程序包 org.meteoinfo.math.linalg

类 EOF

java.lang.Object

org.meteoinfo.math.linalg.EOF

public class EOF
extends Object

作者:

Yaqiang Wang

嵌套类概要

嵌套类

限定符和类型	类	说明
static class	EOF.DataProMethod

构造器概要

构造器

构造器	说明
EOF()

方法概要

限定符和类型	方法	说明
static Object[]	jacobi(int N, boolean EV, double[][] A)	Calculate eigen value and eigen vector using Jacobi method
static Object[]	jacobi(int N, boolean EV, double[][] A, int MAXTIMES)	Calculate eigen value and eigen vector using Jacobi method
static Object[]	jacobi(int N, boolean EV, Array A)	Calculate eigen value and eigen vector using Jacobi method
static Object[]	jacobi(int N, boolean EV, Array A, int MAXTIMES)	Calculate eigen value and eigen vector using Jacobi method
static Object[]	SEOF(int N, int LL, double[][] f, double[][] H)	EOF algorithm
static Object[]	SEOF(int N, int LL, double[][] f, EOF.DataProMethod method)	EOF algorithm
static Object[]	SEOF(int N, int LL, Array f, EOF.DataProMethod method)	EOF algorithm
static Object[]	SEOF(int N, int LL, Array f, Array H)	EOF algorithm
static Object[]	SEOF(Array f, EOF.DataProMethod method)	EOF algorithm

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

构造器详细资料

EOF

public EOF()

方法详细资料

SEOF

public static Object[] SEOF(int N,
                            int LL,
                            double[][] f,
                            EOF.DataProMethod method)

EOF algorithm

参数:

N - Station or grid number

LL - Time dimension number

f - Origin data

method - Method

返回:

Eigen vector, time factor, accumulated explained variance, ordered eigen value

SEOF

public static Object[] SEOF(int N,
                            int LL,
                            double[][] f,
                            double[][] H)

EOF algorithm

参数:

N - Station or grid number

LL - Time dimension number

f - Origin data

H - Processed data

返回:

Eigen vector, time factor, accumulated explained variance, ordered eigen value

SEOF

public static Object[] SEOF(Array f,
                            EOF.DataProMethod method)

EOF algorithm

参数:

f - Origin data

method - Method

返回:

Eigen vector, time factor, accumulated explained variance, ordered eigen value

SEOF

public static Object[] SEOF(int N,
                            int LL,
                            Array f,
                            EOF.DataProMethod method)

EOF algorithm

参数:

N - Station or grid number

LL - Time dimension number

f - Origin data

method - Method

返回:

Eigen vector, time factor, accumulated explained variance, ordered eigen value

SEOF

public static Object[] SEOF(int N,
                            int LL,
                            Array f,
                            Array H)

EOF algorithm

参数:

N - Station or grid number

LL - Time dimension number

f - Origin data

H - Processed data

返回:

Eigen vector, time factor, accumulated explained variance, ordered eigen value

jacobi

public static Object[] jacobi(int N,
                              boolean EV,
                              double[][] A)

Calculate eigen value and eigen vector using Jacobi method

参数:

N - Time dimension number

EV - Always as true

A - Input matrix data

返回:

Eigen value and eigen vector

jacobi

public static Object[] jacobi(int N,
                              boolean EV,
                              Array A)

Calculate eigen value and eigen vector using Jacobi method

参数:

N - Time dimension number

EV - Always as true

A - Input matrix data

返回:

Eigen value and eigen vector

jacobi

public static Object[] jacobi(int N,
                              boolean EV,
                              double[][] A,
                              int MAXTIMES)

Calculate eigen value and eigen vector using Jacobi method

参数:

N - Time dimension number

EV - Always as true

A - Input matrix data

MAXTIMES - Maximum iteration times, default is 50

返回:

Eigen value and eigen vector

jacobi

public static Object[] jacobi(int N,
                              boolean EV,
                              Array A,
                              int MAXTIMES)

Calculate eigen value and eigen vector using Jacobi method

参数:

N - Time dimension number

EV - Always as true

A - Input matrix data

MAXTIMES - Maximum iteration times, default is 50

返回:

Eigen value and eigen vector