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A key aspect of robotics today is estimating the state (e.g., position and orientation) of a robot, based on noisy sensor data. This book targets students and practitioners of …

The phenomenal international bestseller that shows us how to stop trying to predict everything - and take advantage of uncertainty What have the invention of the wheel, Pompeii, …

Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for …

Why information is the unifying principle that allows us to understand the evolution of complexity in natureMore than 150 years after Darwin’s revolutionary On the Origin of …

Complex systems seem to magically emerge from the interactions of their parts. A whirlpool emerges from water molecules.  A living cell from organic molecules. You emerge from the …

Proofs play a central role in advanced mathematics and theoretical computer science, yet many students struggle the first time they take a course in which proofs play a significant …

If you thought that data structures and algorithms were all just theory, you're missing out on what they can do for your code. Learn to use Big O Notation to make your code run …

Robust and Adaptive Control (second edition) shows readers how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. …

A cocktail party. A terrorist cell. Ancient bacteria. An international conglomerate. All are networks, and all are a part of a surprising scientific revolution. In Linked , …