Dynamic Systems in Biology

Related lectures (30)

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Covers the basics of numerical analysis and computational methods using Python, focusing on algorithms and practical applications in mathematics.

Explores numerical methods in biomechanics for hip implants and emphasizes understanding conditions for improved designs and patient outcomes.

Covers mathematical modeling in chemistry and biology, including chemical reactions, enzymatic kinetics, and population dynamics.

Covers numerical differentiation, forward differences, Taylor's expansion, Big O notation, and error minimization.

Explores the Kuramoto model for synchronization in phase oscillators and discusses stability criteria and critical coupling values.

Explores methods for solving non-linear ODE systems and discusses stability conditions.

Explores advanced space discretization techniques in numerical analysis for solving differential systems efficiently and accurately.

Covers numerical methods for root finding, focusing on the secant and Newton's methods.

Covers the numerical approach to derivative calculation, focusing on formulas and methods such as fine differences.

Explores numerical methods for solving ODE systems, stability regions, and absolute stability importance.