A straight line is the shortest distance between two points. It can be defined using different forms of equations like slope-intercept, two point, and normal forms. The slope of a line is calculated as the tangent of the angle between the line and the x-axis. Parallel lines have equal slopes, while perpendicular lines have slopes that multiply to -1. A line's equation can be found using various properties like slope, two points on the line, or intercepts with the axes.
straight line Demonstration Dharmendra Meena (1).pptxRahulJat37
Straight-line depreciation is the simplest method for calculating depreciation over time. Under this method, the same amount of depreciation is deducted from the value of an asset for every year of its useful life.
straight line Demonstration Dharmendra Meena (1).pptxRahulJat37
Straight-line depreciation is the simplest method for calculating depreciation over time. Under this method, the same amount of depreciation is deducted from the value of an asset for every year of its useful life.
Mathematics (from Greek μάθημα máthēma, “knowledge, study, learning”) is the study of topics such as quantity (numbers), structure, space, and change. There is a range of views among mathematicians and philosophers as to the exact scope and definition of mathematics
Slope of A line Slope of A line Slope of A line Slope of A line Slope of A line Slope of A line Slope of A line Slope of A lineSlope of A line Slope of A line Slope of A line
Mathematics (from Greek μάθημα máthēma, “knowledge, study, learning”) is the study of topics such as quantity (numbers), structure, space, and change. There is a range of views among mathematicians and philosophers as to the exact scope and definition of mathematics
Mathematics (from Greek μάθημα máthēma, “knowledge, study, learning”) is the study of topics such as quantity (numbers), structure, space, and change. There is a range of views among mathematicians and philosophers as to the exact scope and definition of mathematics
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
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Similar to Straight_Lines in mat 111 full lecture.ppt
Mathematics (from Greek μάθημα máthēma, “knowledge, study, learning”) is the study of topics such as quantity (numbers), structure, space, and change. There is a range of views among mathematicians and philosophers as to the exact scope and definition of mathematics
Slope of A line Slope of A line Slope of A line Slope of A line Slope of A line Slope of A line Slope of A line Slope of A lineSlope of A line Slope of A line Slope of A line
Mathematics (from Greek μάθημα máthēma, “knowledge, study, learning”) is the study of topics such as quantity (numbers), structure, space, and change. There is a range of views among mathematicians and philosophers as to the exact scope and definition of mathematics
Mathematics (from Greek μάθημα máthēma, “knowledge, study, learning”) is the study of topics such as quantity (numbers), structure, space, and change. There is a range of views among mathematicians and philosophers as to the exact scope and definition of mathematics
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
2. • Equation of the x-axis is y=0
• Equation of the y-axis is x=0
• The equation of a line parallel to y axis at a distance
‘a’ from x axis is x=a
• The equation of a line parallel to x axis at a distance
‘b’ from y axis is y=b
3. SLOPE(Gradient)
• The slope of the line is the tangent of the
angle made by the line with positive direction
of X – axis measured in the anticlockwise
direction.
• slope = m = tan
5. • The slope of any line parallel to X axis is zero.
• Slope of any line parallel to Y axis is infinity
• The slope of the line joining two points (x1,y1)
and (x2,y2) is
m = tan =
1
2
1
2
x
x
y
y
6. • When two or more lines are parallel then their
slopes are equal
• When two lines are perpendicular then the
product of their slopes is –1
i.e., m1m2 = -1
7. Different Forms of Equation of Straight
Line
• Slope-Intercept form
• Slope –One point form
• Two Points form
• Intercept form
• Normal form
• Parametric form.
9. • Any line passing through the origin does not
cut y – axis (c = 0) i.e., y – intercept is zero.
Therefore its equation is y = mx
• Any line which is parallel to x – axis has slope
equal to zero. (Because m = 0)
Therefore its equation is y = c
10. Example:
1. Find the equation of a straight line whose
(i) Slope is four and y intercept is –3
(ii) Inclination is 300 and y intercept is 5
17. Example
Find the intercepts cut off by the line
2x – 3y + 5 = 0 on the axes.
Ans: The x – intercept =
The y – intercept=
2
5
3
5
18. Note
General equation of a straight line as
ax + by + c = 0
by = - ax – c
i.e. y =
Now, comparing this with the equation y = mx + c,
we get
slope = m = =
b
c
b
ax
b
a
y
of
t
coefficien
x
of
t
coefficien
22. Example
Determine the equation of a line passes through
the point (–1, – 2) and makes an angle of 30o
with the positive direction of x-axis, in
parametric form. Find the coordinates of a
point at distance of 2 units.
Answer:
The coordinates of the point are
25. Family of Straight lines
• Intersection of two straight lines
The point of intersection of two straight
lines is obtained by solving their equations.
26. • Concurrent lines
Three or more straight lines are said to be
concurrent when they all pass through the
same point. That point is known as point of
concurrency.
31. Angle Bisector
• The angle bisector has equal perpendicular
distance from two lines.
32. Example
Find the equations of the bisectors of the angles
between the straight lines 3x + 4y + 3 = 0 and
4x+ 3y +1 = 0.
Answer : x-y-2=0 and 7x+7y+4=0
33. Algorithm to find the bisectors of acute
and obtuse angles between two lines
• Let the equations of the two lines be
a1x + b1y + c1 = 0 and
a2x + b2y + c2= 0.
To find the bisectors of the obtuse and acute angles
between the lines we proceed as follows:
• Step I: First check whether the constant terms
c1and c2 in the two equations are positive or not.
Suppose not, then multiply both the sides of the
given equations by -1 to make the constant terms
positive.
34. • Step II: Determine the symbols of the
expression a1a2 + b1b2
• Step III:
• If a1a2 + b1b2> 0, then the bisector
corresponding to “ + “ symbol gives the
obtuse angle bisector and the bisector
corresponding to “ - “ is the bisector of the
acute angle between the lines .
35. • If a1a2 + b1b2< 0, then the bisector
corresponding to “ + “ and “ - “ symbol give
the acute and obtuse angle bisectors
respectively.
36. Example
Find the equation of the acute angle bisector of
lines 4x - 3y + 10 = 0 and -6x + 8y - 5 = 0.
Answer: 2x+2y+15=0