = Col  # Assign Column
        self.Row = Row  # Assign Row
        self.next = None  # Initialize
        # next as null
 
# Store the head pointer of the linked
# list and the size of the matrix
class MatrixNode:
   
    # Function to initialize the node object
    def __init__(self, Matrix, SNPTR):
        self.Matrix = Matrix  # Initialize matrix
        self.SNPTR = None  # Initialize
        # SNPTR as null
 
# Function to initialize the head of
# the linked list
def ConstructMNhead(MNhead, SNhead):
   
    # add the number of rows and
    # columns and add head pointer
    MNhead = MatrixNode([R, C], SNhead)
    return MNhead
 
# Function to create a new node
 
 
def CreateList(Row, Col, data):
    # Create a new node
    New = SparseNode(data, Col, Row)
    return New
 
# Function to insert a node at the
# beginning of the  linked list
def AddInList(MNhead, Row, Col, data):
    Mptr = MNhead
    # Create a new node
    New = CreateList(Row, Col, data)
 
    # If the head is NULL, point it
    # to the newly created node
    if (Mptr.SNPTR == None):
        Mptr.SNPTR = New
        return MNhead
 
    # Insert this node at beginning
    New.next = Mptr.SNPTR
 
    # Update the head pointer
    Mptr.SNPTR = New
 
    return MNhead
 
# Function to construct the sparse
# matrix using linked list
def ConstructSparseMatrix(MNhead, Matrix,
                          SNhead):
    Mptr = MNhead
 
    # If the head pointer is NULL
    if (MNhead == None):
        MNhead = ConstructMNhead(
            MNhead, SNhead)
 
    Mptr = MNhead
 
    # Traverse the matrix, row-wise
    for i in range(0, Mptr.Matrix[0]):
        for j in range(0, Mptr.Matrix[1]):
 
            # For all non-zero values,
            # push them in linked list
            if (Matrix[i][j]):
                MNhead = AddInList(
                    MNhead, i, j,
                    Matrix[i][j])
 
    return MNhead
 
# Function to reconstruct the sparse
# matrix using linked list
def ReConstructArray(MNhead):
    Sptr = MNhead.SNPTR
 
    # Create a 2D array
    OriginalMatrix = []
 
    # Initialize all the elements
    # in the original matrix as 0
    for i in range(0, MNhead.Matrix[0]):
        OriginalMatrix.append([])
        for j in range(0, MNhead.Matrix[1]):
            OriginalMatrix[i].append(0)
 
    # Print the linked list
    print("Linked list represe"
          "ntation:\n")
 
    # Iterate while sptr pointer is not NULL
    while (Sptr != None):
 
        # Update the element in the
        # original matrix and print
        # the current node
        OriginalMatrix[Sptr.Row][Sptr.Col] = Sptr.data
 
        print("(", Sptr.Row, ",", Sptr.Col, ",",
              OriginalMatrix[Sptr.Row][Sptr.Col], ")->", end=" ")
 
        # Move to the next node
        Sptr = Sptr.next
    print("None\n")
 
    # Print the reconstructed matrix
    print("Original Matrix Re"
          "-Construction:\n")
 
    for i in range(0, R):
        for j in range(0, C):
            print(OriginalMatrix[i][j], end=" ")
        print("\n")
 
 
# Create a head of the linked list
 
# Driver Code
Matrix = [[0, 1, 0, 0, 0],
          [0, 1, 0, 0, 0],
          [0, 0, 2, 0, 0],
          [0, 3, 0, 0, 4],
          [0, 0, 5, 0, 0]]
 
MNhead = None
SNhead = None
# Sparse matrix Construction
MNhead = ConstructSparseMatrix(MNhead, Matrix, SNhead)
 
# Sparse matrix Re-Construction
ReConstructArray(MNhead)
 
# This code is contributed by rj13to

C#

// C# program for the above approach
using System;
 
class Program {
 
    // Store the size of sparse matrix
    static int R = 5;
    static int C = 5;
 
    // Function to initialize the head of
    // the linked list
    public static MatrixNode
    ConstructMNhead(MatrixNode MNhead, SparseNode SNhead)
    {
        MNhead = new MatrixNode();
 
        // Update the number of rows and
        // columns and update head pointer
        MNhead.Matrix[0] = R;
        MNhead.Matrix[1] = C;
        MNhead.SNPTR = SNhead;
        return MNhead;
    }
 
    // Function to create a new node
    public static SparseNode CreateList(int Row, int Col,
                                        int data)
    {
        // Create a new node
        SparseNode New = new SparseNode();
 
        // Update the value and the row
        // and column index and set the
        // next pointer to NULL
        New.data = data;
        New.Col = Col;
        New.Row = Row;
 
        return New;
    }
 
    // Function to insert a node at the
    // beginning of the  linked list
    public static MatrixNode
    AddInList(MatrixNode MNhead, int Row, int Col, int data)
    {
        MatrixNode Mptr = MNhead;
 
        // Create a new node
        SparseNode New = CreateList(Row, Col, data);
 
        // If the head is NULL, point it to the newly
        // created node
        if (Mptr.SNPTR == null) {
            Mptr.SNPTR = New;
            return MNhead;
        }
 
        // Insert this node at beginning
        New.next = Mptr.SNPTR;
 
        // Update the head pointer
        Mptr.SNPTR = New;
 
        return MNhead;
    }
 
    // Function to construct the sparse
    // matrix using linked list
    public static MatrixNode
    ConstructSparseMatrix(MatrixNode MNhead, int[, ] Matrix,
                          SparseNode SNhead)
    {
        int i, j;
        MatrixNode Mptr = MNhead;
 
        // If the head pointer is NULL
        if (MNhead == null) {
            MNhead = ConstructMNhead(MNhead, SNhead);
        }
 
        Mptr = MNhead;
 
        // Traverse the matrix, row-wise
        for (i = 0; i < Mptr.Matrix[0]; i++) {
            for (j = 0; j < Mptr.Matrix[1]; j++) {
                // For all non-zero values, push them in
                // linked list
                if (Matrix[i, j] != 0)
                    MNhead = AddInList(MNhead, i, j,
                                       Matrix[i, j]);
            }
        }
        return MNhead;
    }
 
    public static void ReConstructArray(MatrixNode MNhead)
    {
        int i, j;
        SparseNode Sptr = MNhead.SNPTR;
 
        // Create a 2D array
        int[, ] OriginalMatrix
            = new int[MNhead.Matrix[0], MNhead.Matrix[1]];
 
        // Initialize all the elements in the original
        // matrix as 0
        for (i = 0; i < MNhead.Matrix[0]; i++) {
            for (j = 0; j < MNhead.Matrix[1]; j++) {
                OriginalMatrix[i, j] = 0;
            }
        }
 
        // Print the linked list representation:
        Console.WriteLine("Linked list representation:");
 
        // Iterate while sptr pointer is not NULL
        while (Sptr != null) {
            // Update the element in the original matrix and
            // print the current node:
            OriginalMatrix[Sptr.Row, Sptr.Col] = Sptr.data;
            Console.Write(
                "(" + Sptr.Row + ", " + Sptr.Col + ", "
                + OriginalMatrix[Sptr.Row, Sptr.Col]
                + ")->");
            // Move to the next node:
            Sptr = Sptr.next;
        }
        Console.WriteLine("NULL");
 
        // Print the reconstructed matrix
        Console.WriteLine(
            "Original Matrix Re-Construction:");
 
        for (i = 0; i < R; i++) {
            for (j = 0; j < C; j++) {
                Console.Write(OriginalMatrix[i, j] + ", ");
            }
            Console.WriteLine("");
        }
    }
 
    // Driver Code
    public static void Main()
    {
        // Create a head of the linked list
        MatrixNode MNHead = null;
        SparseNode SNHead = null;
        int[, ] Matrix = new int[, ] { { 0, 1, 0, 0, 0 },
                                       { 0, 1, 0, 0, 0 },
                                       { 0, 0, 2, 0, 0 },
                                       { 0, 3, 0, 0, 4 },
                                       { 0, 0, 5, 0, 0 } };
 
        // Create a head of the linked list
        MNHead
            = ConstructSparseMatrix(MNHead, Matrix, SNHead);
        // Sparse matrix Re-Construction
        ReConstructArray(MNHead);
    }
}
 
// Linked list node
class SparseNode {
    public int data;
    public int Col;
    public int Row;
    public SparseNode next;
}
 
// Store the head pointer of the linked
// list and the size of the matrix
class MatrixNode {
    public int[] Matrix = new int[2];
    public SparseNode SNPTR;
}
 
// This code is contributed by Tapesh (tapeshdua420)

Javascript

  // JavaScript code for the above approach
  class SparseNode
  {
       
  // linked list node
  constructor(data, Col, Row) {
    this.data = data; // Assign data
    this.Col = Col; // Assign Column
    this.Row = Row; // Assign Row
    this.next = null; // Initialize next as null
  }
}
 
class MatrixNode {
  constructor(Matrix, SNPTR) {
    this.Matrix = Matrix; // Initialize matrix
    this.SNPTR = null; // Initialize SNPTR as null
  }
}
 
const R = 5;
const C = 5;
 
function ConstructMNhead(MNhead, SNhead) {
  // Function to initialize the head of the linked list
  MNhead = new MatrixNode([R, C], SNhead);
  return MNhead;
}
 
function CreateList(Row, Col, data) {
  // Function to create a new node
  const New = new SparseNode(data, Col, Row);
  return New;
}
 
function AddInList(MNhead, Row, Col, data) {
  let Mptr = MNhead;
  const New = CreateList(Row, Col, data);
 
  // Function to insert a node at the beginning of the linked list
  // If the head is NULL, point it to the newly created node
  if (Mptr.SNPTR === null) {
    Mptr.SNPTR = New;
    return MNhead;
  }
 
  // Insert this node at beginning
  New.next = Mptr.SNPTR;
 
  // Update the head pointer
  Mptr.SNPTR = New;
  return MNhead;
}
 
function ConstructSparseMatrix(MNhead, Matrix) {
  // Function to construct the sparse matrix using linked list
  let Mptr = MNhead;
 
  // If the head pointer is NULL
  if (MNhead === null) {
    MNhead = ConstructMNhead(MNhead);
  }
  Mptr = MNhead;
 
  // Traverse the matrix, row-wise
  for (let i = 0; i < Mptr.Matrix[0]; i++) {
    for (let j = 0; j < Mptr.Matrix[1]; j++) {
 
      // For all non-zero values, push them in linked list
      if (Matrix[i][j]) {
        MNhead = AddInList(MNhead, i, j, Matrix[i][j]);
      }
    }
  }
  return MNhead;
}
function ReConstructArray(MNhead) {
  let Sptr = MNhead.SNPTR;
 
  // Create a 2D array
  const OriginalMatrix = [];
 
  // Initialize all the elements in the original matrix as 0
  for (let i = 0; i < MNhead.Matrix[0]; i++) {
    OriginalMatrix.push([]);
    for (let j = 0; j < MNhead.Matrix[1]; j++) {
      OriginalMatrix[i].push(0);
    }
  }
 
  // Print the linked list representation
  console.log("Linked list representation:");
  console.log("<br>")
  // Iterate while sptr pointer is not NULL
  while (Sptr !== null)
  {
   
    // Update the element in the original matrix and print the current node
    OriginalMatrix[Sptr.Row][Sptr.Col] = Sptr.data;
    console.log(`(${Sptr.Row}, ${Sptr.Col}, ${OriginalMatrix[Sptr.Row][Sptr.Col]})->`);
 
    // Move to the next node
    Sptr = Sptr.next;
  }
  console.log("None");
  console.log("<br>")
 
  // Print the reconstructed matrix
  console.log("Original Matrix Re-Construction:");
  console.log("<br>")
  for (let i = 0; i < R; i++) {
    for (let j = 0; j < C; j++) {
      console.log(OriginalMatrix[i][j]+" ");
    }
   console.log("<br>")
  }
}
// Create a 2D matrix
const Matrix =[[0, 1, 0, 0, 0],
          [0, 1, 0, 0, 0],
          [0, 0, 2, 0, 0],
          [0, 3, 0, 0, 4],
          [0, 0, 5, 0, 0]]
 
// Create a head of the linked list
let MNhead = null;
 
// Construct the sparse matrix
MNhead = ConstructSparseMatrix(MNhead, Matrix);
 
// Re-construct the original matrix
ReConstructArray(MNhead);
 
// This code is contributed by lokeshpotta20.

Output

Linked list representation:
(4, 2, 5)->(3, 4, 4)->(3, 1, 3)->(2, 2, 2)->(1, 1, 1)->(0, 1, 1)->NULL
Original Matrix Re-Construction:
0, 1, 0, 0, 0, 
0, 1, 0, 0, 0, 
0, 0, 2, 0, 0, 
0, 3, 0, 0, 4, 
0, 0, 5, 0, 0,

Time Complexity: O(N*M)
Auxiliary Space: O(N*M)

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Generate matrix from given Sparse Matrix using Linked List and reconstruct the Sparse Matrix

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Java

Python3

C#

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