An introduction to expander families and Ramanujan graphs by Tony Shaheen from CSU Los Angeles. The discussion covers the concept of regular graphs, motivation behind expander families, communication networks, and the goal of creating an infinite sequence of d-regular graphs optimized for communicat

0 views • 54 slides

Dive into the world of product and knowledge graphs, uncovering the journey to a rich product graph, examples of knowledge graphs for songs, and the mission to provide comprehensive information on products and related knowledge. Discover use cases ranging from information provision to enhancing sear

3 views • 76 slides

Computational thinking is a critical skill for the digital age, involving problem-solving techniques that enable computers to process information effectively. It precedes programming and requires breaking down complex problems into manageable steps. Educators emphasize computational thinking exercis

7 views • 4 slides

This Master's program offers a comprehensive curriculum focusing on Artificial Intelligence, Computational Drug Discovery, and Development. With a blend of cutting-edge technologies and practical applications, students delve into techniques, AI/ML, big data mining, modeling, and more. Through intens

1 views • 7 slides

Explore the fascinating fields of Computational Linguistics and Natural Language Processing (NLP), delving into their development, applications, and significance. Learn about the study of human languages in computational models, the importance of corpora in linguistic research, and the various types

1 views • 33 slides

Delve into the world of data visualization with slow reveal graphs, column graphs, pictographs, dot plots, divided bar graphs, sector graphs, line graphs, and stem-and-leaf plots. Engage in observations and wonderings to enhance statistical comprehension and analytical skills.

1 views • 8 slides

This chapter delves into various types of graphs used in data representation, such as bar graphs, pie graphs, histograms, line graphs, and linear graphs. It explains the purpose and structure of each graph type, along with practical examples. Additionally, it covers the Cartesian system for locating

0 views • 15 slides

Bar graphs are useful for displaying and comparing data, while double bar graphs help compare two related datasets. Histograms show the distribution of data. Learn how to interpret and create these visual representations effectively with examples provided.

0 views • 20 slides

This research explores primal-dual algorithms for node-weighted network design in planar graphs, focusing on feedback vertex set problems, flavors and toppings of FVS, FVS in general graphs, and FVS in planar graphs. The study delves into NP-hard problems, approximation algorithms, and previous rela

0 views • 17 slides

Gain intuition on how position, velocity, and acceleration are visually related through s-t, v-t, and a-t graphs. Discover how to interpret and draw accurate velocity vs. time plots based on position vs. time data. Learn the significance of comparing these charts and how they can be useful in variou

0 views • 20 slides

Learn how to graph equations and find equations from graphs of straight lines. Explore tables of values, plotting points on a coordinate plane, drawing lines through points, and identifying relationships between graphs and algebraic expressions. Discover the gradient-intercept form of a straight lin

0 views • 14 slides

Explore the concept of speed vs. time graphs and learn how to recognize acceleration, interpret speed, analyze motion, and calculate acceleration from the slope of the graph. Discover the characteristics of graphs showing constant acceleration, varying acceleration, and deceleration. Engage in drawi

0 views • 19 slides

In the age of vast data growth, tackling complex computational problems is crucial. Statistical physics can provide insights into handling the new challenges arising from the exponential increase in data. As we delve into understanding the complexity of computational tasks, it becomes evident that e

0 views • 24 slides

This lecture outlines the structure and query process of Priority Search Trees (PST) in computational geometry. It covers heap-based point queries, range trees for windowing queries, handling query ranges in 1D and 2D spaces, and using heaps to efficiently handle query ranges. The content discusses

1 views • 18 slides

Explore the representation of abstract groups as automorphism groups of graphs, touching on topics such as the existence of graphs whose automorphism groups are isomorphic to given abstract groups, the cardinality of connected graphs satisfying specific properties, and questions regarding the cardin

0 views • 16 slides

Explore the intriguing world of low threshold rank graphs and their structural properties, including spectral graph theory, Cheeger's inequality, and generalizations to higher eigenvalues. Learn about the concept of threshold rank, partitioning of graphs, diameter limits, and eigenvectors approximat

0 views • 22 slides

Different types of graphs, such as line graphs, scatter plots, histograms, box plots, bar graphs, and pie charts, offer diverse ways to represent data effectively. Understanding when to use each type based on the data being collected is essential for insightful analysis. Scatter plots are ideal for

2 views • 37 slides

Learn how to analyze and relate two quantities using graphs, analyze data presented in tables and graphs, and sketch graphs representing various scenarios such as the movement of a model rocket or a playground swing. The visuals provided will help you understand how to interpret and draw graphs in d

2 views • 7 slides

Irina Tezaur leads the Quantitative Modeling & Analysis Department, focusing on computational modeling and simulation of complex multi-scale, multi-physics problems. Her work benefits DOE nuclear weapons, national security, and climate missions. By employing innovative techniques like model order re

0 views • 6 slides

Computational Biology combines computational methods with molecular biology to solve biological problems. Explore topics like proteins, DNA, RNA, and genetics, learning about amino acids, nucleotides, and the genetic code. Understand the evolutionary processes of mutation and natural selection.

0 views • 21 slides

In this content, various graphs are used to demonstrate the concept of correlation in scatter graphs. It discusses positive, negative, and no correlation, showcasing how one variable affects the other. Examples and explanations are provided to help understand the relationships between different sets

0 views • 17 slides

Exploring the concept of a Symmetric Chromatic Function (SCF) for voltage graphs involves proper coloring conditions for edges and vertices, edge polarization functions, and decomposing voltage graphs into disconnected and connected squiggly graphs. The SCF allows for determining the number of ways

0 views • 7 slides

Research conducted at the University of West Georgia focused on uniquely bipancyclic graphs, defined as bipartite graphs with exactly one cycle of specific lengths determined by the order. Uniquely bipancyclic graphs have special properties, including having a Hamiltonian cycle and a specific order

0 views • 18 slides

Explore how students can grasp information through graphical formats and convert it into mathematical graphs. Learn about qualitative graphs, functions, axes, and more. Delve into exercises matching graphs with situations and drawing graphs for given scenarios like plane take-off, biking, and snowbo

0 views • 16 slides

Adjacency labeling schemes involve assigning L-bit labels to vertices in a graph for efficient edge determination. The concept of induced-universal graphs is explored, where a graph is universal for a family F if all graphs in F are subgraphs of it. Theorems and lower bounds related to adjacency lab

0 views • 24 slides

Practical private-key cryptography can be done without advanced math, but understanding computational number theory is essential for public-key encryption. This field focuses on the computational difficulty of problems, analyzing algorithms' running times, classifying problems as easy or hard based

0 views • 27 slides

Explore the concepts of kinematics graphs through diagrams and descriptions. Learn to interpret distance-time, velocity-time, and speed-time graphs. Understand key parameters such as displacement, initial velocity, final velocity, constant acceleration, and time spent on different parts of a journey

0 views • 33 slides

Delve into the fundamentals of Computer Science and Computational Thinking through chapters discussing the nature of science, predictions in physics, and the distinction between Computer Science and Computer Information Systems. Explore the relationships between Math, Physics, and Computer Science i

0 views • 29 slides

Our project for The Cadenza Challenge 2023 focused on improving audio for headphone users with hearing loss by integrating Spleeter's deep learning capabilities. We utilized N-ALR prescriptions, Butterworth bandpass filters, and Dynamic Range Compression to enhance audio quality. By leveraging advan

0 views • 19 slides

The North American Computational Linguistics Olympiad (NACLO) is a competition for high school students interested in linguistics, languages, and computation. It consists of an Open Round in January and an Invitational Round in March, with no prerequisites needed. Participants tackle easy problems i

0 views • 4 slides

The Mississippi Center for Supercomputing Research (MCSR) supports computational research in various fields like Chemistry, Bioinformatics, Physics, Engineering, and Computer Science for Mississippi IHLs. They provide training to optimize computational resources, offer classes for computational trai

0 views • 23 slides

Explore the world of graphs through definitions, types, and special features. Learn about vertices, edges, simple and multiple graphs, directed and undirected graphs, and more. Discover the terminology and special types of graphs along with basic concepts and properties.

0 views • 33 slides

This content delves into the realm of graph theory, focusing on the fundamental concepts and applications of graphs. It covers topics such as the Seven Bridges of Königsberg problem, types of graphs, vertex degrees, degree sequences, handshaking theorem, and more. Through visual aids and explanatio

0 views • 71 slides

In this series of images and text snippets, the discussion revolves around the emerging field of computational theories of brain function. Various aspects such as symbolic memories, the relationship between the brain and computation, the emergence of the mind from the brain, and computational thinki

0 views • 53 slides

Explore the world of Computational Earth Science with Bill Menke as the instructor and Emily Glazer as the teaching assistant. The course aims to help you become proficient in applying Python-based computational methods to understand dynamic Earth Science phenomena. Through modeling, you will gain i

0 views • 34 slides

Dive into the world of expander graphs and their diverse applications in communication networks, group relations, and computational complexity theory. Gain insights into the fundamental properties of graphs, the concept of graph expansion, and intriguing problems such as hardness results for linear

0 views • 18 slides

Explore the concepts of binary relations, directed graphs, adjacency matrices, transitive closure, and walks in the context of discrete structures. Learn how vertices, edges, in-degrees, out-degrees, and self-loops are defined in directed graphs. Understand the importance of adjacency matrices in re

0 views • 28 slides

Graphs in mathematics and computer science are abstract data types used to represent relationships between objects. They consist of vertices connected by edges, which can be directed or undirected. Graphs find applications in various fields like electric circuits, networks, and transportation system

0 views • 19 slides

Graphs are fundamental objects in discrete mathematics that model relationships between pairs of objects. This overview covers the vocabulary, formal definitions, and types of graphs, including directed and undirected graphs. Learn about vertices, edges, adjacency, and more essential concepts in gra

0 views • 18 slides

The workshop at the 8th EAI International Conference on Design, Learning & Innovation (DLI 2023) in Aalborg aims to delve into the application of computational play with mathematics in early childhood education. Through live sessions and discussions, opportunities and challenges in utilizing computa

0 views • 7 slides