1) The document discusses the tangent line problem, one of the major problems that led to the development of calculus. It involves finding the slope of a tangent line to a curve at a point.
2) The derivative of a function f(x) is defined as the limit of the difference quotient as Δx approaches 0. This limit used to define the slope of a tangent line also defines the fundamental operation of differentiation in calculus.
3) A function is not differentiable at a point where its graph has a sharp turn, vertical tangent, or discontinuity, since the one-sided limits at that point would not be equal.
How to find the roots of Nonlinear Equations?
Newton-Raphson method is not the only way!
How about a system of nonlinear equations?
#WikiCourses
https://wikicourses.wikispaces.com/Topic+Roots+of+Nonlinear+Equations
How to find the roots of Nonlinear Equations?
Newton-Raphson method is not the only way!
How about a system of nonlinear equations?
#WikiCourses
https://wikicourses.wikispaces.com/Topic+Roots+of+Nonlinear+Equations
Continuity, Removable Discontinuity, Essential Discontinuity. These slides accompany my lectures in differential calculus with BSIE and GenENG students of LPU Batangas
Basic Calculus 11 - Derivatives and Differentiation RulesJuan Miguel Palero
It is a powerpoint presentation that discusses about the lesson or topic of Derivatives and Differentiation Rules. It also encompasses some formulas, definitions and examples regarding the said topic.
The goal of this course is to introduce students to ideas and techniques from discrete mathematics that are widely used in computer science. Ultimately, students are expected to understand and use (abstract) discrete structures that are the backbones of computer science. In particular, this class is meant to introduce logic, proofs, sets, functions, relations, counting, graphs and trees and with an emphasis on applications in computer science.
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Continuity, Removable Discontinuity, Essential Discontinuity. These slides accompany my lectures in differential calculus with BSIE and GenENG students of LPU Batangas
Basic Calculus 11 - Derivatives and Differentiation RulesJuan Miguel Palero
It is a powerpoint presentation that discusses about the lesson or topic of Derivatives and Differentiation Rules. It also encompasses some formulas, definitions and examples regarding the said topic.
The goal of this course is to introduce students to ideas and techniques from discrete mathematics that are widely used in computer science. Ultimately, students are expected to understand and use (abstract) discrete structures that are the backbones of computer science. In particular, this class is meant to introduce logic, proofs, sets, functions, relations, counting, graphs and trees and with an emphasis on applications in computer science.
Hoàn thiện kế toán tập hợp chi phí sản xuất và tính giá thành sản phẩm tại cô...NOT
Garment Space: Giá 10k/5 lượt download Liên hệ page để mua: https://www.facebook.com/garmentspace Xin chào, Nếu bạn cần mua tài liệu xin vui lòng liên hệ facebook: https://www.facebook.com/garmentspace Tại sao tài liệu lại có phí ??? Tài liệu một phần do mình bỏ thời gian sưu tầm trên Internet, một số do mình bỏ tiền mua từ các website bán tài liệu, với chi phí chỉ 10k cho 5 lượt download tài liệu bất kỳ bạn sẽ không tìm ra nơi nào cung cấp tài liệu với mức phí như thế, xin hãy ủng hộ Garment Space nhé, đừng ném đá. Xin cảm ơn rất nhiều
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Để xem full tài liệu Xin vui long liên hệ page để được hỗ trợ
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https://www.facebook.com/thuvienluanvan01
HOẶC
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tai lieu tong hop, thu vien luan van, luan van tong hop, do an chuyen nganh
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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1. I’m going nuts
over derivatives!!!
2.1
The Derivative and the
Tangent Line Problem
2. Calculus grew out of 4 major problems that
European mathematicians were working on
in the seventeenth century.
1. The tangent line problem
2. The velocity and acceleration problem
3. The minimum and maximum problem
4. The area problem
3. The tangent line problem
(c, f(c))
secant line
f(c+ ) – f(c)x(c, f(c)) is the point of tangency and
is a second point on the graph of f.
)()( cfxcf −+ ∆
x∆
( ))(, xcfxc ∆+∆+
4. The slope between these two points is
cxc
cfxcf
m
−+
−+
=
∆
∆ )()(
sec
x
cfxcf
∆
∆ )()( −+
=
Definition of Tangent Line with Slope m
m
x
cfxcf
x
=
−+
→ ∆
∆
∆
)()(
lim
0
5. Find the slope of the graph of f(x) = x2
+1 at
the point (-1,2). Then, find the equation of the
tangent line.
(-1,2)
6. x
xfxxf
x ∆
−∆+
→∆
)()(
lim
0
( )
x
xxx
x ∆
∆
∆
11)(
lim
22
0
+−++
=
→
( )
x
xxxxx
x ∆
∆∆
∆
112
lim
222
0
−−+++
=
→
x
xxx
x ∆
∆∆
∆
)2(
lim
0
+
=
→
x2=
Therefore, the slope
at any point (x, f(x))
is given by m = 2x
What is the slope
at the point (-1,2)?
m = -2
The equation of the tangent line is y – 2 = -2(x + 1)
f(x) = x2
+ 1
7. The limit used to define the slope of a tangent
line is also used to define one of the two funda-
mental operations of calculus --- differentiation
Definition of the Derivative of a Function
x
xfxxf
xf
x ∆
∆
∆
)()(
lim)('
0
−+
=
→
f’(x) is read “f prime of x”
Other notations besides f’(x) include:
][)],([,', yDxf
dx
d
y
dx
dy
x
8. Find f’(x) for f(x) = and use the result to find
the slope of the graph of f at the points (1,1) &
(4,2). What happens at the point (0,0)?
,x
x
xfxxf
xf
x ∆
∆
∆
)()(
lim)('
0
−+
=
→
x
xxx
xf
x ∆
∆
∆
−+
=
→0
lim)('
++
++
⋅
xxx
xxx
∆
∆
( )xxxx
xxx
x ++
−+
=
→ ∆∆
∆
∆
)(
lim
0 ( )xxxx
xxx
x ++
−+
=
→ ∆∆
∆
∆ 0
lim
1
( )xxxx ++
=
→ ∆∆
1
lim
0 x2
1
=
9. x
mxf
2
1
)(' ==
Therefore, at the point (1,1), the
slope is ½, and at the point (4,2),
the slope is ¼.
What happens at the point (0,0)?
The slope is undefined, since it produces division
by zero.
2
1
=m
4
1
=m
1 2 3 4
10. Find the derivative with respect to t for the
function .
2
t
y =
t
tfttf
dx
dy
t ∆
∆
∆
)()(
lim
0
−+
=
→
t
ttt
t ∆
∆
∆
22
lim
0
−
+=
→
1
)(
)(22
lim
0 t
ttt
ttt
t ∆
∆
∆
∆
+
+−
=
→
tttt
ttt
t ∆∆
∆
∆
1
)(
222
lim
0
⋅
+
−−
=
→
2
2
t
−=
11. Theorem 3.1 Alternate Form of the Derivative
The derivative of f at x = c is given by
cx
cfxf
cf
cx −
−
=
→
)()(
lim)('
(c, f(c))
)()( cfxf −
cxx −=∆
c x
(x, f(x))
12. Derivative from the left and from the right.
cx
cfxf
cx −
−
−
→
)()(
lim
cx
cfxf
cx −
−
+
→
)()(
lim
Example of a point that is not differentiable.
2)( −= xxf is continuous at x = 2 but let’s
look at it’s one sided limits.
=
−
−
−
→ 2
)2()(
lim
2 x
fxf
x
=
−
−−
−
→ 2
02
lim
2 x
x
x
-1
=
−
−
+
→ 2
)2()(
lim
2 x
fxf
x
=
−
−−
+
→ 2
02
lim
2 x
x
x
1
13. The 1-sided limits are not equal.
∴, x is not differentiable at x = 2. Also, the
graph of f does not have a tangent line at the
point (2, 0).
A function is not differentiable at a point at
which its graph has a sharp turn or a vertical
tangent line(y = x1/3
or y = absolute value of x).
Differentiability can also be destroyed by
a discontinuity ( y = the greatest integer of x).