Modular Arithmetic: Exponentiation Optimization

Related lectures (28)

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Covers prime numbers, primality testing algorithms, modular arithmetic, and efficient exponentiation methods.

Covers the fast exponentiation algorithm and its time complexity, prime number properties, and the El-Gamal encryption scheme.

Covers examples of modular exponentiation, complexities, Lame's Theorem, Collatz Conjecture, and prime numbers.

Introduces deterministic approaches to identify prime numbers and covers algorithms and modular arithmetic for prime number testing.

Covers optimization algorithms, convergence properties, and time complexity of sequences and functions.

Explores prime numbers, modular arithmetic, Wilson's theorem, and complexity analysis.

Covers the analysis of algorithm efficiency and optimizing code for faster execution.

Explores algorithmic challenges, time complexity, optimization, recursion, and probability calculations.

Explores dynamic programming for efficient problem-solving, illustrated with binomial coefficients and Pascal's triangle.

Explores critical phenomena in complex systems, including stochastic objects, percolation, and combinatorial optimization.