类 EOF
- java.lang.Object
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- org.meteoinfo.math.linalg.EOF
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public class EOF extends java.lang.Object- 作者:
- Yaqiang Wang
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嵌套类概要
嵌套类 修饰符和类型 类 说明 static classEOF.DataProMethod
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构造器概要
构造器 构造器 说明 EOF()
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方法概要
所有方法 静态方法 具体方法 修饰符和类型 方法 说明 static java.lang.Object[]jacobi(int N, boolean EV, double[][] A)Calculate eigen value and eigen vector using Jacobi methodstatic java.lang.Object[]jacobi(int N, boolean EV, double[][] A, int MAXTIMES)Calculate eigen value and eigen vector using Jacobi methodstatic java.lang.Object[]jacobi(int N, boolean EV, ucar.ma2.Array A)Calculate eigen value and eigen vector using Jacobi methodstatic java.lang.Object[]jacobi(int N, boolean EV, ucar.ma2.Array A, int MAXTIMES)Calculate eigen value and eigen vector using Jacobi methodstatic java.lang.Object[]SEOF(int N, int LL, double[][] f, double[][] H)EOF algorithmstatic java.lang.Object[]SEOF(int N, int LL, double[][] f, EOF.DataProMethod method)EOF algorithmstatic java.lang.Object[]SEOF(int N, int LL, ucar.ma2.Array f, EOF.DataProMethod method)EOF algorithmstatic java.lang.Object[]SEOF(int N, int LL, ucar.ma2.Array f, ucar.ma2.Array H)EOF algorithmstatic java.lang.Object[]SEOF(ucar.ma2.Array f, EOF.DataProMethod method)EOF algorithm
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方法详细资料
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SEOF
public static java.lang.Object[] SEOF(int N, int LL, double[][] f, EOF.DataProMethod method)EOF algorithm- 参数:
N- Station or grid numberLL- Time dimension numberf- Origin datamethod- Method- 返回:
- Eigen vector, time factor, accumulated explained variance, ordered eigen value
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SEOF
public static java.lang.Object[] SEOF(int N, int LL, double[][] f, double[][] H)EOF algorithm- 参数:
N- Station or grid numberLL- Time dimension numberf- Origin dataH- Processed data- 返回:
- Eigen vector, time factor, accumulated explained variance, ordered eigen value
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SEOF
public static java.lang.Object[] SEOF(ucar.ma2.Array f, EOF.DataProMethod method)EOF algorithm- 参数:
f- Origin datamethod- Method- 返回:
- Eigen vector, time factor, accumulated explained variance, ordered eigen value
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SEOF
public static java.lang.Object[] SEOF(int N, int LL, ucar.ma2.Array f, EOF.DataProMethod method)EOF algorithm- 参数:
N- Station or grid numberLL- Time dimension numberf- Origin datamethod- Method- 返回:
- Eigen vector, time factor, accumulated explained variance, ordered eigen value
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SEOF
public static java.lang.Object[] SEOF(int N, int LL, ucar.ma2.Array f, ucar.ma2.Array H)EOF algorithm- 参数:
N- Station or grid numberLL- Time dimension numberf- Origin dataH- Processed data- 返回:
- Eigen vector, time factor, accumulated explained variance, ordered eigen value
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jacobi
public static java.lang.Object[] jacobi(int N, boolean EV, double[][] A)Calculate eigen value and eigen vector using Jacobi method- 参数:
N- Time dimension numberEV- Always as trueA- Input matrix data- 返回:
- Eigen value and eigen vector
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jacobi
public static java.lang.Object[] jacobi(int N, boolean EV, ucar.ma2.Array A)Calculate eigen value and eigen vector using Jacobi method- 参数:
N- Time dimension numberEV- Always as trueA- Input matrix data- 返回:
- Eigen value and eigen vector
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jacobi
public static java.lang.Object[] jacobi(int N, boolean EV, double[][] A, int MAXTIMES)Calculate eigen value and eigen vector using Jacobi method- 参数:
N- Time dimension numberEV- Always as trueA- Input matrix dataMAXTIMES- Maximum iteration times, default is 50- 返回:
- Eigen value and eigen vector
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jacobi
public static java.lang.Object[] jacobi(int N, boolean EV, ucar.ma2.Array A, int MAXTIMES)Calculate eigen value and eigen vector using Jacobi method- 参数:
N- Time dimension numberEV- Always as trueA- Input matrix dataMAXTIMES- Maximum iteration times, default is 50- 返回:
- Eigen value and eigen vector
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