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fix: range auto

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This commit is contained in:
liuyihui 2022-07-04 23:48:30 +08:00
parent eafef1fd61
commit f0df27ef9b
3 changed files with 38 additions and 36 deletions
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10
MCA/MainFrm.cpp
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@ -368,8 +368,9 @@ void CMainFrame::OnOptOpen() {
// 其他设置
m_bClearFlag = TRUE;
pView->m_sRangeMode = "Auto";
OnRangeAuto();
pView->m_sSmoothType = "Origin";
UpdateValue();
pDoc->UpdateAllViews(NULL);
}
@ -519,8 +520,8 @@ void CMainFrame::OnAxisLog() {
if (pView == nullptr) pView = (CControlView*)pDoc->GetView(RUNTIME_CLASS(CControlView));
pView->m_sAxisMode = (CString)"Log";
pView->m_sRangeMode = "Auto";
pView->m_ComboAxis.SetCurSel(1);
OnRangeAuto();
m_bAutoFlag = FALSE;
m_bLinearFlag = TRUE;
m_bLogFlag = FALSE;
@ -538,6 +539,7 @@ void CMainFrame::OnRangeAuto() {
pView->m_sRangeMode = (CString)"Auto";
m_bAutoFlag = FALSE;
pView->m_nLC = max(1, RoundupPowerof2(pView->m_nMaxCount));
pView->UpdateData(FALSE);
pDoc->UpdateAllViews(NULL);
}
@ -550,7 +552,7 @@ void CMainFrame::OnRangeD4() {
if (pView == nullptr) pView = (CControlView*)pDoc->GetView(RUNTIME_CLASS(CControlView));
pView->m_sRangeMode = (CString)"Manual";
pView->m_nLC /= 4;
pView->m_nLC = pView->m_nLC > 1 ? pView->m_nLC / 4 : 1;
m_bAutoFlag = TRUE;
pView->UpdateData(FALSE);
pDoc->UpdateAllViews(NULL);
@ -561,7 +563,7 @@ void CMainFrame::OnRangeD2() {
if (pView == nullptr) pView = (CControlView*)pDoc->GetView(RUNTIME_CLASS(CControlView));
pView->m_sRangeMode = (CString)"Manual";
pView->m_nLC /= 2;
pView->m_nLC = pView->m_nLC > 1 ? pView->m_nLC / 2: 1;
m_bAutoFlag = TRUE;
pView->UpdateData(FALSE);
pDoc->UpdateAllViews(NULL);

48
MCA/Matrix.h
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@ -1,10 +1,10 @@
#pragma once
#ifndef DESCSS_Matrix_h
#define DESCSS_Matrix_h
#ifndef Matrix_h
#define Matrix_h
#include <iostream>
#define swap2(x, y) ((x)=(x)^(y),(y)=(x)^(y),(x)=(x)^(y))
#define swap2(x, y) ((x) = (x) ^ (y), (y) = (x) ^ (y), (x) = (x) ^ (y))
class matrix {
public:
@ -71,15 +71,9 @@ void matrix::Input(double* p) {
for (int j = 0; j < m; j++) this->element[i][j] = *(p++);
}
void matrix::Output() {
for (int i = 0; i < n; i++) {
for (int j = 0; j < m; j++) std::cout << element[i][j] << " ";
std::cout << std::endl;
}
}
double& matrix::operator()(int i, int j) const {
if (i < 0 || i > n - 1 || j < 0 || j > m - 1) std::cout << "Matrix Index Out Of Bounds " << std::endl;
if (i < 0 || i > n - 1 || j < 0 || j > m - 1)
std::cout << "Matrix Index Out Of Bounds " << std::endl;
return element[i][j];
}
@ -123,15 +117,22 @@ matrix matrix::operator/(const double& C) const {
return w;
}
BOOL LUPDescomposition(matrix mA, matrix& mL, matrix& mU, int* P)
{
std::ostream& operator<<(std::ostream& cout, matrix& mA) {
for (int i = 0; i < mA.rows(); i++) {
for (int j = 0; j < mA.cols(); j++) cout << mA(i, j) << " ";
if (i < mA.rows() - 1) cout << std::endl;
}
return cout;
}
bool LUPDescomposition(matrix mA, matrix& mL, matrix& mU, int* P) {
int n = mA.rows();
int row = 0, tmp;
double L, U, tmp2;
for (int i = 0; i < n; i++) P[i] = i;
for (int i = 0; i < n - 1; i++) {
tmp2 = 0.;
for(int j = i; j < n; j++)
for (int j = i; j < n; j++)
if (std::abs(mA(j, i)) > tmp2) {
tmp2 = std::abs(mA(j, i));
row = j;
@ -144,15 +145,13 @@ BOOL LUPDescomposition(matrix mA, matrix& mL, matrix& mU, int* P)
tmp = P[i], P[i] = P[row], P[row] = tmp;
for (int j = 0; j < n; j++)
tmp2 = mA(i, j), mA(i, j) = mA(row, j), mA(row, j) = tmp2;
for (int j = 0; j < n; j++) tmp2 = mA(i, j), mA(i, j) = mA(row, j), mA(row, j) = tmp2;
U = mA(i, i), L = 0;
for (int j = i + 1; j < n; j++) {
L = mA(j, i) / U;
mA(j, i) = L;
for (int k = i + 1; k < n; k++)
mA(j, k) = mA(j, k) - mA(i, k) * L;
for (int k = i + 1; k < n; k++) mA(j, k) = mA(j, k) - mA(i, k) * L;
}
}
for (int i = 0; i < n; i++) {
@ -160,7 +159,7 @@ BOOL LUPDescomposition(matrix mA, matrix& mL, matrix& mU, int* P)
for (int j = 0; j < i; j++) mL(i, j) = mA(i, j);
for (int j = i; j < n; j++) mU(i, j) = mA(i, j);
}
return TRUE;
return true;
}
matrix LUPSolve(matrix& mL, matrix& mU, int* P, double* b) {
@ -219,16 +218,17 @@ matrix matrix::T() {
return w;
}
double Gaussian(double x, double A, double mean, double sigma) {
double Gaussian_(double x, double A, double mean, double sigma) {
return A * exp(-(x - mean) * (x - mean) / (2 * sigma * sigma));
}
matrix Jacobian(int n, double* X, double A, double mean, double sigma) {
matrix GaussianJacobian_(int n, double* X, double A, double mean, double sigma) {
matrix J(n, 3);
for (int i = 0; i < n; i++) {
J(i, 0) = -Gaussian(X[i], A, mean, sigma) / A;
J(i, 1) = -(X[i] - mean) * Gaussian(X[i], A, mean, sigma) / (sigma * sigma);
J(i, 2) = -(X[i] - mean) * (X[i] - mean) * Gaussian(X[i], A, mean, sigma) / (sigma * sigma * sigma);
J(i, 0) = -Gaussian_(X[i], A, mean, sigma) / A;
J(i, 1) = -(X[i] - mean) * Gaussian_(X[i], A, mean, sigma) / (sigma * sigma);
J(i, 2) = -(X[i] - mean) * (X[i] - mean) * Gaussian_(X[i], A, mean, sigma) /
(sigma * sigma * sigma);
}
return J;
}