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Related lectures (30)
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Numerical Analysis: Newton's Method
Explores Newton's method for finding roots of nonlinear equations and its interpretation as a second-order method.
Graph Coloring: Theory and Applications
Covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring.
Numerical Analysis: Nonlinear Equations
Explores the numerical analysis of nonlinear equations, focusing on convergence criteria and methods like bisection and fixed-point iteration.
Loops: Iteration and Simplification
Covers the concept of loops in programming, including for, while, and do-while loops.
LLL Algorithm
Covers the LLL algorithm for reducing lattice bases to shorter and more orthogonal forms through iterative transformations.
Stopping Criteria for Fixed Point Iteration
Discusses stopping criteria for fixed point iteration in nonlinear equations and how to manage errors.
Markov Games: Concepts and Applications in Reinforcement Learning
Covers Markov games, their dynamics, equilibria, and applications in reinforcement learning.
Newton Method: Nonlinear Equations
Introduces the Newton method for solving nonlinear equations through iterative processes and practical examples.
Linked Lists: Implementation and Iteration
Covers the implementation of linked lists in Java, focusing on operations and testing.
Collections: Iterators
Explains how to use iterators in Java collections to iterate over list elements.
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