Chapter 1: What is the Sublinear Computation Paradigm?.- Chapter 2: Property Testing on Graphs and Games.- Chapter 3: Constant-Time Algorithms for Continuous Optimization Problems.- Chapter 4: Oracle-based Primal-Dual Algorithms for Packing and Covering Semidefinite Programs.- Chapter 5: Almost Linear Time Algorithms for Some Problems on Dynamic Flow Networks.- Chapter 6: Sublinear Data Structure.- Chapter 7: Compression and Pattern Matching.- Chapter 8: Orthogonal Range Search Data Structures.- Chapter 9: Enhanced RAM Simulation in Succinct Space.- Chapter 10: Review of Sublinear Modeling in Markov Random Fields by Statistical-Mechanical Informatics and Statistical Machine Learning Theory.- Chapter 11: Empirical Bayes Method for Boltzmann Machines.- Chapter 12: Dynamical analysis of quantum annealing.- Chapter 13: Mean-field analysis of Sourlas codes with adiabatic reverse annealing.- Chapter 14: Rigidity theory for protein function analysis and structural accuracy validations.- Chapter 15: Optimization of Evacuating and Walking Home Routes from Osaka City with Big Road Network Data on Nankai Megathrust Earthquake.- Chapter 16: Stream-based Lossless Data Compression.

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