Initial program 16.1
\[\frac{\frac{\beta - \alpha}{\left(\alpha + \beta\right) + 2.0} + 1.0}{2.0}\]
Initial simplification16.1
\[\leadsto \frac{1.0 + \frac{\beta - \alpha}{\left(\alpha + \beta\right) + 2.0}}{2.0}\]
- Using strategy
rm Applied div-inv16.1
\[\leadsto \frac{1.0 + \color{blue}{\left(\beta - \alpha\right) \cdot \frac{1}{\left(\alpha + \beta\right) + 2.0}}}{2.0}\]
- Using strategy
rm Applied add-cbrt-cube16.1
\[\leadsto \frac{\color{blue}{\sqrt[3]{\left(\left(1.0 + \left(\beta - \alpha\right) \cdot \frac{1}{\left(\alpha + \beta\right) + 2.0}\right) \cdot \left(1.0 + \left(\beta - \alpha\right) \cdot \frac{1}{\left(\alpha + \beta\right) + 2.0}\right)\right) \cdot \left(1.0 + \left(\beta - \alpha\right) \cdot \frac{1}{\left(\alpha + \beta\right) + 2.0}\right)}}}{2.0}\]
- Using strategy
rm Applied add-log-exp16.1
\[\leadsto \frac{\sqrt[3]{\left(\color{blue}{\log \left(e^{1.0 + \left(\beta - \alpha\right) \cdot \frac{1}{\left(\alpha + \beta\right) + 2.0}}\right)} \cdot \left(1.0 + \left(\beta - \alpha\right) \cdot \frac{1}{\left(\alpha + \beta\right) + 2.0}\right)\right) \cdot \left(1.0 + \left(\beta - \alpha\right) \cdot \frac{1}{\left(\alpha + \beta\right) + 2.0}\right)}}{2.0}\]
Final simplification16.1
\[\leadsto \frac{\sqrt[3]{\left(1.0 + \frac{1}{\left(\beta + \alpha\right) + 2.0} \cdot \left(\beta - \alpha\right)\right) \cdot \left(\log \left(e^{1.0 + \frac{1}{\left(\beta + \alpha\right) + 2.0} \cdot \left(\beta - \alpha\right)}\right) \cdot \left(1.0 + \frac{1}{\left(\beta + \alpha\right) + 2.0} \cdot \left(\beta - \alpha\right)\right)\right)}}{2.0}\]