Concept

Implicit data structure

Related lectures (19)

Synthesis of Safe Pointer-Manipulating Programs

Introduces SuSLik, a program synthesizer generating safe low-level programs from logical specifications, showcasing its capabilities in handling linked data structures.

Matrix Multiplication and Divide-and-Conquer Techniques

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

Matrix Multiplication and Heap Data Structure

Covers the divide-and-conquer algorithm for matrix multiplication and introduces the (binary) heap data structure.

Heapsort and Priority Queues

Explores heapsort, priority queues, and their operations, highlighting time complexity and practicality.

Matrix Multiplication and Heaps: Efficient Algorithms

Discusses Strassen's algorithm for matrix multiplication and heaps, covering efficient algorithms and their applications in computer science.

Heapsort and Priority Queues

Covers the Heapsort algorithm, which sorts arrays efficiently using max-heaps and introduces priority queues.

Heaps: Data Structure and Heapsort

Explores heaps, heapsort, and their efficiency in implementing priority queues.

Heaps and Heapsort

Covers heaps, heapsort, heap data structure, storage in arrays, and heap property maintenance.

Heaps and Priority Queues

Explores heaps, heapsort, and priority queues, including operations and analysis.

New Technologies in Concurrent Algorithms: RDMA & Persistent Memory

Introduces RDMA and Persistent Memory, discussing their features, challenges, and impact on concurrent algorithms.

Build Your Database: Data Structure and Management

Covers the process of building a database and using Scratch for data visualization.

Fast Interval Queries

Focuses on designing a data structure for fast interval queries on a complete binary tree.

Understanding Vectors: sizeof()

Explores the C++ vector, emphasizing the sizeof operator and vector analysis.

Lists: Fundamental Data Structure in Functional Programming

Covers the syntax, differences, constructors, operations, patterns, sorting, and complexity of lists in functional programming.

Association Rule Mining

Introduces association rule mining, covering support, confidence, Apriori algorithm, and FP-growth for frequent itemset discovery.

Analysis of Randomized Quick Sort

Analyzes the running time and comparisons in randomized quick sort, proving its efficiency and optimality in comparison sorting.

Neurophysiological Data Analysis

Covers neurophysiological data analysis, including data structure organization and action potential detection.

Learning with Deep Neural Networks

Explores the success and challenges of deep learning, including overfitting, generalization, and the impact on various domains.

Unit Testing with JUnit: Arrays

Covers unit testing with JUnit for array methods, including testing minimum elements, handling exceptions, calculating averages, and sorting arrays.