Complexity of Algorithms: Big-O

Related lectures (30)

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Explores complex roots, conjugate pairs, and quadratic equations solving strategies.

Introduces the basics of polynomials on a field, focusing on definitions, operations, and properties.

Explores algorithmic complexity, comparing growth rates using Theta notation and characterizing different complexity classes.

Analyzes the growth of functions to understand algorithm complexity and efficiency.

Explores algorithm complexity, time complexity estimation, Landau notations, and asymptotic behavior analysis.

Covers Coppersmith's method for finding small roots of polynomials modulo N efficiently.

Explores polynomials, their operations, and the concept of ideals in polynomial rings.

Explores Bezier curves, emphasizing control points and curve regularity.

Covers the theory of polynomials, including definitions, properties, and applications.

Explores the process of division euclidienne in polynomials, emphasizing the importance of polynomial degrees during operations.