Introduction to Algorithms

Related lectures (25)

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Covers the basics of image processing, focusing on writing a program to process images.

Covers the basics of C++ standard library containers, algorithms, and iterators.

Introduces the CS-250 Algorithms course, covering its structure, objectives, and key topics in algorithmic problem-solving.

Covers fundamental programming concepts such as algorithms, variables, and expressions in C++.

Introduces compiler theory, language processing, and the essential concepts behind building compilers.

Explores advanced MATLAB techniques, emphasizing vectorization, 'find' function, and plot manipulation.

Covers gradient line search methods and optimization techniques with an emphasis on Wolfe conditions and positive definiteness.

Introduces computational thinking, empowering individuals to create solutions through technology.

Covers optimization algorithms, focusing on Proximal Gradient Descent and its variations.

Discusses numerical methods, focusing on stopping criteria, SciPy for optimization, and data visualization with Matplotlib.