Java Utililty Methods Array Normalize

List of utility methods to do Array Normalize

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Description

The list of methods to do Array Normalize are organized into topic(s).

Method

shortnorm(byte[] tab)
Computes the number of 1's in the byte array 
short count = 0;
for (byte b : tab) {
    count += bitCount(b);
return count;
doublenorm(double[] a)
Description of the Method 
return (double) Math.sqrt(innerproduct(a, a));
doublenorm(double[] a)
vector 2-norm 
double c = 0.0;
for (double num : a) {
    c += num * num;
return Math.sqrt(c);
doublenorm(double[] a)
Calculates the euclidean norm of a vector. 
double result = 0;
for (int i = 0; i < a.length; i++)
    result += Math.pow(a[i], 2);
result = Math.sqrt(result);
return result;
doublenorm(double[] array)
Returns the norm of the vector 
if (array != null) {
    int n = array.length;
    double sum = 0.0;
    for (int i = 0; i < n; i++) {
        sum += array[i] * array[i];
    return Math.pow(sum, 0.5);
} else
...
doublenorm(double[] data)
Computes the L2 norm of an array (Euclidean norm or "length"). 
return (Math.sqrt(sumSquares(data)));
doublenorm(double[] v)
returns the norm of the vector 
return (Math.sqrt(dotprod(v, v)));
doublenorm(double[] vector)
norm 
double result = 0.0;
for (int i = 0; i < vector.length; i++) {
    result += vector[i] * vector[i];
return result;
doublenorm(double[] vector, int n)
This method takes the Ln vector norm of the vector according to the formula: Norm = [E(i=0 to vector.length) |vector[i]|^n]^(1.0/n) 
double norm = 0.0;
for (int i = 0; i < vector.length; ++i) {
    double inner = 1.0;
    double comp = Math.abs(vector[i]);
    for (int dim = 0; dim < n; ++dim)
        inner *= comp;
    norm += inner;
if (n != 1)
    norm = Math.pow(norm, 1.0 / n);
return norm;
doublenorm(final double[] vec)
Returns the euclidean norm of a vector. 
assert vec != null;
double s = 0;
for (double i : vec) {
    s += Math.pow(i, 2);
return Math.sqrt(s);