LMMC
Lamina Mathematic core
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optimize_newton.c
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1#include "optimize_internal.h"
2
8
9static lmmc_status_t newton_workspace_create(
10 size_t n, lmmc_newton_workspace_t* work)
11{
13 n, 3, 2, 0, 1, &work->arena);
14 if (status != LMMC_STATUS_OK) { return status; }
15 work->value = lmmc_opt_workspace_vector(&work->arena, n);
16 work->delta = lmmc_opt_workspace_vector(&work->arena, n);
17 work->rhs = lmmc_opt_workspace_vector(&work->arena, n);
18 work->jacobian = lmmc_opt_workspace_matrix(&work->arena, n);
19 work->lu = lmmc_opt_workspace_matrix(&work->arena, n);
20 return LMMC_STATUS_OK;
21}
22
23static lmmc_optimize_failure_t newton_step(
25{
26 const size_t n = x->size;
27 lmmc_status_t status;
28 size_t i;
29 memcpy(work->lu.data, work->jacobian.data, n * n * sizeof(lmmc_real_t));
30 status = lmmc_lu_decompose_inplace(&work->lu, work->arena.pivots, NULL);
31 if (status == LMMC_STATUS_SINGULAR_MATRIX) {
33 }
34 if (status != LMMC_STATUS_OK) { return LMMC_OPT_FAILURE_NUMERICAL_ISSUE; }
35 for (i = 0; i < n; ++i) {
36 work->rhs.data[i] = -work->value.data[i];
37 }
38 status = lmmc_lu_solve(&work->lu, work->arena.pivots,
39 &work->rhs, &work->delta);
40 if (status != LMMC_STATUS_OK) { return LMMC_OPT_FAILURE_SINGULAR_JACOBIAN; }
41 for (i = 0; i < n; ++i) {
42 x->data[i] += work->delta.data[i];
43 }
45}
46
48 lmmc_opt_func_t F, lmmc_opt_jac_t J, void* user_data,
51{
53 lmmc_status_t status;
54 lmmc_real_t initial_residual = 0.0;
55 size_t iter;
56 if (F == NULL || !lmmc_optimize_arguments_valid(x, cfg, out)) {
58 }
60 status = newton_workspace_create(x->size, &work);
61 if (status != LMMC_STATUS_OK) { return status; }
62
64 for (iter = 0; ; ++iter) {
65 lmmc_real_t norm;
66 status = F(x, &work.value, user_data);
67 if (status != LMMC_STATUS_OK) {
68 out->final_residual = NAN;
70 break;
71 }
72 norm = lmmc_optimize_norm(&work.value);
73 if (lmmc_optimize_stop(norm, &initial_residual, iter, cfg, out)) { break; }
75 status = lmmc_optimize_jacobian(F, J, user_data, x, &work.value,
76 &work.jacobian, &work.delta, &work.rhs);
77 if (status != LMMC_STATUS_OK) {
79 break;
80 }
81 out->failure_reason = newton_step(&work, x);
82 if (out->failure_reason != LMMC_OPT_FAILURE_NONE) { break; }
83 out->num_iter = iter + 1;
84 lmmc_optimize_emit(cfg, "newton", iter + 1, &norm, 1);
85 }
87 return LMMC_STATUS_OK;
88}
double lmmc_real_t
Public and internal LMMC real type.
lmmc_real_t * data
lmmc_real_t * data
行优先存储的稠密矩阵。
一维稠密向量。
lmmc_status_t lmmc_lu_solve(const lmmc_mat_t *lu, const size_t *pivots, const lmmc_vec_t *b, lmmc_vec_t *x)
利用 LU 分解结果求解线性系统 A*x = b。
lmmc_status_t lmmc_lu_decompose_inplace(lmmc_mat_t *a, size_t *pivots, size_t *out_swap_count)
就地 LU 分解(带部分主元选取):P*A = L*U。
void lmmc_memory_free(void *pointer)
lmmc_real_t lmmc_optimize_norm(const lmmc_vec_t *v)
计算向量的 L2 范数。
lmmc_mat_t lmmc_opt_workspace_matrix(lmmc_opt_workspace_t *work, size_t n)
lmmc_status_t lmmc_optimize_jacobian(lmmc_opt_func_t F, lmmc_opt_jac_t J, void *user_data, const lmmc_vec_t *x, const lmmc_vec_t *Fx, lmmc_mat_t *matrix, lmmc_vec_t *x_pert, lmmc_vec_t *F_pert)
临时向量由外层求解器一次性分配。
void lmmc_optimize_emit(const lmmc_optimize_config_t *cfg, const char *operation, size_t iteration, const lmmc_real_t *values, size_t value_count)
lmmc_vec_t lmmc_opt_workspace_vector(lmmc_opt_workspace_t *work, size_t n)
int lmmc_optimize_stop(lmmc_real_t norm, lmmc_real_t *initial, size_t iteration, const lmmc_optimize_config_t *cfg, lmmc_optimize_result_t *out)
lmmc_status_t lmmc_opt_workspace_create(size_t n, size_t vectors, size_t matrices, size_t extra, int need_pivots, lmmc_opt_workspace_t *work)
void lmmc_optimize_result_init(lmmc_optimize_result_t *out)
int lmmc_optimize_arguments_valid(const lmmc_vec_t *x, const lmmc_optimize_config_t *cfg, const lmmc_optimize_result_t *out)
lmmc_optimize_failure_t
优化失败原因枚举。
@ LMMC_OPT_FAILURE_NONE
@ LMMC_OPT_FAILURE_SINGULAR_JACOBIAN
@ LMMC_OPT_FAILURE_NUMERICAL_ISSUE
lmmc_status_t(*) lmmc_opt_func_t(const lmmc_vec_t *x, lmmc_vec_t *F, void *user_data)
非线性函数回调:计算 F(x)。
lmmc_optimize_failure_t failure_reason
lmmc_status_t(*) lmmc_opt_jac_t(const lmmc_vec_t *x, lmmc_mat_t *J, void *user_data)
Jacobian 回调:计算 J(x)。
lmmc_status_t lmmc_nleq_newton(lmmc_opt_func_t F, lmmc_opt_jac_t J, void *user_data, lmmc_vec_t *x, const lmmc_optimize_config_t *cfg, lmmc_optimize_result_t *out)
Newton 法求解非线性方程组 F(x) = 0。
优化算法配置参数。
工作区由本次调用拥有,视图仅借用存储,释放由调用方负责。
lmmc_opt_workspace_t arena
lmmc_status_t
LMMC 库统一返回的状态码.
@ LMMC_STATUS_OK
@ LMMC_STATUS_SINGULAR_MATRIX
@ LMMC_STATUS_INVALID_ARGUMENT