Java java.lang Math Matrix

Description

Click the following links for the tutorial for java.lang and Math Matrix.

1. deep Copy Int Matrix
2. is Matrix Equal to another Matrix
3. Returns the point in the center of the four supplied points.
4. Returns true if the specified value is spanned by the two bounds, and false otherwise.
5. Returns the length of the vector v.
6. Returns the normal vector for the plane defined by three points.
7. Returns a new vector that is the normalized form of the specified vector.
8. Returns the scalar product of two vectors.



9. Adds s times one row to another row
10. Multiplies every element in row r by a scalar s.
11. Swaps rows in Matrix
12. get Matrix From Array
13. Takes the transpose of an array (like the matrix operation).
14. print Matrix Diagonals
15. rotate Matrix
16. rotate Matrix In Place



17. get Differential Int Matrix
18. get Single Color Int Matrix
19. Computes the determinant of a matrix.
20. Computes the mean value of a matrix of integers.
21. Multiplies a matrix and a vector.
22. Multiplies a vector and a matrix.
23. Computes the standard deviation of the values in the matrix.
24. Computes the dot product of two vectors.
25. Computes the mean coordinate of the vector.
26. Multiplies two matrices using an implementation faster than the straightforward one.
27. matrix Converged
28. print Matrix
29. dot Tuple3d
30. subtract Tuple3d
31. add Vectors
32. cross Vector
33. get Angle
34. Compute the mean of a vector.
35. Returns the median of a vector.
36. Swap the left and right halves of the vector.
37. Apply weight to vector.
38. read Double Matrix from InputStream
39. read Int Matrix from InputStream
40. Computes the normalized confusion matrix for two vectors.
41. Calculate and return the absolute minimum value in the matrix
42. Method used to add a column to a matrix
43. Method used to add a row to a matrix
44. Calculate the covariance matrix
45. Get the maximum value within a column of a given matrix
46. Get the mean of a given column of a given matrix
47. Get the minimum value within a column of a given matrix
48. Get the mean of a given row of a given matrix
49. Calculate the pseudo-inverse of a matrix
50. Prints matrix to console
51. Function used to read matrices from a file (in csv form)
52. Performs simple regularization by adding a small value to the diagonal of a matrix; matrix must be square
53. Regularize the matrix using ridge regression
54. Set a particular column of a matrix
55. Set a particular row of a matrix
56. Gets a sub-matrix within the given matrix
57. Convert a list of a list of doubles into an actual matrix object
58. Function used to write a matrix out to file (in csv form)
59. Calculate the inner product of 2 vectors, where the first vector is a row in the first matrix, and the second vector is a column in the second matrix.
60. Returns the sum of a given column of the matrix (the numbering starts from 1)
61. Calculates the sum of the principal diagonal of a square matrix
62. Calculates the sum of all the elements in the matrix
63. Returns the sum of a given row of the matrix (the numbering starts from 1)
64. Make the Cholesky decomposition L of a given input matrix A, where: A is symmetric and positive definite (has full rank) A = L L^T (L^T is the transpose of L - here A has real entries only, though a Cholesky decomposition is possible with complex entries) L is a lower triangular matrix We perform the decomposition using the Cholesky?Banachiewicz algorithm, computing L from the top left, row by row (see wikipedia) This method has been adapted from the JAMA project (public domain software)
65. Return a new matrix with the columns of matrix1 joined on the back of matrix2
66. Compute the covariance matrix between all column pairs (variables) in the multivariate data set
67. Returns the determinant of the input matrix.
68. Compute determinant(A), where A = L*L^T via Cholesky decomposition is a symmetric, positive definite matrix.
69. Compute matrix inversion of a symmetric, positive definite matrix by using the Cholesky Decomposition L of the matrix A.
70. Works out the index of the k minimum values in the matrix in a given column
71. Works out the maximum value in the matrix in a given column
72. Return an array of the means of each row in the 2D input matrix
73. select Column from Matrix
74. Matrix column Shift
75. Checks if two given matrices are equal.
76. Computes average value from all entries iterable the matrix
77. Creates a random boolean matrix
78. Creates a random matrix.
79. Creates a random integer matrix.
80. Sets a sub-matrix of the given matrix at specified position to values from another smaller matrix
81. Extracts a sub-matrix from the given matrix
82. Computes sum of two equal-sized matrices.
83. Swaps two columns of a matrix.
84. Swaps two rows of a matrix.
85. Computes trace of the matrix
86. Transposes a matrix (i.e.
87. copy Matrix
88. matrix rotate 180 degrees
89. matrix rotate Clock Wise
90. matrix rotate Counter Clock Wise
91. Inverts a 4 x 4 matrix using Gaussian Elimination.
92. Multiply a matrix with another matrix that only contains elements on its diagonal.
93. Multiplies two matrices.
94. Multiplies a matrix with another matrix that only has one column.
95. First transposes matrix matA, then multiplies it with matrix matB.
96. First transposes a matrix, then multiplies it with another matrix that only contains elements on its diagonal, then multiplies it again with the matrix.
97. First transposes a matrix, then multiplies it with another matrix that only contains elements on its diagonal.