feat: add eigen2 frequency pipeline and fail-closed validation

Implement MITC4 mass, constrained whitening, MKL FEAST, modal HDF5, and deterministic Value comparison. MSVC Debug builds; 394 of 395 tests pass. Original-model all-c residual and the documented S3 static contract conflict remain unresolved; this is an implementation checkpoint, not feature acceptance.
This commit is contained in:
KOKO\Mimi
2026-09-09 03:14:30 +09:00
parent e74ac247db
commit 22c9d4435c
39 changed files with 7240 additions and 541 deletions
@@ -0,0 +1,83 @@
#ifndef FESA_SOLVERS_EIGEN_MKL_FEAST_EIGEN_SOLVER_H_
#define FESA_SOLVERS_EIGEN_MKL_FEAST_EIGEN_SOLVER_H_
#include <cstddef>
#include <cstdint>
#include <string>
#include <vector>
#include "fesa/core/status.h"
#include "fesa/math/matrix.h"
namespace fesa {
class SparseMatrix;
/// @brief Records one deterministic private-backend invocation.
struct FeastBackendCall {
std::size_t ordinal;
std::string kind;
std::string purpose;
double lower;
double upper;
std::size_t allocated_m0;
int info;
bool count_available;
std::size_t count;
bool loop_available;
int loop;
bool epsout_available;
double epsout;
std::string outcome;
std::string decision_reason;
};
/// @brief Owns the complete validated FEAST interval result before public N
/// selection.
struct FeastEigenResult {
std::size_t requested_modes;
std::vector<double> eigenvalues;
Matrix eigenvectors;
double operator_scale;
std::vector<std::size_t> column_ids;
std::vector<bool> backend_res_available;
std::vector<double> backend_res;
std::vector<double> normalized_eigenvalues;
std::vector<double> whitened_residuals;
double gram_error;
std::vector<FeastBackendCall> backend_calls;
std::vector<std::int64_t> base_fpm;
std::string runtime_version;
std::string integer_abi;
std::size_t thread_count;
std::uint64_t seed;
double enclosure_lower;
double enclosure_upper;
double solve_lower;
double solve_upper;
std::string upper_search_termination;
};
/// @brief Solves a whitened real-symmetric eigenproblem with oneMKL FEAST.
class MklFeastEigenSolver final {
public:
/// @brief Computes all validated interval pairs for a requested lowest-mode
/// prefix.
/// @param whitened_operator Symmetric physical-lambda operator after
/// whitening.
/// @param requested_modes Number of lowest modes eventually exposed by the
/// caller.
/// @param zero_operator_scale Positive physical scale used only when A is
/// exactly zero.
/// @return Sorted all-c eigenpairs in physical lambda units or a solver
/// failure.
/// @note The implementation fixes oneMKL local thread count to one during
/// every call.
Result<FeastEigenResult> Solve(const SparseMatrix& whitened_operator,
std::size_t requested_modes,
double zero_operator_scale) const;
};
} // namespace fesa
#endif // FESA_SOLVERS_EIGEN_MKL_FEAST_EIGEN_SOLVER_H_