All Packages  Class Hierarchy

Index of all Fields and Methods

A

add(SparseVectorDouble). Method in class jnt.linear_algebra.SparseVectorDouble

add_eq(double[], SparseVectorDouble). Static method in class jnt.linear_algebra.SparseVectorDouble

atof(String). Static method in class jnt.io.Format

Converts a string of digits to an double

atoi(String). Static method in class jnt.io.Format

Converts a string of digits (decimal, octal or hex) to an integer

atol(String). Static method in class jnt.io.Format

Converts a string of digits (decimal, octal or hex) to a long integer

B

Bessel(). Constructor for class jnt.functions.Bessel

C

ChebyshevSeriesEval(double, double[]). Static method in class jnt.functions.Elementary

Evaluates a given Chebyshev series at a given point.

col(). Method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

Return vector of column indices as a contiguous array.

col(int). Method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

Constants(). Constructor for class jnt.util.Constants

CoordinateSparseMatrixDouble(int, int). Constructor for class jnt.linear_algebra.CoordinateSparseMatrixDouble

Initialize a sparse vector of a given dimension.

CoordinateSparseMatrixDouble(int, int, int). Constructor for class jnt.linear_algebra.CoordinateSparseMatrixDouble

Initialize a sparse vector of a given dimension and nonzeros.

CoordinateSparseMatrixDouble(int, int, int, int[], int[], double[]). Constructor for class jnt.linear_algebra.CoordinateSparseMatrixDouble

Initialize a sparse vector of dimension N, with nz nonzeros, given values from val[] and integer positions in ind[].

copy(). Method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

Create a copy of an existing sparse vector.

copy(). Method in class jnt.linear_algebra.SparseVectorDouble

Create a copy of an existing sparse vector.

D

daxpy(int, double, double[], double[]). Static method in class jnt.linear_algebra.JBLAS

Perform vector operation: y = a*x + y

daxpy(int, double, double[], double[]). Static method in class jnt.linear_algebra.JBLASopt

daxpy(int, double, double[], double[], int). Static method in class jnt.linear_algebra.JBLAS

Perform vector operation: y = a*x + y, beginining at an offset different than zero.

daxpy(int, double, double[], int, double[], int). Static method in class jnt.linear_algebra.JBLAS

Perform vector operation: y = a*x + y, begining at different offsets for x and y.

daxpy(int, double, double[], int, double[], int). Static method in class jnt.linear_algebra.JBLASopt

daxpy(int, double, double[][], int, double[]). Static method in class jnt.linear_algebra.JBLAS

Perform vector operation: y = a*x + y, where x is a column of a matrix.

daxpy(int, double, double[][], int, double[][], int). Static method in class jnt.linear_algebra.JBLAS

Perform vector operation: y = a*x + y, where x and y are columns of a matrix.

daxpy_unroll4(int, double, double[], double[]). Static method in class jnt.linear_algebra.JBLASopt

daxpy_unroll4_by1(int, double, double[], double[]). Static method in class jnt.linear_algebra.JBLASopt

daxpy_unroll4_by1_offset(int, double, double[], double[], int). Static method in class jnt.linear_algebra.JBLASopt

daxpy_unroll8(int, double, double[], double[]). Static method in class jnt.linear_algebra.JBLASopt

daxpy_unroll8_by1(int, double, double[], double[]). Static method in class jnt.linear_algebra.JBLASopt

daxpy_unroll8_by1_offset(int, double, double[], double[], int). Static method in class jnt.linear_algebra.JBLASopt

daxpy_unroll8_offset(int, double, double[], double[], int). Static method in class jnt.linear_algebra.JBLASopt

ddot(int, double[], double[]). Static method in class jnt.linear_algebra.JBLAS

Perform vector operation: y = a*x + y

ddot(int, double[], double[]). Static method in class jnt.linear_algebra.JBLASopt

ddot(int, double[], double[], int). Static method in class jnt.linear_algebra.JBLAS

Perform vector operation: y = a*x + y

ddot_unroll4(int, double[], double[]). Static method in class jnt.linear_algebra.JBLASopt

ddot_unroll8_sum4(int, double[], double[]). Static method in class jnt.linear_algebra.JBLASopt

E

e. Static variable in class jnt.util.Constants

The mathematical constant e.

Elementary(). Constructor for class jnt.functions.Elementary

eval(double). Method in interface jnt.functions.UnivariateFunction

Returns the value of the function which the class defines.

F

factor(double[][], double[]). Static method in class jnt.linear_algebra.QR

Factorize a matrix into a QR form.

factor(double[][], double[]). Static method in class jnt.linear_algebra.QR_column

Factorize a matrix into a QR form.

factor(double[][], double[]). Static method in class jnt.linear_algebra.QRblas

factor(double[][], double[]). Static method in class jnt.linear_algebra.QRopt

Factorize a matrix into a QR form.

factor(double[][], int[]). Static method in class jnt.linear_algebra.LU

LU factorization (in place).

find(int). Method in class jnt.linear_algebra.SparseVectorDouble

Find out if a sparse vector contains an entry at a a given position in it's dense representation.

form(char). Method in class jnt.io.Format

Formats a character into a string (like sprintf in C)

form(double). Method in class jnt.io.Format

Formats a double into a string (like sprintf in C)

form(long). Method in class jnt.io.Format

Formats a long integer into a string (like sprintf in C)

form(String). Method in class jnt.io.Format

Formats a string into a larger string (like sprintf in C)

Format(String). Constructor for class jnt.io.Format

Formats the number following printf conventions.

G

gather(double[]). Method in class jnt.linear_algebra.SparseVectorDouble

gather(double[], int[], int[]). Static method in class jnt.linear_algebra.SparseVectorDouble

Pick off certain elements from a long dense vector and put them into nonzero values (val).

get(int). Method in class jnt.linear_algebra.SparseVectorDouble

get_index(int). Method in class jnt.linear_algebra.SparseVectorDouble

get_val(int). Method in class jnt.linear_algebra.SparseVectorDouble

getLU(). Method in class jnt.linear_algebra.LU

Returns a copy of the compact LU factorization.

getPivot(). Method in class jnt.linear_algebra.LU

Returns a copy of the pivot vector.

I

I0(double). Static method in class jnt.functions.Bessel

Evaluates the hyperbolic Bessel function of the first kind of order 0 for a given real argument x.

I0e(double). Static method in class jnt.functions.Bessel

Evaluates the exponentially scalled hyperbolic Bessel function of the first kind of order 0 for a given real argument x.

I1(double). Static method in class jnt.functions.Bessel

Evaluates the hyperbolic Bessel function of the first kind of order 1 for a given real argument x.

I1e(double). Static method in class jnt.functions.Bessel

Evaluates the exponentially scalled hyperbolic Bessel function of the first kind of order 1 for a given real argument x.

insert_copy(double[][], double[][]). Static method in class jnt.linear_algebra.JBLAS

Copying array elements into prexisitng array.

J

J0(double). Static method in class jnt.functions.Bessel

Evaluates the Bessel function of the first kind of order 0 for a given real argument x.

J1(double). Static method in class jnt.functions.Bessel

Evaluates the Bessel function of the first kind of order 1 for a given real argument x.

JBLAS(). Constructor for class jnt.linear_algebra.JBLAS

JBLASopt(). Constructor for class jnt.linear_algebra.JBLASopt

L

LargestMagnitude. Static variable in class jnt.util.Constants

The largest positive floating point number.

LargestRelativeSpacing. Static variable in class jnt.util.Constants

The largest relative spacing between floating point numbers on (0,1).

LongNormalSequence(). Constructor for class jnt.random.LongNormalSequence

Initializes a sequence of normally distributed quasi random numbers with mean 0 and standard deviation 1 using a seed based on the system clock.

LongNormalSequence(double, double). Constructor for class jnt.random.LongNormalSequence

Initializes a sequence of normally distributed quasi random numbers with given mean and standard deviation using a seed based on the system clock

LongNormalSequence(long). Constructor for class jnt.random.LongNormalSequence

Initializes a sequence of normally distributed quasi random numbers with mean 0 and standard deviation 1 using a given seed.

LongNormalSequence(long, double, double). Constructor for class jnt.random.LongNormalSequence

Initializes a sequence of normally distributed quasi random numbers with given mean, standard deviation and seed.

LongUniformSequence(). Constructor for class jnt.random.LongUniformSequence

Initializes a sequence of uniformly distributed quasi random numbers with a seed based on the system clock.

LongUniformSequence(double, double). Constructor for class jnt.random.LongUniformSequence

Initializes a sequence of uniformly distributed quasi random numbers on a given half-open interval [left,right) with a seed based on the system clock.

LongUniformSequence(long). Constructor for class jnt.random.LongUniformSequence

Initializes a sequence of uniformly distributed quasi random numbers with a given seed.

LongUniformSequence(long, double, double). Constructor for class jnt.random.LongUniformSequence

Initializes a sequence of uniformly distributed quasi random numbers with a given seed on a given half-open interval [left,right).

LowerTriangularSolve(double[][], double[]). Static method in class jnt.linear_algebra.JBLAS

LU(double[][]). Constructor for class jnt.linear_algebra.LU

Initalize LU factorization from matrix.

M

M(). Method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

Return the first dimension of the sparse matrix.

machineEpsilon. Static variable in class jnt.util.Constants

The largest x such that x == x+1 to machine precision.

main(String[]). Static method in class jnt.io.Format

a test stub for the format class

minus(double[], double[]). Static method in class jnt.linear_algebra.JBLAS

mult(double[]). Method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

Compute A*x

mult(double[], double[]). Method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

Compute y += A*x;

mult(double[][], double[]). Static method in class jnt.linear_algebra.JBLAS

N

N(). Method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

Return the second dimension of the sparse matrix.

new_copy(double[]). Static method in class jnt.linear_algebra.JBLAS

new_copy(double[][]). Static method in class jnt.linear_algebra.JBLAS

new_copy(int[]). Static method in class jnt.linear_algebra.JBLAS

next(). Method in class jnt.random.LongNormalSequence

Returns the next random number in the sequence.

next(). Method in class jnt.random.LongUniformSequence

Returns the next random number in the sequence.

next(). Method in class jnt.random.NormalSequence

Returns the next random number in the sequence.

next(). Method in class jnt.random.UniformSequence

Returns the next random number in the sequence.

norm2(double[]). Static method in class jnt.linear_algebra.JBLAS

NormalSequence(). Constructor for class jnt.random.NormalSequence

Initializes a sequence of normally distributed quasi random numbers with mean 0 and standard deviation 1 using a seed based on the system clock.

NormalSequence(double, double). Constructor for class jnt.random.NormalSequence

Initializes a sequence of normally distributed quasi random numbers with given mean and standard deviation using a seed based on the system clock

NormalSequence(int). Constructor for class jnt.random.NormalSequence

Initializes a sequence of normally distributed quasi random numbers with mean 0 and standard deviation 1 using a given seed.

NormalSequence(int, double, double). Constructor for class jnt.random.NormalSequence

Initializes a sequence of normally distributed quasi random numbers with given mean, standard deviation and seed.

num_nonzeros(). Method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

Return the number of number of nonzeros in sparse matrix.

num_nonzeros(). Method in class jnt.linear_algebra.SparseVectorDouble

Determine the number of entries (nonzeros) in sparse vector.

NumericIO(). Constructor for class jnt.io.NumericIO

NumericReader(Reader). Constructor for class jnt.io.NumericReader

P

pi. Static variable in class jnt.util.Constants

The mathematical constant pi.

plus(double[], double[]). Static method in class jnt.linear_algebra.JBLAS

print(). Method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

print(). Method in class jnt.linear_algebra.SparseVectorDouble

print(PrintStream, String, char). Static method in class jnt.io.Format

prints a formatted number following printf conventions

print(PrintStream, String, double). Static method in class jnt.io.Format

prints a formatted number following printf conventions

print(PrintStream, String, long). Static method in class jnt.io.Format

prints a formatted number following printf conventions

print(PrintStream, String, String). Static method in class jnt.io.Format

prints a formatted number following printf conventions

Q

QR(). Constructor for class jnt.linear_algebra.QR

QR_column(). Constructor for class jnt.linear_algebra.QR_column

QRblas(). Constructor for class jnt.linear_algebra.QRblas

QRopt(). Constructor for class jnt.linear_algebra.QRopt

R

read(). Method in class jnt.util.Stopwatch

Display the elapsed time (in seconds)

readDouble(). Method in class jnt.io.NumericReader

read a floating point number from the console.

Reader_. Variable in class jnt.io.NumericReader

readfile(String). Static method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

Read a sparse matrix from an ASCII text file.

readfile(String, int). Static method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

Reads sparse form file, similar to readfile(String) but has an optional base-offset parameter to denote the starting position of matrix indices.

readInt(). Method in class jnt.io.NumericReader

read an integer from the console.

readLine(). Method in class jnt.io.NumericReader

read a line from a charater input stream.

readMatrixDouble(String). Static method in class jnt.io.NumericIO

readVectorDouble(String). Static method in class jnt.io.NumericIO

readWord(). Method in class jnt.io.NumericReader

read a word from the console.

reset(). Method in class jnt.util.Stopwatch

Return system time (in seconds)

resume(). Method in class jnt.util.Stopwatch

Resume timer.

row(). Method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

Return vector of row indices as a contiguous array.

row(int). Method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

S

scatter(double[], SparseVectorDouble). Method in class jnt.linear_algebra.SparseVectorDouble

search(Tuple). Method in class jnt.nonlinear.ZeroFinder

Searches for a zero of the function on the given interval.

search(Tuple, double). Method in class jnt.nonlinear.ZeroFinder

Searches for a zero of the function on the given interval with a given relativeErrorTol.

search(Tuple, double, double). Method in class jnt.nonlinear.ZeroFinder

Searches for a zero of the function on the given interval with given relativeErrorTol and absoluteErrorTol.

search(Tuple, double, double, int). Method in class jnt.nonlinear.ZeroFinder

Searches for a zero of the function on the given interval with given relativeErrorTol, absoluteErrorTol and maxIterations.

seconds(). Static method in class jnt.util.Stopwatch

Return system time (in seconds)

set(int, double). Method in class jnt.linear_algebra.SparseVectorDouble

set_index(int, int). Method in class jnt.linear_algebra.SparseVectorDouble

set_value(int, double). Method in class jnt.linear_algebra.SparseVectorDouble

set_value_index(int, double, int). Method in class jnt.linear_algebra.SparseVectorDouble

sign(double, double). Static method in class jnt.functions.Elementary

sign(a,b) returns |a|*(b/|b|), i.e., the first argument with the sign of the second argument.

sign(float, float). Static method in class jnt.functions.Elementary

sign(a,b) returns |a|*(b/|b|), i.e., the first argument with the sign of the second argument.

sign(int, int). Static method in class jnt.functions.Elementary

sign(a,b) returns |a|*(b/|b|), i.e., the first argument with the sign of the second argument.

size(). Method in class jnt.linear_algebra.SparseVectorDouble

Return the dimension of the sparse vector.

SmallestPositiveMagnitude. Static variable in class jnt.util.Constants

The smallest positive floating point number.

SmallestRelativeSpacing. Static variable in class jnt.util.Constants

The smallest relative spacing between floating point numbers on (0,1).

solve(double[]). Method in class jnt.linear_algebra.LU

Solve a linear system, with given factorization.

solve(double[][], int[], double[]). Static method in class jnt.linear_algebra.LU

Solve a linear system, using a prefactored matrix in LU form.

SparseVectorDouble(int). Constructor for class jnt.linear_algebra.SparseVectorDouble

Initialize a sparse vector of a given dimension.

SparseVectorDouble(int, int). Constructor for class jnt.linear_algebra.SparseVectorDouble

Initialize a sparse vector of a given dimension and nonzeros.

SparseVectorDouble(int, int, double[], int[]). Constructor for class jnt.linear_algebra.SparseVectorDouble

Initialize a sparse vector of dimension N, with nz nonzeros, given values from val[] and integer positions in ind[].

sqrt2. Static variable in class jnt.util.Constants

The mathematical constant the square root of 2.

start(). Method in class jnt.util.Stopwatch

Start (and reset) timer

stop(). Method in class jnt.util.Stopwatch

Stop timer

Stopwatch(). Constructor for class jnt.util.Stopwatch

T

toString(). Method in class jnt.util.Tuple

Returns a representation of the tuple as a String.

Tuple(). Constructor for class jnt.util.Tuple

Creates the tuple (0,0)

Tuple(double, double). Constructor for class jnt.util.Tuple

Creates the tuple (x,y).

Tuple(float, float). Constructor for class jnt.util.Tuple

Creates the tuple (x,y).

Tuple(int, int). Constructor for class jnt.util.Tuple

Creates the tuple (x,y).

U

UniformSequence(). Constructor for class jnt.random.UniformSequence

Initializes a sequence of uniformly distributed quasi random numbers with a seed based on the system clock.

UniformSequence(double, double). Constructor for class jnt.random.UniformSequence

Initializes a sequence of uniformly distributed quasi random numbers on a given half-open interval [left,right) with a seed based on the system clock.

UniformSequence(int). Constructor for class jnt.random.UniformSequence

Initializes a sequence of uniformly distributed quasi random numbers with a given seed.

UniformSequence(int, double, double). Constructor for class jnt.random.UniformSequence

Initializes a sequence of uniformly distributed quasi random numbers with a given seed on a given half-open interval [left,right).

UpperTriangularSolve(double[][], double[]). Static method in class jnt.linear_algebra.JBLAS

V

val(). Method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

Return vector of nonzero values.

val(int). Method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

W

write(). Method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

write(CoordinateSparseMatrixDouble). Static method in class jnt.linear_algebra.CoordinateSparseMatrixDouble

write(double[]). Static method in class jnt.io.NumericIO

write(double[], String). Static method in class jnt.io.NumericIO

write(double[][]). Static method in class jnt.io.NumericIO

write(double[][], String). Static method in class jnt.io.NumericIO

write(int[]). Static method in class jnt.io.NumericIO

write(int[], String). Static method in class jnt.io.NumericIO

X

x. Variable in class jnt.util.Tuple

The first element of the tuple.

Y

y. Variable in class jnt.util.Tuple

The second element of the tuple.