Guarenteed Global Minima while Linear, Logistic Regression and SVMs!

Linear Regression, Logistic Regression and SVM all have convex functions. Convex functions means that if we found local minima, that minima is global minima. I cannot practically and intuitively understand this behaviour. Everything works mathematically but intuitively I cant understand why each cost function leads us to having global minima!