In computer science, a code property graph (CPG) is a computer program representation that captures syntactic structure, control flow, and data dependencies in a property graph. The concept was originally introduced to identify security vulnerabilities in C and C++ system code, but has since been employed to analyze web applications, cloud deployments, and smart contracts. Beyond vulnerability discovery, code property graphs find applications in code clone detection, attack-surface detection, exploit generation, measuring code testability, and backporting of security patches. (Wikipedia).
What are the important things to know about the graph of a function
π Learn about the characteristics of a function. Given a function, we can determine the characteristics of the function's graph. We can determine the end behavior of the graph of the function (rises or falls left and rises or falls right). We can determine the number of zeros of the functi
From playlist Characteristics of Functions
Boundness of a function from a graph
π Learn about the characteristics of a function. Given a function, we can determine the characteristics of the function's graph. We can determine the end behavior of the graph of the function (rises or falls left and rises or falls right). We can determine the number of zeros of the functi
From playlist Characteristics of Functions
Analyzing the characteristics of a polynomial graph
π Learn about the characteristics of a function. Given a function, we can determine the characteristics of the function's graph. We can determine the end behavior of the graph of the function (rises or falls left and rises or falls right). We can determine the number of zeros of the functi
From playlist Characteristics of Functions
Describing a relation as a graph table and map
π functions are the possible output values (y-values) of the function. To find the domain of a function from a table we list out the set of the input values and for the range we list out the set of output values. To find the domain and the range of a function from a graph, we use the behav
From playlist What is the Domain and Range of the Function
π Learn about the characteristics of a function. Given a function, we can determine the characteristics of the function's graph. We can determine the end behavior of the graph of the function (rises or falls left and rises or falls right). We can determine the number of zeros of the functi
From playlist Characteristics of Functions
Learn how to analyze the characteristics of a polynomial graph
π Learn about the characteristics of a function. Given a function, we can determine the characteristics of the function's graph. We can determine the end behavior of the graph of the function (rises or falls left and rises or falls right). We can determine the number of zeros of the functi
From playlist Characteristics of Functions
Absolute or relative minimum of graph?
π Learn about the characteristics of a function. Given a function, we can determine the characteristics of the function's graph. We can determine the end behavior of the graph of the function (rises or falls left and rises or falls right). We can determine the number of zeros of the functi
From playlist Characteristics of Functions
π Learn about the characteristics of a function. Given a function, we can determine the characteristics of the function's graph. We can determine the end behavior of the graph of the function (rises or falls left and rises or falls right). We can determine the number of zeros of the functi
From playlist Characteristics of Functions
What information can you learn from the graph of a polynomial
π Learn about the characteristics of a function. Given a function, we can determine the characteristics of the function's graph. We can determine the end behavior of the graph of the function (rises or falls left and rises or falls right). We can determine the number of zeros of the functi
From playlist Characteristics of Functions
Lifting small locally testable codes (LTCs) to large LTCs via HDXs - Prahladh Harsha
Computer Science/Discrete Mathematics Seminar I Topic: Lifting small locally testable codes (LTCs) to large LTCs via HDXs Speaker: Prahladh Harsha Affiliation: Tata Institute of Fundamental Research Date: November 25, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics
The PCP theorem, locally testable codes, and property testing - Irit Dinur
Stability and Testability Topic: The PCP theorem, locally testable codes, and property testing Speaker: Irit Dinur Affiliation: Weizmann Institute of Science Date: January 13, 2021 For more video please visit http://video.ias.edu
From playlist Stability and Testability
High Dimensional Expansion and Error Correcting Codes - Irit Dinur
Hermann Weyl Lectures Topic: High Dimensional Expansion and Error Correcting Codes Speaker: Irit Dinur Affiliation: Weizmann Institute of Science; Visiting Professor, School of Mathematics Date: November 19, 2019 For more video please visit http://video.ias.edu
From playlist Hermann Weyl Lectures
List decoding with double samplers - Inbal Livni-Navon
Computer Science/Discrete Mathematics Seminar I Topic: List decoding with double samplers Speaker: Inbal Livni-Navon Affiliation: Weizmann Institute Date: December 6, 2021 The ABNNR encoding is a classical encoding scheme that amplifies the distance of an error correcting code. The enco
From playlist Mathematics
Locally testable codes with constant rate, distance, and locality, Part I - Irit Dinur
Computer Science/Discrete Mathematics Seminar I Topic: Locally testable codes with constant rate, distance, and locality, Part I Speaker: Irit Dinur Affiliation: Weizmann Institute Date: October 25, 2021 A locally testable code (LTC) is an error correcting code that admits a very efficie
From playlist Mathematics
Thresholds for Random Subspaces, aka, LDPC Codes Achieve List-Decoding Capacity - Mary Wootters
Computer Science/Discrete Mathematics Seminar I Topic: Thresholds for Random Subspaces, aka, LDPC Codes Achieve List-Decoding Capacity Speaker: Mary Wootters Affiliation: Stanford University Date: November 30, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
High Dimensional Expanders and Ramanujan Complexes - Alexander Lubotzky
Computer Science/Discrete Mathematics Seminar II Topic: High Dimensional Expanders and Ramanujan Complexes Speaker: Alexander Lubotzky Affiliation: Hebrew University Date: December 8, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Natasha Dobrinen: Borel sets of Rado graphs are Ramsey
The Galvin-Prikry theorem states that Borel partitions of the Baire space are Ramsey. Thus, given any Borel subset $\chi$ of the Baire space and an infinite set $N$, there is an infinite subset $M$ of $N$ such that $\left [M \right ]^{\omega }$ is either contained in $\chi$ or disjoint fr
From playlist Combinatorics
An introductory survey on expanders and their applications - Avi Wigderson
Computer Science/Discrete Mathematics Seminar II Topic: An introductory survey on expanders and their applications Speaker: Avi Wigderson Affiliation: Herbert H. Maass Professor, School of Mathematics Date: September 29, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
SDS 479: Knowledge Graphs β with Maureen Teyssier
Maureen Teyssier joins us to discuss the cutting-edge work Reonomy is doing in commercial property real estate and her views and tips on building a great data science team. In this episode you will learn: β’ Maureenβs work with Reonomy [3:33] β’ Knowledge graphs and use cases [5:16] β’ Other
From playlist Super Data Science Podcast
How to determine multiple characteristics of the graph of a polynomial
π Learn about the characteristics of a function. Given a function, we can determine the characteristics of the function's graph. We can determine the end behavior of the graph of the function (rises or falls left and rises or falls right). We can determine the number of zeros of the functi
From playlist Characteristics of Functions