Complexity theory is a branch of computer science that studies the resources required to solve computational problems, particularly focusing on the classification of problems based on their inherent ...

UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...

Counting Constraint Satisfaction Problems (commonly referred to as #CSP) form a foundational framework in computational complexity theory by addressing the challenge of enumerating all possible ...