Lectures related to C++ Standard Library: Tools Overview

C++ Standard Library: Containers and Algorithms

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

Abstract Data Structures and Standard Libraries

Covers abstract data structures and the C++ standard library, including linked lists, stacks, queues, and complex numbers.

Standard Library: Containers and Algorithms

Explores C++ standard library containers and algorithms, including associative tables, stacks, queues, and random number generation.

C++ Standard Library: Containers and Algorithms

Explores containers and algorithms in the C++ standard library, including find, copy, and sort functionalities.

Introduction to Algorithms: Course Overview and Basics

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

Abstract Data Structures in C++

Covers procedural and object-oriented programming, abstract data structures, templates, and the C++ standard library.

Algorithms in Computer Science: Search and Sort Techniques

Provides an overview of essential search and sort algorithms in computer science.

STL, Exceptions

Covers the STL in C++, smart pointers, and error management including exceptions and STL exception classes.

Optimization Algorithms: Greedy Approach

Explores optimization problems and greedy algorithms for efficient decision-making.

STL Essentials

Covers the essential concepts of the Standard Template Library (STL) in C++ for efficient data manipulation.

Pointers: Strings, Functions, Casting

Covers pointers to strings, functions, and casting in C programming.

Java Programming: Strings and Arrays

Covers fundamental programming and object-oriented programming concepts in Java, including variables, types, control structures, and basic algorithmic concepts.

Merge Sort: Sorting Algorithm

Explains the merge sort algorithm, its correctness, and time complexity compared to other sorting algorithms.

Python Programming: Dictionaries and Classes

Introduces Python programming concepts, focusing on dictionaries and classes, including their definitions, usage, and practical examples.

Introduction to Algorithms: Basics and Importance

Covers the basics of algorithms, the importance of studying them, data structures, and the impact of algorithms on various fields.

Matrix Multiplication and Divide-and-Conquer Techniques

Discusses matrix multiplication using divide-and-conquer techniques and introduces Strassen's algorithm for improved efficiency.

Programming basics: introduction and algorithms

Introduces programming basics, covering Unix systems, Firefox, algorithms, and data structures.

Lambda Functions in Java

Covers lambda functions in Java, focusing on sorting algorithms implementation.

Differentiable Ranking and Sorting

Explores differentiable ranking and sorting techniques for machine learning applications.

Algorithmic Challenges: Solutions and Optimization

Explores algorithmic challenges, time complexity, optimization, recursion, and probability calculations.