Sinopsis
Preliminaries.- and Historical Review.- Algorithms and Data.- Programming Languages and Paradigms.- Methods and Analysis.- Algorithmic Methods.- The Correctness of Algorithms.- The Efficiency of Algorithms.- Limitations and Robustness.- Inefficiency and Intractability.- Noncomputability and Undecidability.- Algorithmic Universality and Its Robustness.- Relaxing the Rules.- Parallelism, Concurrency, and Alternative Models.- Probabilistic Algorithms.- Cryptography and Reliable Interaction.- The Bigger Picture.- Software Engineering.- Reactive Systems.- Algorithmics and Intelligence.
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