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Algorithm Design Complexity

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Algorithm Design Complexity

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Research Frontiers in Approximation Algorithms for NP-Hard Problems

Design and analysis of polynomial-time approximation schemes with provable performance guarantees for computationally intractable optimization problems.

Subexponential Approximation Schemes Beyond Polynomial Boundaries

Inapproximability Barriers at the Quantum-Classical Interface

Streaming Approximations for Massive Combinatorial Optimization

Hybrid Randomized-Derandomized Methods in Constraint Satisfaction

Parameterized Approximation for Hard Graph Problems

Local Search Escapes: Beyond 2-Approximation Plateaus

Approximation Lower Bounds via Interactive Proof Systems

Distributed Approximation in Dynamic, Adversarial Networks

Semidefinite Programming Gaps and Algorithmic Thresholds

Approximation via Structural Decomposition of Hard Instances

All Algorithm Design & Complexity PhD categories