53 lines
2.2 KiB
C++
53 lines
2.2 KiB
C++
// SPDX-License-Identifier: Apache-2.0
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//
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// Copyright 2008-2016 Conrad Sanderson (http://conradsanderson.id.au)
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// Copyright 2008-2016 National ICT Australia (NICTA)
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// ------------------------------------------------------------------------
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namespace newarp
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{
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//! The enumeration of selection rules of desired eigenvalues.
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struct EigsSelect
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{
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enum SELECT_EIGENVALUE
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{
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LARGEST_MAGN = 0, //!< Select eigenvalues with largest magnitude.
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//!< Magnitude means the absolute value for real numbers and norm for complex numbers.
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//!< Applies to both symmetric and general eigen solvers.
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LARGEST_REAL, //!< Select eigenvalues with largest real part. Only for general eigen solvers.
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LARGEST_IMAG, //!< Select eigenvalues with largest imaginary part (in magnitude). Only for general eigen solvers.
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LARGEST_ALGE, //!< Select eigenvalues with largest algebraic value, considering any negative sign. Only for symmetric eigen solvers.
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SMALLEST_MAGN, //!< Select eigenvalues with smallest magnitude. Applies to both symmetric and general eigen solvers.
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SMALLEST_REAL, //!< Select eigenvalues with smallest real part. Only for general eigen solvers.
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SMALLEST_IMAG, //!< Select eigenvalues with smallest imaginary part (in magnitude). Only for general eigen solvers.
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SMALLEST_ALGE, //!< Select eigenvalues with smallest algebraic value. Only for symmetric eigen solvers.
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BOTH_ENDS //!< Select eigenvalues half from each end of the spectrum.
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//!< When `nev` is odd, compute more from the high end. Only for symmetric eigen solvers.
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};
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};
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} // namespace newarp
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