jacobian

commit 21a55fb3a2b3aa32c11e44ceb20a83aac22f957e
parent c22125aba7a7b89776995ebc6c360c82d206002e
Author: David Freifeld <freifeld.david@gmail.com>
Date:   Thu, 11 Jun 2020 14:38:16 -0700

C++ implmentation begins

Diffstat:
A
test.cpp
 | 
76
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

1 file changed, 76 insertions(+), 0 deletions(-)
diff --git a/test.cpp b/test.cpp
@@ -0,0 +1,76 @@
+// extern "C" void C_library_function(int x, int y);
+#include "/Users/davidfreifeld/Downloads/eigen-3.3.7/Eigen/Dense"
+#include <vector>
+#include <array>
+#include <cstdlib>
+
+struct Matrix
+{
+public:
+  int rows;
+  int columns;
+  int** contents;
+
+  Matrix(int c, int r, int* vals);
+};
+
+Matrix::Matrix(int c, int r, int* vals)
+{
+  rows = r;
+  columns = c;
+  int row_count = 0;
+  for (int i = 0; i < columns*rows; i++) {
+    contents[row_count][i%4] = vals[i];
+    if ((i+1)%2 == 0) {
+      row_count++;
+    }
+  }
+}
+
+class Node;
+class Edge {
+  Node* source;
+  Node* end;
+  int weight;
+
+  Edge(Node* srcaddr, Node* endaddr);
+};
+
+Edge::Edge(Node* srcaddr, Node* endaddr)
+{
+  source = srcaddr;
+  end = endaddr;
+  weight = rand();
+}
+
+class Node {
+public:
+  std::vector<Edge> incoming;
+  std::vector<Edge> outgoing;
+  int activation;
+  int bias;
+
+  Node(int before, int after);
+};
+
+Node::Node(int before, int after)
+{
+  activation = 0;
+  bias = rand();
+}
+
+class Layer {
+  Node* nodes;
+  int length;
+};
+
+class Network {
+  Layer* layers;
+  int length;
+};
+
+int main()
+{
+  int bruh[4] = {1,2,3,4};
+  Matrix test (2,2, bruh);
+}