From 339c3e81b1b57f7f61884c4e636df1213feedab4 Mon Sep 17 00:00:00 2001
From: Nicolas <reckertni101608@th-nuernberg.de>
Date: Sun, 16 Nov 2025 20:43:25 +0100
Subject: [PATCH] All Tests Passed

---
 matrix.c | 48 ++++++++++++++++++++++++++++++++++++++----------
 1 file changed, 38 insertions(+), 10 deletions(-)

diff --git a/matrix.c b/matrix.c
index 936eaab..3e7a79e 100644
--- a/matrix.c
+++ b/matrix.c
@@ -46,21 +46,49 @@ MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int co
     return matrix.buffer[rowIdx * matrix.cols + colIdx];
 }
 
-// Addition
+// Addition (with broadcasting support for bias)
 Matrix add(const Matrix matrix1, const Matrix matrix2)
 {
     Matrix result;
-    if (matrix1.rows != matrix2.rows || matrix1.cols != matrix2.cols) {
-        result.rows = 0;
-        result.cols = 0;
-        result.buffer = NULL;
+    
+    // Case 1: Exact same dimensions
+    if (matrix1.rows == matrix2.rows && matrix1.cols == matrix2.cols) {
+        result = createMatrix(matrix1.rows, matrix1.cols);
+        for (unsigned int i = 0; i < matrix1.rows * matrix1.cols; i++)
+            result.buffer[i] = matrix1.buffer[i] + matrix2.buffer[i];
         return result;
     }
-
-    result = createMatrix(matrix1.rows, matrix1.cols);
-    for (unsigned int i = 0; i < matrix1.rows * matrix1.cols; i++)
-        result.buffer[i] = matrix1.buffer[i] + matrix2.buffer[i];
-
+    
+    // Case 2: matrix1 is (rows x 1) column vector, matrix2 is (rows x cols) - broadcast bias
+    if (matrix1.rows == matrix2.rows && matrix1.cols == 1) {
+        result = createMatrix(matrix2.rows, matrix2.cols);
+        for (unsigned int col = 0; col < matrix2.cols; col++) {
+            for (unsigned int row = 0; row < matrix2.rows; row++) {
+                MatrixType val1 = matrix1.buffer[row * matrix1.cols + 0];
+                MatrixType val2 = matrix2.buffer[row * matrix2.cols + col];
+                result.buffer[row * result.cols + col] = val1 + val2;
+            }
+        }
+        return result;
+    }
+    
+    // Case 3: matrix2 is (rows x 1) column vector, matrix1 is (rows x cols) - broadcast bias
+    if (matrix2.rows == matrix1.rows && matrix2.cols == 1) {
+        result = createMatrix(matrix1.rows, matrix1.cols);
+        for (unsigned int col = 0; col < matrix1.cols; col++) {
+            for (unsigned int row = 0; row < matrix1.rows; row++) {
+                MatrixType val1 = matrix1.buffer[row * matrix1.cols + col];
+                MatrixType val2 = matrix2.buffer[row * matrix2.cols + 0];
+                result.buffer[row * result.cols + col] = val1 + val2;
+            }
+        }
+        return result;
+    }
+    
+    // No valid case - return empty matrix
+    result.rows = 0;
+    result.cols = 0;
+    result.buffer = NULL;
     return result;
 }