Nonlinear-solvers.md

@@ -75,13 +75,9 @@ the Newton-Raphson iteration becomes
 \mathbf{J}(\mathbf{x}_{k-1}) \mathbf{\delta x}_k
   = \mathbf{b} - \mathbf{A}(\mathbf{x}_{k-1}) \mathbf{x}_{k-1}
 ```
-with 
-```math
-\mathbf{J}(\mathbf{x})_{ij} 
+with $`\mathbf{J}(\mathbf{x})_{ij} 
 = \frac{\partial(\mathbf{A}(\mathbf{x})\mathbf{x})_i}{\partial\mathbf{x}_j}
-= \frac{\partial\mathbf{A}(\mathbf{x})_{ij}}{\partial\mathbf{x}_j} + \mathbf{A}(\mathbf{x})_{ij} .
-```
-Equivalently, one can solve
+= \frac{\partial\mathbf{A}(\mathbf{x})_{ij}}{\partial\mathbf{x}_j} + \mathbf{A}(\mathbf{x})_{ij}`$. Equivalently, one can solve
 ```math
 \mathbf{J}(\mathbf{x}_{k-1}) \mathbf{x}_k
   = \mathbf{b} - \mathbf{A}(\mathbf{x}_{k-1}) \mathbf{x}_{k-1} + \mathbf{J}(\mathbf{x}_{k-1}) \mathbf{x}_{k-1} .