Advanced algorithms build upon basic ones and use new ideas. We will start with networks flows which are used in more typical applications such as optimal matchings, finding disjoint paths and flight scheduling as well as more surprising ones like image segmentation in computer vision.

This course is a first-year graduate course in algorithms. Emphasis is placed on fundamental algorithms and advanced methods of algorithmic design, analysis, and implementation. Techniques to be covered include amortization, randomization, fingerprinting, word-level parallelism, bit scaling, dynamic programming, network flow, linear programming ...

We will cover a broad selection of topics including amortization, hashing, dimensionality reduction, bit scaling, network flow, linear programming, and approximation algorithms.

The focus is on most powerful paradigms and techniques of how to design algorithms, and measure their efficiency. The topics will include hashing, sketching, dimension reduction, spectral graph theory, optimization (linear programming, gradient descent, IPM), multiplicative weights, compressed sensing, and others.

CS 224 is an advanced course in algorithm design, and topics we will cover include the word RAM model, data structures, amortization, online algorithms, linear programming, semidefinite programming, approximation algorithms, hashing, randomized algorithms, fast exponential time algorithms, graph algorithms, and computational geometry.

We will cover a broad selection of topics including amortization, hashing, dimensionality reduction, bit scaling, network flow, linear programming, and approximation algorithms.

Discover Advanced Algorithms Courses designed to deepen your expertise and mastery in various skills. Enhance your professional capabilities with in-depth knowledge today.

In this course, we will study the mathematical foundations behind these convex programs, give algorithms to solve them, and show how LPs and SDPs can be used to solve other algorithmic and math problems of interest.

A guided tour for Algorithms and Programming Techniques, Theory and Solved Problems

Sep 10, 2024 · In this post, we will discuss Important top 10 algorithms and data structures for competitive coding. Topics : The links below cover most important algorithms and data structure topics: Graph Algorithms. All Graph Algorithms. Dynamic Programming. All DP Algorithms. Searching And Sorting. All Articles on Searching, Sorting and Pattern Searching.