BudiBaduQuiziBadu

Matlab Arrays and Matric Quiz

Matlab
0 Passed
0% acceptance

40 comprehensive questions on MATLAB's array and matrix operations, covering matrix creation, indexing techniques, slicing operations, concatenation methods, colon operator usage, and linear algebra fundamentals — with 16 code examples to master MATLAB's matrix computing capabilities.

40 Questions
~80 minutes
1

Question 1

How do you create a simple row vector in MATLAB?

A
Use square brackets with space-separated values like [1 2 3 4]
B
Use parentheses for vectors
C
Vectors must be created with special functions only
D
Use curly braces for vectors
2

Question 2

What does the colon operator : create when used with two values?

matlab
x = 1:5
A
Creates a row vector with consecutive integers from start to end value
B
Creates a column vector
C
Creates a matrix
D
Creates a single number
3

Question 3

How do you access a specific element in a matrix?

matlab
A = [1 2 3; 4 5 6]; element = A(2,3)
A
Use parentheses with row and column indices like A(row, column)
B
Use square brackets for element access
C
Use curly braces for matrix elements
D
Elements cannot be accessed individually
4

Question 4

What is matrix slicing in MATLAB?

matlab
A = [1 2 3 4; 5 6 7 8]; B = A(1:2, 2:3)
A
Extracting a submatrix using colon operator for row and column ranges
B
Cutting matrices into smaller pieces physically
C
Only works with vectors
D
Requires special slicing functions
5

Question 5

How do you concatenate two matrices horizontally?

matlab
A = [1 2; 3 4]; B = [5 6; 7 8]; C = [A B]
A
Use square brackets side by side like [A B] for horizontal concatenation
B
Use plus operator + for concatenation
C
Horizontal concatenation is not possible
D
Use special concat() function
6

Question 6

What does the zeros() function create?

matlab
A = zeros(3,4)
A
Creates a matrix filled with zeros of specified dimensions
B
Creates a matrix filled with ones
C
Creates an identity matrix
D
Creates a random matrix
7

Question 7

How do you create an identity matrix in MATLAB?

matlab
I = eye(3)
A
Use eye() function with the desired size
B
Use ones() function
C
Use zeros() function
D
Identity matrices cannot be created directly
8

Question 8

What is the result of using a single colon in indexing?

matlab
A = [1 2 3 4 5]; B = A(:)
A
Converts any array to a column vector by stacking all elements
B
Creates a row vector
C
Reverses the array
D
Creates a copy of the array
9

Question 9

How do you perform matrix multiplication in MATLAB?

matlab
A = [1 2; 3 4]; B = [5 6; 7 8]; C = A * B
A
Use asterisk * operator for standard matrix multiplication
B
Use dot operator .* for matrix multiplication
C
Use plus operator + for multiplication
D
Matrix multiplication is not supported
10

Question 10

What does element-wise multiplication use in MATLAB?

matlab
A = [1 2; 3 4]; B = [5 6; 7 8]; C = A .* B
A
Dot asterisk .* operator for element-by-element multiplication
B
Regular asterisk * for element-wise operations
C
Plus operator + for multiplication
D
Element-wise operations are not supported
11

Question 11

How do you find the transpose of a matrix?

matlab
A = [1 2 3; 4 5 6]; B = A'
A
Use apostrophe ' operator for matrix transpose
B
Use T method like in other languages
C
Use transpose() function
D
Transpose is not supported in MATLAB
12

Question 12

What does the end keyword represent in indexing?

matlab
A = [1 2 3 4 5]; last = A(end)
A
Represents the last index of the array dimension being indexed
B
Represents the first index (always 1)
C
Represents the middle index
D
end is not a valid keyword in indexing
13

Question 13

How do you create a matrix with random values?

matlab
A = rand(3,4)
A
Use rand() function with dimensions for uniformly distributed random values between 0 and 1
B
Use zeros() with random parameter
C
Random matrices cannot be created directly
D
Use ones() for random values
14

Question 14

What is the difference between matrix multiplication and element-wise multiplication?

A
Matrix multiplication * follows linear algebra rules, element-wise .* multiplies corresponding elements requiring same dimensions
B
They are identical operations
C
Element-wise multiplication is faster
D
Matrix multiplication requires same dimensions
15

Question 15

How do you concatenate matrices vertically?

matlab
A = [1 2; 3 4]; B = [5 6; 7 8]; C = [A; B]
A
Use semicolon ; between matrices like [A; B] for vertical stacking
B
Use comma , for vertical concatenation
C
Vertical concatenation requires special functions
D
Use horizontal brackets [A B] for vertical
16

Question 16

What does the colon operator with three values create?

matlab
x = 1:2:10
A
Creates arithmetic sequence with specified start, increment, and end values
B
Creates geometric sequence
C
Creates random sequence
D
Three-value colon is not valid
17

Question 17

How do you extract all rows but only certain columns from a matrix?

A
Use colon for all rows and specific column indices like A(:, [1 3 5])
B
Use A(all, [1 3 5]) syntax
C
This type of extraction is not possible
D
Use special extract() function
18

Question 18

What is the purpose of the ones() function?

matlab
A = ones(2,3)
A
Creates matrix filled with ones, useful for initialization and mathematical operations
B
Creates matrix filled with zeros
C
Creates identity matrix
D
Creates random matrix
19

Question 19

How do you reverse the order of elements in a vector?

matlab
v = [1 2 3 4 5]; reversed = v(end:-1:1)
A
Use colon operator with negative step like v(end:-1:1) to reverse indexing
B
Use reverse() function
C
Use flip() function
D
Reversal is not supported in MATLAB
20

Question 20

What does matrix addition require in MATLAB?

matlab
A = [1 2; 3 4]; B = [5 6; 7 8]; C = A + B
A
Matrices must have identical dimensions for element-wise addition
B
Addition works with any size matrices
C
Matrix addition requires special functions
D
Addition is not supported for matrices
21

Question 21

How do you find the determinant of a matrix?

A
Use det() function which computes the determinant for square matrices
B
Use determinant() function
C
Determinant calculation is not built-in
D
Use inv() function
22

Question 22

What does the inv() function do?

A
Computes the inverse of a square matrix if it exists
B
Computes the transpose
C
Computes the determinant
D
Matrix inversion is not supported
23

Question 23

How do you create a diagonal matrix from a vector?

A
Use diag() function which places vector elements on the main diagonal of a square matrix
B
Use diagonal() function
C
Diagonal matrices cannot be created from vectors
D
Use eye() with vector input
24

Question 24

What is the result of logical indexing in MATLAB?

A
Extracts elements where condition is true, creating filtered array from logical mask
B
Creates a logical matrix
C
Logical indexing is not supported
D
Returns the condition result only
25

Question 25

How do you find the rank of a matrix?

A
Use rank() function which computes the rank based on singular value decomposition
B
Use det() function
C
Matrix rank cannot be computed
D
Use size() function
26

Question 26

What does the reshape() function do?

A
Rearranges elements of array into new dimensions while preserving total number of elements
B
Changes element values
C
Creates new random elements
D
Reshape is not a MATLAB function
27

Question 27

How do you compute the eigenvalues of a matrix?

A
Use eig() function which computes eigenvalues and optionally eigenvectors of square matrices
B
Use eigenvalue() function
C
Eigenvalues cannot be computed in MATLAB
D
Use det() function
28

Question 28

What is the difference between a vector and a matrix in MATLAB?

A
Vectors are 1D arrays (row or column), matrices are 2D arrays, but both are fundamentally the same data structure
B
Vectors and matrices are completely different data types
C
Matrices can only be 2D, vectors can be multi-dimensional
D
There is no difference in MATLAB
29

Question 29

How do you create a magic square matrix?

A
Use magic() function which creates square matrices where rows, columns, and diagonals sum to the same value
B
Use special() function
C
Magic squares cannot be created
D
Use rand() with magic parameter
30

Question 30

What does the trace of a matrix represent?

A
Sum of diagonal elements of a square matrix, computed by trace() function
B
Sum of all elements
C
Product of diagonal elements
D
Matrix trace is not defined
31

Question 31

How do you perform matrix division in MATLAB?

A
Use backslash \ for left division (solving AX = B) and forward slash / for right division
B
Use regular division / for matrices
C
Matrix division is not supported
D
Use divide() function
32

Question 32

What is array preallocation and why is it important?

A
Preallocating arrays with zeros() or ones() before loops prevents repeated memory reallocation, significantly improving performance for large arrays
B
Preallocation is not necessary in MATLAB
C
Preallocation slows down code
D
Preallocation changes array values
33

Question 33

How do you find the size of each dimension of an array?

A
size() function returns dimensions as a vector, useful for understanding array structure and iteration
B
Use length() for all dimensions
C
Array dimensions cannot be determined
D
Use dim() function
34

Question 34

What does the kron() function do?

A
Computes Kronecker tensor product, creating block matrix by multiplying each element of first matrix with entire second matrix
B
Computes Kronecker sum
C
Computes regular matrix product
D
Kronecker product is not supported
35

Question 35

How do you check if a matrix is square?

A
Compare row and column dimensions using size() function to verify equal dimensions
B
Use issquare() function
C
Square matrices cannot be identified
D
Use det() which only works on square matrices
36

Question 36

What is the purpose of the repmat() function?

A
Replicates and tiles array in specified row and column repetitions to create larger block matrices
B
Repeats array elements randomly
C
Creates repeated patterns
D
Repmat is not a MATLAB function
37

Question 37

How do you compute the cross product of two vectors?

A
Use cross() function for 3D vectors, resulting in vector perpendicular to both input vectors
B
Use * operator for cross product
C
Cross product is not supported
D
Use dot() function
38

Question 38

What does the dot() function compute?

A
Computes dot product (scalar product) of two vectors by summing element-wise products
B
Computes cross product
C
Computes element-wise product
D
Dot product is not supported
39

Question 39

How do you find the norm of a vector?

A
Use norm() function which computes Euclidean norm (magnitude) by default for vectors
B
Use length() function
C
Vector norms cannot be computed
D
Use size() function
40

Question 40

Considering MATLAB's array capabilities as a whole, what fundamental concept enables its efficiency for matrix computations compared to traditional programming languages?

A
Vectorized operations and unified array model allow single operations on entire arrays, eliminating loops and enabling optimized linear algebra libraries for superior performance in matrix computations
B
Faster processor speed
C
Automatic parallelization
D
Compiled execution

Other Quiz Categories

JavaScript
47 quizzes
Basics
Variables & Data Types
Operators & Expressions
Rust
30 quizzes
Cargo and Project Setup
Variables and Mutability
Data Types
Python
29 quizzes
Introduction & Core Fundamentals
Data Types Overview
Type Casting
Golang
29 quizzes
Basics & Syntax
Data Types & Zero Values
Operators & Expressions
C++
26 quizzes
Basics
Variables & Data Types
Operators & Expression
Java
22 quizzes
Java Basics & JVM Fundamentals
Variables, Data Types & Type Casting
Operators & Expressions
TypeScript
19 quizzes
Introduction and Overview
Installation and Configuration
Basic Types and Type Annotations
SQL Database
15 quizzes
Foundations and Basics
Basic Query Selection
Filter, Sort, and Alias Essentials
PHP
15 quizzes
Syntax Building Blocks
Variable Naming
Data Types Overview
Linked List
11 quizzes
Introduction
Node Structure and Pointer Fundamentals
Singly Linked List

QUIZZES IN Matlab

1

Basics & Environment

40

40 comprehensive questions on MATLAB's fundamental environment and core concepts, covering command window operations, workspace management, file system navigation, script execution, path configuration, and help system utilization — with 16 code examples to master MATLAB's interactive development environment.

2

Variables and Data Type

40

40 comprehensive questions on MATLAB's variable system and data types, covering variable creation, naming conventions, numeric types, logical values, character and string data, and inspection functions — with 16 code examples to master MATLAB's type system and variable management.

3

Arrays and Matric

40

40 comprehensive questions on MATLAB's array and matrix operations, covering matrix creation, indexing techniques, slicing operations, concatenation methods, colon operator usage, and linear algebra fundamentals — with 16 code examples to master MATLAB's matrix computing capabilities.

4

Script and Function

40

40 comprehensive questions on MATLAB script files and function programming, covering .m file structure, input/output parameters, variable scope management, anonymous function creation, and documentation techniques — with 16 code examples to master MATLAB's functional programming capabilities.

5

Operator and Expression

40

40 comprehensive questions on MATLAB's operators and expressions, covering arithmetic operations, logical comparisons, relational testing, precedence rules, and element-wise computations — with 16 code examples to master MATLAB's expression evaluation capabilities.

6

Control Flow Matlab

40

40 comprehensive questions on MATLAB's control flow structures, covering conditional statements, loops, and flow control mechanisms — with 16 code examples to master MATLAB's cpp quiz programming logic and decision-making capabilities.

7

Plotting and Visualization

40

40 comprehensive questions on MATLAB's plotting and visualization capabilities, covering 2D/3D plots, legends, labels, titles, subplots, and figure saving techniques — with 16 code examples to master MATLAB's cpp quiz data visualization tools.

8

Built-in Functions

40

40 comprehensive questions on MATLAB's built-in functions covering mathematical operations, statistical computations, NaN/Inf handling, and data validation functions — with 16 code examples to master MATLAB's cpp quiz computational capabilities.

9

Strings and Text Processing

40

40 comprehensive questions on MATLAB's string and text processing capabilities covering string vs char arrays, concatenation, string functions, pattern matching, and text parsing techniques — with 16 code examples to master MATLAB's cpp quiz text manipulation tools.

10

Cell Arrays

40

40 comprehensive questions on MATLAB's cell arrays covering creation, indexing techniques, mixed-type data storage, and useful cell functions — with 16 code examples to master MATLAB's cpp quiz flexible data structures.

11

Structure & Table

40

40 comprehensive questions on MATLAB's structure and table data types covering struct fields, nested structures, table creation, row/column access, and table operations — with 16 code examples to master MATLAB's cpp quiz structured data capabilities.

12

File I/O & Data Importing

40

40 comprehensive questions on MATLAB's file input/output operations, covering data import/export with readtable and writematrix, handling CSV and Excel files, managing .mat files, and navigating file systems — with 12 code examples to solidify your data handling skills.

13

Logical Indexing & Masking

35

Master MATLAB's powerful logical indexing techniques with 35 questions covering boolean masks, conditional filtering, find(), and array manipulation without loops.

14

Vectorization & Performance Optimization

40

40 high-impact questions on speeding up MATLAB code using vectorization, element-wise operations, preallocation, and profiling tools like tic/toc.

15

Basic Math Operations

35

35 essential questions covering MATLAB's core arithmetic, order of operations, and fundamental mathematical functions.

16

Creating and Using Vectors

35

35 fundamental questions on creating, indexing, and manipulating row and column vectors in MATLAB.

17

Functions

35

35 essential questions on using built-in functions, understanding inputs/outputs, accessing documentation, and creating anonymous functions.

18

Basic Plot Commands

35

35 fundamental questions on visualizing data in MATLAB, covering plot creation, customization, annotation, and saving.

19

Input & Output

35

35 practical questions on interacting with users via the command window, including input, disp, and formatted output with fprintf.

20

Relational & Logical Operations

40

40 questions on MATLAB's comparison and logical operators, covering equality, inequality, boolean logic, and common pitfalls.

21

Arrays vs. Matrices

35

35 questions exploring the core data structures in MATLAB, focusing on dimensionality, indexing, and manipulation techniques.