Abstract

LATIN is devoted to different areas in theoretical computer science including, but not limited to: algorithms (approximation, online, combinatorial optimization, etc.), algorithmic game theory, analytic combinatorics and analysis of algorithms, automata theory and formal languages, combinatorics and graph theory, computational algebra and number theory, computational complexity, computational biology, computational geometry, data structures and information retrieval, foundations of data science and theoretical machine learning, parallel and distributed computing, quantum computing, randomization and pseudorandomness, sublinear algorithms and testing.