"The book discusses various design approaches of sparse arrays including those seeking to increase the corresponding one-dimensional and two-dimensional virtual array apertures and others that configure the arrays based on solutions of constrained minimization problems. The latter incudes statistical bounds and signal-to-interference and noise ratio. In this respect, the book utilizes the recent strides made in convex optimizations and machine learning for sparse array design in both fixed and dynamic environments. Similar ideas are presented for sparse waveform design and combined sparse array-waveform design. The book also considers the Perception-Action Cycle in cognitive sensing incorporating antenna switching and sparse arrays to achieve both direction finding and optimum beamforming"--