This text is a concise account of the fundamental principles of optimization theory blended in a judicious way with current research. Using the powerful language of convex analysis it helps the reader to probe into such advanced topics like Non-smooth Optimization and Conjugate Duality. The now traditional area of differentiable optimization has been revisited and many new insights have been provided by presenting very recent research in this area.