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The authors are referring to a Pareto Frontier https://en.wikipedia.org/wiki/Pareto_front

Great game! Curious what design decisions you would change if you were starting from scratch.

“What information consumes is rather obvious: it consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention, and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.” - Herbert Simon

111TWh is well beyond a typical hydroelectric dam output (most are an order of magnitude lower storage and generation). As an example, the very sizable Australian Snowy Hydro 2.0 upon completion is estimated to have storage for 350GWh (the Australian national energy market is ~190TWh). The original Snowy Hydro (9 stations) has annual energy production of ~5GWh.

There are two out-of-field books that I always recommend to policy analysts, economists, and regulatory drafters: The Design of Everyday Things by Don Norman, and Algorithms To Live By by Brian Christian and Thomas Griffiths. Both are high signal-to-noise primers on topics that are relevant in decision making and policy, but are rarely covered in an economics or public policy curriculum.

Equally "The Art of Doing Science and Engineering" by Hamming is one of the best books around on the philosophy of problem solving, and an excellent primer on core concepts in signals processing, information theory, and computing.

You might be interested in this 1 page paper by John Nash, which proves the existence of equilibria for finite N-player games (an extremely powerful result). In essence it uses a set theory result (Kakutani's fixed point theorem), and simply notes that his description of a N-player game meets the required conditions for that result to hold. http://www.sscnet.ucla.edu/polisci/faculty/chwe/austen/nash1...

Braess Paradox is one of the nicest results in network science and traffic engineering. It's possible to find examples of its application in any situation that can be modelled as a network, from graph neural network architecture (removing connections and inducing sparsity can lead to better generalisation and efficiency under conditions); economics (introducing new trade connections can reduce wellbeing and efficiency under conditions); organisational theory (introducing firewalls between teams can reduce the prevalence of groupthink); and many more.

There's an analogous concept to Nash equilibria in transport engineering known as Wardrop's First Principle. In essence, at equilibrium no user has an incentive to change their behaviour by choosing an alternative route. A 'central routing algorithm' that optimises over the system is in essence Wardrop's Second Principle. https://en.wikipedia.org/wiki/John_Glen_Wardrop

As a related Adelaide fact - the center of town is ringed by a "moat" of parklands, each ostensibly the width of a cannonball and designed as a defensive structure (an invading force would need to run through a cannon's worth of artillary). On a map the green square is extremely distinctive https://en.wikipedia.org/wiki/Adelaide_Park_Lands#/media/Fil...

As an aside it's worth noting that RSA itself is partially-homomorphic (ciphertext multiplications are preserved in the decrypted plaintext).

The idea of 'homomorphic encryption' was even introduced by another Rivest and Adleman paper, almost immediately after the famous 1977 RSA algorithm ("On Data Banks and Privacy Homomorphisms" by Rivest, Adleman, and Dertouzos 1978).