Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.

Flow Problems. Complexity Theory: P vs NP Advanced Topics (Subject to Change) Combinatorial Optimization: Randomization and Approximation. Geometric Algorithms String Algorithms Quantum Algorithms ...

Definition of a Data Structure & Algorithms. Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

In theory, it cannot be ruled out that the algorithms might run for longer than the age of the universe. But in practice, many algorithms seem to work just fine. Almost always.

CSCA 5414: Dynamic Programming, Greedy Algorithms – Cross-listed with DTSA 5503 CSCA 5424: Approximation Algorithms and Linear Programming CSCA 5454: Advanced Data Structures, RSA and Quantum ...

What practice problems look like. Google explained it as an “interactive feature tests your knowledge of high school math, chemistry and physics topics directly on Search.” ...

M.Sc. Andreas Grigorjew defends his doctoral thesis "Algorithms and Graph Structures for Splitting Network Flows, in Theory and Practice " on Wednesday the 19th of February 2025 at 13 o'clock in the ...