Exponential Theory

​"A Blueprint for Future Entrepreneurs"-Daymond John, Shark Tank Investor"Innovating Through Extreme Uncertainty"-Ash Maurya, Lean Canvas Creator​ According to Steve Jobs, “Innovation distinguishes between a leader and a follower.” The rise of digital technology in business has made this statement truer now more than ever. Today, businesses can be created, marketed, and ready to interact with customers in the blink of an eye, with nothing more than an internet connection! This accelerated pace of business is wreaking havoc on companies that are “too big to fail,” sometimes in a matter of months. Any company or leader that doesn't move at an exponential pace will be crushed by new, massively transformative organizations that are invading new industries every day. Thankfully, guides like Bill Gates, Jeff Bezos, and Elon Musk continue to provide us a roadmap for navigating this exponential horizon. Exponential Theory provides ten keys of exponential leadership in order to solve climate change, social imbalances, and other wicked problems. It is time for a new generation of leadership—one that is purposeful, conscious, digital, and above all, exponential.

The definitive leadership book on digital adaptation and solving major global crises.

The exponential distribution is one of the most significant and widely used distribution in statistical practice. It possesses several important statistical properties, and yet exhibits great mathematical tractability. This volume provides a systematic and comprehensive synthesis of the diverse literature on the theory and applications of the expon

The exponential distribution is one of the most significant and widely used distribution in statistical practice. It possesses several important statistical properties, and yet exhibits great mathematical tractability. This volume provides a systematic and comprehensive synthesis of the diverse literature on the theory and applications of the expon

Littlewood-Paley theory is an essential tool of Fourier analysis, with applications and connections to PDEs, signal processing, and probability. It extends some of the benefits of orthogonality to situations where orthogonality doesn’t really make sense. It does so by letting us control certain oscillatory infinite series of functions in terms of infinite series of non-negative functions. Beginning in the 1980s, it was discovered that this control could be made much sharper than was previously suspected. The present book tries to give a gentle, well-motivated introduction to those discoveries, the methods behind them, their consequences, and some of their applications.

The Handbook of Graph Theory is the most comprehensive single-source guide to graph theory ever published. Best-selling authors Jonathan Gross and Jay Yellen assembled an outstanding team of experts to contribute overviews of more than 50 of the most significant topics in graph theory-including those related to algorithmic and optimization approach

This book provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs).