Floating point | Computer arithmetic
Floating-point error mitigation is the minimization of errors caused by the fact that real numbers cannot, in general, be accurately represented in a fixed space. By definition, floating-point error cannot be eliminated, and, at best, can only be managed. Huberto M. Sierra noted in his 1956 patent "Floating Decimal Point Arithmetic Control Means for Calculator": Thus under some conditions, the major portion of the significant data digits may lie beyond the capacity of the registers. Therefore, the result obtained may have little meaning if not totally erroneous. The Z1, developed by Konrad Zuse in 1936, was the first computer with floating-point arithmetic and was thus susceptible to floating-point error. Early computers, however, with operation times measured in milliseconds, were incapable of solving large, complex problems and thus were seldom plagued with floating-point error. Today, however, with supercomputer system performance measured in petaflops, floating-point error is a major concern for computational problem solvers. The following sections describe the strengths and weaknesses of various means of mitigating floating-point error. (Wikipedia).
Evaluate the left and right hand limit of basic ap calculus examples
π Learn about the limit of a function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is said to exist if the value which the function approaches as x (or the inde
From playlist Evaluate the Limit..........Help!
Direct substitution with the left hand limit
π Learn how to evaluate the limit of a function involving rational expressions. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is usually evaluated by direct subst
From playlist Evaluate the Limit (PC)
π Learn how to evaluate the limit of a function involving trigonometric expressions. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is usually evaluated by direct
From playlist Evaluate Limits with Trig
Using trig limits to evaluate the limit
π Learn how to evaluate the limit of a function involving trigonometric expressions. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is usually evaluated by direct
From playlist Evaluate Limits with Trig
[c][explained] Demystifying Pointers β Function Pointers
Find the complete program on https://www.notion.so/theteachr/Function-Pointers-9848de630cae47a7ad1ca5552d23a66d.
From playlist Demystifying Pointers
Use limit laws and special trig limits to evaluate
π Learn how to evaluate the limit of a function involving trigonometric expressions. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is usually evaluated by direct
From playlist Evaluate Limits with Trig
The IBM Quantum team will take you on an unprecedented technological deep dive into the future of quantum computing. Using our Development Roadmap as our guide, the team will be sharing many new technological breakthroughs from 2021, making more announcements for 2022, charting a course to
From playlist Quantum Computing
Learn how to use special trig limits to evaluate
π Learn how to evaluate the limit of a function involving trigonometric expressions. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is usually evaluated by direct
From playlist Evaluate Limits with Trig
Privacy-Aware Neural Network Classification & Training
From 25 June to 14 September 2018, 20 interns worked across nine projects. This series is a compilation of their final presentation. Speaker(s): Ali Shahin Shamsabadi, Queen Mary University of London Nitin Agrawal, University of Oxford We are currently involved in an exciting re-struct
From playlist Intern project presentations 2018
Evaluate the limit with tangent
π Learn how to evaluate the limit of a function involving trigonometric expressions. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is usually evaluated by direct
From playlist Evaluate Limits with Trig
SOURCE Boston 2008: Detailed Thread Modeling
Speakers: Nish Bhalla - Founder of Security Compass Krish Raja - Application Security Consultant with Security Compass Threat Modeling is quickly becoming a popular technique used to assess the security posture of an application's architectural components. But is there a way to perform su
From playlist SOURCE Boston 2008
Analog vs. Digital Epsilons: Implementation Considerations Considerations for Differential Privacy
A Google TechTalk, presented by Olya Ohrimenko, 2021/11/17 Differential Privacy for ML series.
From playlist Differential Privacy for ML
How to evaluate the special trig limit with sine and fractions
π Learn how to evaluate the limit of a function involving trigonometric expressions. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is usually evaluated by direct
From playlist Evaluate Limits with Trig
Getting High-Quality Data for Your Computer Vision Models
Thought leaders in the Artificial Intelligence space such as Andrew Ng have been advocating for a shift from model-centric to data-centric AI. The idea behind this campaign is that AI models can be only marginally improved through tweaks in the algorithm but considerable change can only be
From playlist Fundamentals of Machine Learning
Unity - ECS (Entity, Component, System)
From playlist Unity game engine
O'Reilly Webcast: Developing Effective OCUnit and UI Automation Testing for iOS
The iPhone is a powerful development platform, but can be a difficult one to develop effective testing methodologies for. The OCUnit framework and the UIAutomation framework can allow developers to create unit tests with code coverage, and user interface level testing suites, but they can
From playlist O'Reilly Webcasts
Security Vulnerability Mitigations
Security vulnerabilities allow software to be manipulated in such a way that it misbehaves to the benefit of an attacker - security vulnerability mitigations work to thwart attempts to successfully exploit such a vulnerability. This landscape is continually changing in both the types of at
From playlist Security
Meltdown and Spectre - Professor Mark Handley, UCL
The Meltdown and Spectre vulnerabilities in almost all modern CPUs have received a great deal of publicity in the last week. Operating systems and hypervisors need significant changes to how memory management is performed, CPU firmware needs updating, compilers are being modified to avoid
From playlist Data science classes
Evaluate the trigonometric limit using limit laws
π Learn how to evaluate the limit of a function involving trigonometric expressions. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is usually evaluated by direct
From playlist Evaluate Limits with Trig