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Discrete Mathematics

Explore the mathematical structures that are fundamentally discrete rather than continuous. Covers logic, set theory, graph theory, and combinatorics, essential for computer science.

Discrete Mathematics

Automata, Computability, and Complexity: A Foundational Guide

Foundational Ideas in Computer Science

Discrete Mathematics for Computer Science

Probabilistic Inference Algorithms: Foundations

Principles of Computer Systems and Distributed Architectures

Computability Theory and Logic with Scheme

Introduction to Algorithmic Lower Bounds and Hardness Proofs

Essential Coding Theory for Computer Science

Graph Theory and Additive Combinatorics for Beginners

Introduction to Computational Thinking and Mathematical Modeling

Discrete Mathematics for Computer Science Foundations

Principles of Discrete Applied Mathematics for Beginners

Probabilistic Methods in Combinatorics for Beginners

Introduction to the Analysis of Boolean Functions

Introduction to Probabilistically Checkable Proofs and Hardness of Approximation

Computer Science Algorithms: Graph Theory and Graph Traversals

Recursion Practice for Beginners: Mastering Factorials

Hexadecimal and Binary Number Conversions for Beginners

Introduction to the Hexadecimal System in Computing

Discrete Probability Distributions as Monads in C#

Probability Distribution Monads in C# with Round Numbers

Bitwise Semantics and Operations in D Programming

D Programming Fundamentals: Integer Arithmetic and Division Challenges

Bipartite Graph Verification with DFS and BFS