Eig
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Menghitung dekomposisi eigen dari satu atau lebih matriks persegi.
Menghitung nilai eigen dan (opsional) vektor eigen kanan dari setiap matriks bagian dalam di `input` sehingga `input[..., :, :] = v[..., :, :] * diag(e[..., :])`. Nilai eigen diurutkan dalam urutan tidak menurun.
# a is a tensor.
# e is a tensor of eigenvalues.
# v is a tensor of eigenvectors.
e, v = eig(a)
e = eig(a, compute_v=False)
Konstanta
| Rangkaian | OP_NAME | Nama operasi ini dikenal dengan mesin inti TensorFlow |
Metode Warisan
Dari kelas java.lang.Object | boolean | sama dengan (Objek arg0) |
| Kelas terakhir<?> | dapatkan Kelas () |
| ke dalam | Kode hash () |
| kekosongan terakhir | beri tahu () |
| kekosongan terakhir | beri tahuSemua () |
| Rangkaian | keString () |
| kekosongan terakhir | tunggu (arg0 panjang, int arg1) |
| kekosongan terakhir | tunggu (argumen panjang0) |
| kekosongan terakhir | Tunggu () |
Konstanta
String akhir statis publik OP_NAME
Nama operasi ini dikenal dengan mesin inti TensorFlow
Nilai Konstan: "Eig"
Metode Publik
Eig.Options komputasiV statis publik (komputasi Boolean)
Parameter
| komputasiV | Jika `True` maka vektor eigen akan dihitung dan dikembalikan dalam `v`. Jika tidak, hanya nilai eigen yang akan dihitung. |
|---|
Metode pabrik untuk membuat kelas yang membungkus operasi Eig baru.
Parameter
| cakupan | ruang lingkup saat ini |
|---|
| masukan | Masukan `Tensor` berbentuk `[N, N]`. |
|---|
| pilihan | membawa nilai atribut opsional |
|---|
Nilai eigen. Bentuknya adalah `[N]`.
vektor eigen. Bentuknya adalah `[N, N]`.
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# Eig\n\npublic final class **Eig** \nComputes the eigen decomposition of one or more square matrices.\n\n\nComputes the eigenvalues and (optionally) right eigenvectors of each inner matrix in\n\\`input\\` such that \\`input\\[..., :, :\\] = v\\[..., :, :\\] \\* diag(e\\[..., :\\])\\`. The eigenvalues\nare sorted in non-decreasing order. \n\n # a is a tensor.\n # e is a tensor of eigenvalues.\n # v is a tensor of eigenvectors.\n e, v = eig(a)\n e = eig(a, compute_v=False)\n \n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n### Nested Classes\n\n|-------|---|---|--------------------------------------------------------------------------------|\n| class | [Eig.Options](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig.Options) || Optional attributes for [Eig](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig) |\n\n### Constants\n\n|--------|--------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [Eig.Options](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig.Options) | [computeV](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig#computeV(java.lang.Boolean))(Boolean computeV) |\n| static \\\u003cU extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e [Eig](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig)\\\u003cU\\\u003e | [create](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003c? extends org.tensorflow.types.family.TType\u003e, java.lang.Class\u003cU\u003e, org.tensorflow.op.linalg.Eig.Options...))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c? extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e input, Class\\\u003cU\\\u003e Tout, [Options...](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig.Options) options) Factory method to create a class wrapping a new Eig operation. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e | [e](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig#e())() Eigenvalues. |\n| [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e | [v](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig#v())() Eigenvectors. |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.RawOp](/jvm/api_docs/java/org/tensorflow/op/RawOp) \n\n|----------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/jvm/api_docs/java/org/tensorflow/op/RawOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/jvm/api_docs/java/org/tensorflow/op/RawOp#hashCode())() |\n| [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/RawOp#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n| final String | [toString](/jvm/api_docs/java/org/tensorflow/op/RawOp#toString())() |\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nFrom interface [org.tensorflow.op.Op](/jvm/api_docs/java/org/tensorflow/op/Op) \n\n|-----------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [ExecutionEnvironment](/jvm/api_docs/java/org/tensorflow/ExecutionEnvironment) | [env](/jvm/api_docs/java/org/tensorflow/op/Op#env())() Return the execution environment this op was created in. |\n| abstract [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/Op#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n\nConstants\n---------\n\n#### public static final String\n**OP_NAME**\n\nThe name of this op, as known by TensorFlow core engine \nConstant Value: \"Eig\"\n\nPublic Methods\n--------------\n\n#### public static [Eig.Options](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig.Options)\n**computeV**\n(Boolean computeV)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| computeV | If \\`True\\` then eigenvectors will be computed and returned in \\`v\\`. Otherwise, only the eigenvalues will be computed. |\n|----------|-------------------------------------------------------------------------------------------------------------------------|\n\n#### public static [Eig](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig)\\\u003cU\\\u003e\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c? extends [TType](/jvm/api_docs/java/org/tensorflow/types/family/TType)\\\u003e input, Class\\\u003cU\\\u003e Tout, [Options...](/jvm/api_docs/java/org/tensorflow/op/linalg/Eig.Options) options)\n\nFactory method to create a class wrapping a new Eig operation. \n\n##### Parameters\n\n| scope | current scope |\n| input | \\`Tensor\\` input of shape \\`\\[N, N\\]\\`. |\n| options | carries optional attributes values |\n|---------|-----------------------------------------|\n\n##### Returns\n\n- a new instance of Eig \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e\n**e**\n()\n\nEigenvalues. Shape is \\`\\[N\\]\\`. \n\n#### public [Output](/jvm/api_docs/java/org/tensorflow/Output)\\\u003cU\\\u003e\n**v**\n()\n\nEigenvectors. Shape is \\`\\[N, N\\]\\`."]]
