new small update

doc/pub/svm/html/._svm-bs016.html

@@ -165,7 +165,7 @@ $$
 {\cal L}=\sum_i\lambda_i-\frac{1}{2}\sum_{ij}^n\lambda_i\lambda_jy_iy_j\hat{x}_i^T\hat{x}_j,
 $$
 
-but now subject to the constraints \( \lambda_i\geq 0 \), \( \sum_i\lambda_iy_i=0 \) and $ 0 \leq \lambda_i \leq C$. 
+but now subject to the constraints \( \lambda_i\geq 0 \), \( \sum_i\lambda_iy_i=0 \) and \( 0\leq\lambda_i \leq C \). 
 We must in addition satisfy the Karush-Kuhn-Tucker condition which now reads
 $$
 \lambda_i\left[y_i(\hat{w}^T\hat{x}_i+b) -(1-\xi_)\right]=0 \hspace{0.1cm}\forall i,

doc/pub/svm/html/svm-reveal.html

@@ -772,7 +772,7 @@ $$
 $$
 <p>&nbsp;<br>
 
-but now subject to the constraints \( \lambda_i\geq 0 \), \( \sum_i\lambda_iy_i=0 \) and $ 0 \leq \lambda_i \leq C$. 
+but now subject to the constraints \( \lambda_i\geq 0 \), \( \sum_i\lambda_iy_i=0 \) and \( 0\leq\lambda_i \leq C \). 
 We must in addition satisfy the Karush-Kuhn-Tucker condition which now reads
 <p>&nbsp;<br>
 $$

doc/pub/svm/html/svm-solarized.html

@@ -614,7 +614,7 @@ $$
 {\cal L}=\sum_i\lambda_i-\frac{1}{2}\sum_{ij}^n\lambda_i\lambda_jy_iy_j\hat{x}_i^T\hat{x}_j,
 $$
 
-but now subject to the constraints \( \lambda_i\geq 0 \), \( \sum_i\lambda_iy_i=0 \) and $ 0 \leq \lambda_i \leq C$. 
+but now subject to the constraints \( \lambda_i\geq 0 \), \( \sum_i\lambda_iy_i=0 \) and \( 0\leq\lambda_i \leq C \). 
 We must in addition satisfy the Karush-Kuhn-Tucker condition which now reads
 $$
 \lambda_i\left[y_i(\hat{w}^T\hat{x}_i+b) -(1-\xi_)\right]=0 \hspace{0.1cm}\forall i,

doc/pub/svm/html/svm.html

@@ -619,7 +619,7 @@ $$
 {\cal L}=\sum_i\lambda_i-\frac{1}{2}\sum_{ij}^n\lambda_i\lambda_jy_iy_j\hat{x}_i^T\hat{x}_j,
 $$
 
-but now subject to the constraints \( \lambda_i\geq 0 \), \( \sum_i\lambda_iy_i=0 \) and $ 0 \leq \lambda_i \leq C$. 
+but now subject to the constraints \( \lambda_i\geq 0 \), \( \sum_i\lambda_iy_i=0 \) and \( 0\leq\lambda_i \leq C \). 
 We must in addition satisfy the Karush-Kuhn-Tucker condition which now reads
 $$
 \lambda_i\left[y_i(\hat{w}^T\hat{x}_i+b) -(1-\xi_)\right]=0 \hspace{0.1cm}\forall i,

doc/pub/svm/ipynb/svm.ipynb

@@ -988,7 +988,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "but now subject to the constraints $\\lambda_i\\geq 0$, $\\sum_i\\lambda_iy_i=0$ and $ 0 \\leq \\lambda_i \\leq C$. \n",
+    "but now subject to the constraints $\\lambda_i\\geq 0$, $\\sum_i\\lambda_iy_i=0$ and $0\\leq\\lambda_i \\leq C$. \n",
     "We must in addition satisfy the Karush-Kuhn-Tucker condition which now reads"
    ]
   },

doc/src/SupportVMachines/svm.do.txt

@@ -507,7 +507,7 @@ Inserting these constraints into the equation for ${\cal L}$ we obtain the same
 {\cal L}=\sum_i\lambda_i-\frac{1}{2}\sum_{ij}^n\lambda_i\lambda_jy_iy_j\hat{x}_i^T\hat{x}_j,
 \]
 !et
-but now subject to the constraints $\lambda_i\geq 0$, $\sum_i\lambda_iy_i=0$ and $ 0 \leq \lambda_i \leq C$. 
+but now subject to the constraints $\lambda_i\geq 0$, $\sum_i\lambda_iy_i=0$ and $0\leq\lambda_i \leq C$. 
 We must in addition satisfy the Karush-Kuhn-Tucker condition which now reads
 !bt
 \[