Applications of integration
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The document discusses different methods for approximating the area under a curve, including the MRAM method which both overestimates and underestimates to cancel out errors, rectangular approximation which uses rectangles of different widths, and using integrals to find the exact area between bounds or between two curves by subtracting one integral from the other.
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Applications of integration
The document discusses different methods for approximating the area under a curve, including the most accurate RAM method (MRAM), rectangular approximation using rectangles of different widths, and using integrals to find the exact area. It also addresses finding the area between two curves by taking the integral of the top curve and subtracting the integral of the bottom curve.
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The document discusses two numerical integration methods for approximating the area under a curve:
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2) Simpson's rule assumes the boundary is composed of parabolic arcs rather than straight lines, making it more accurate. It is applied to the same example and estimates the area as 584 square meters.
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Applications of integration
The document discusses different methods for approximating the area under a curve, including the most accurate RAM method (MRAM), rectangular approximation using rectangles of different widths, and using integrals to find the exact area. It also addresses finding the area between two curves by taking the integral of the top curve and subtracting the integral of the bottom curve.
Prism
A prism is a refracting medium with two plane surfaces that are inclined at an apical angle. The greater the apical angle, the stronger the prismatic effect. Prisms are used diagnostically to objectively measure deviations and fusional reserves, and therapeutically to relieve diplopia by decompensating phorias and small tropias. They produce virtual, erect images that are displaced towards the apex away from the base. Prism power is measured in diopters, with one diopter producing one centimeter of displacement per meter.
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The document discusses two numerical integration methods for approximating the area under a curve:
1) The trapezoidal rule approximates the area as a sum of trapezoidal areas under strips of equal width. It is applied to an example where it estimates the area as 625 square meters.
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Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
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Applications of integration
- 1. THE APCALC FLASH CARDS: CREATED BY GREG PRODUCED BY DAN PRESENTED BY BEN
- 2. THE MOST ACCURATE RAM METHOD IS:
- 3. MRAM BECAUSE IT BOTH OVERESTIMATES AND UNDERESTIMATES THE AREA BENEATH A CURVE, WHICH MOSTLY CANCEL OUT.
- 5. THE USE OF RECTANGLES UNDER A FUNCTION TO APPROXIMATE THE AREA BENEATH THE CURVE
- 8. THE X AXIS AREA METHOD
- 9. USE THE INTEGRAL WITH DEFINED BOUNDRIES AND SOLVE. THIS WILL GIVE YOU THE EXACT AREA BENEATH THE GRAPH
- 10. AREA BETWEEN TWO CURVES (X AXIS):
- 11. FIND THE POINTS OF INTERSECTION. USE THE INTEGRAL OF THE TOP GRAPH AND SUBTRACT THE INTEGRAL OF THE BOTTOB GRAPH TO FIND EXACT AREA BETWEEN BOTH FUNCTIONS.