حاسبة المشتقة العددية

The first or second derivative of any function f(x) at a point, to about 20 significant digits by Richardson extrapolation, with the tangent line drawn.

آخر تحديث 28 سبتمبر 2026أمثلة تم التحقق منها: 6

المشتقة

الحد الأقصى للمنازل العشرية: 12؛ إلى الأقرب، وعند التعادل بعيدًا عن الصفر

f(x₀): 0.841470984808
Tangent line: y = 2.223244x − 1.381773
Estimated error: 9.6 × 10⁻²³

At x = 1 the slope of f is 2.2232443: near that point, f rises by about 2.223 × h when x moves by a small step h.

f and its tangent at x = 1

f(x)Tangent line

Richardson table (central quotient and best estimate) الصفوف: 6

h	Difference quotient	Best estimate so far
0.1	2.21933054438	2.21933054438
0.05	2.22226613145	2.22324466047
0.025	2.22299975754	2.22324427552
0.0125	2.22318314713	2.22324427548
0.00625	2.22322899347	2.22324427548
0.003125	2.22324045498	2.22324427548

طريقة الحساب S

Central difference quotient
$D(h) = \frac{f(x_0 + h) - f(x_0 - h)}{2h},\qquad D(0.1) = 2.21933054438038$
Its error has only even powers of h, which Richardson extrapolation removes one at a time.
Richardson extrapolation
$T_{i,j} = \frac{4^{j}\,T_{i,j-1} - T_{i-1,j-1}}{4^{j} - 1},\quad h_i = \frac{h_0}{2^{i}} \;\Rightarrow\; f'(1) \approx 2.223244275483932730705941$
Halved h 5 times from h₀ = 0.1; the estimated error is 9.6 × 10⁻²³.
Both sides agree
$\text{left } 2.22324427548393,\quad \text{right } 2.22324427548393$
One-sided quotients from each side converge to the same value, so f is smooth enough here for the derivative to exist.
Tangent line
$y = f(x_0) + f'(x_0)(x - x_0) = 0.841470984807897 + 2.22324427548393\,(x - 1)$
y = 2.223244x − 1.381773

حول حاسبة المشتقة العددية

The derivative f′(x₀) is the slope of f at x₀, the limit of the central difference quotient [f(x₀ + h) − f(x₀ − h)]/2h as h shrinks to 0. The calculator evaluates that quotient for h = 0.1 × max(1, |x₀|) and repeated halvings, then combines the results by Richardson extrapolation (Ridders' method, Numerical Recipes §5.7), which cancels the h², h⁴, … error terms one at a time and reaches about 20 significant digits. The second derivative uses [f(x₀ + h) − 2f(x₀) + f(x₀ − h)]/h² the same way.

Use it to check a derivative worked out by hand, to find a rate of change where no formula is convenient, or to get a tangent line. The default, x² sin x at x = 1, has derivative 2 sin 1 + cos 1 ≈ 2.2232443 and tangent line y = 2.223244x − 1.381773.

Trig functions use radians. When the slopes from the left and right disagree, f has a corner there and the calculator reports that instead of a number.

أمثلة محلولة

d/dx x³ at x = 2

Function f(x): x^3
At x =: 2
المشتقة: First f′(x)

المشتقة: 12
f(x₀): 8
Tangent line: y = 12x − 16

مصدر التحقق: ⁨3x² = 12 at x = 2; tangent 8 + 12(x − 2)⁩

d/dx sin x at 0 (radians)

Function f(x): sin(x)
At x =: 0
المشتقة: First f′(x)

المشتقة: 1

مصدر التحقق: ⁨cos 0 = 1⁩

d/dx x²·sin x at 1

Function f(x): x^2 * sin(x)
At x =: 1
المشتقة: First f′(x)

المشتقة: 2.223244275484

مصدر التحقق: ⁨2 sin 1 + cos 1 with sin/cos by Taylor series in Python decimal at 70 digits (hp.py)⁩

d/dx eˣ at 1

Function f(x): exp(x)
At x =: 1
المشتقة: First f′(x)

المشتقة: 2.718281828459

مصدر التحقق: ⁨e (Python Decimal(1).exp())⁩

الأسئلة

What is a derivative?

The derivative of f at x₀ is the slope of its graph there: the limit of [f(x₀ + h) − f(x₀)]/h as h approaches 0. For f(x) = x³ at x = 2 the slope is 3 × 2² = 12, so near x = 2 the function rises about 12 units for each unit of x. The line y = 12x − 16, which touches the curve at (2, 8), is the tangent there.

How do you find a derivative numerically?

Evaluate a difference quotient with a small step h. The central quotient [f(x + h) − f(x − h)]/2h beats the one-sided [f(x + h) − f(x)]/h because its error shrinks like h² rather than h: for sin x at 0 with h = 0.1 it gives 0.998334 against the exact 1. A tiny h eventually fails through rounding error, so this calculator extrapolates from moderate steps instead.

What does the second derivative tell you?

The second derivative f″(x) is the rate of change of the slope, so it measures curvature: positive where the graph bends upward, negative where it bends downward. For ln x, f″(x) = −1/x², so f″(2) = −0.25. Numerically it comes from [f(x + h) − 2f(x) + f(x − h)]/h². Where f″ changes sign the graph has an inflection point.

How do you find the equation of a tangent line?

Use y = f(x₀) + f′(x₀)(x − x₀). For f(x) = x³ at x₀ = 2, f(2) = 8 and f′(2) = 12, so y = 8 + 12(x − 2) = 12x − 16. The tangent is also the best straight-line approximation to f near x₀: it estimates 2.1³ as 8 + 12 × 0.1 = 9.2, against the exact 9.261.

Why does a function have no derivative at some points?

The slopes from the left and the right must agree. |x| at 0 has slope −1 from the left and +1 from the right, a corner, so it has no derivative there, even though the central quotient averages to 0. A jump, or a vertical tangent such as the cube root of x at 0, also rules one out. The calculator compares one-sided quotients and reports the corner.

ما مدى دقة «⁨حاسبة المشتقة العددية⁩»؟

تعتمد الدقة على مدخلاتك وافتراضات الطريقة. يستخدم الحساب العشري 50 رقمًا معنويًا، لكن التقديرات والأساليب العددية وبيانات المصدر قد تكون أقل دقة؛ تقريب القيم المعروضة لا يزيل هذه الحدود. أمثلة محلولة جرى التحقق منها بمصادر مستقلة: 6. مثلًا، يجري التحقق من «⁨d/dx x³ at x = 2⁩» بالرجوع إلى ⁨3x² = 12 at x = 2; tangent 8 + 12(x − 2)⁩.

ما مصدر هذه الطريقة؟

Press et al., Numerical Recipes (3rd ed.) §5.7 — numerical derivatives (Ridders' method); Wolfram MathWorld — Richardson Extrapolation.

حول هذه الحاسبة

\begin{gathered} f'(x) = \lim_{h \to 0}\frac{f(x+h) - f(x-h)}{2h} \\[10pt] f''(x) = \lim_{h \to 0}\frac{\delta^2 f}{h^2} \\[4pt] \delta^2 f = f(x+h) - 2f(x) + f(x-h) \end{gathered}

المصادر

Press et al., Numerical Recipes (3rd ed.) §5.7 — numerical derivatives (Ridders' method)
Wolfram MathWorld — Richardson Extrapolation

تم التحقق بالرجوع إلى المصادر

تتضمن هذه الحاسبة أمثلة محلولة بإجابات من مصادر مستقلة، وعددها 6. تُشغّل ضمن مجموعة الاختبارات، ويمكنك تشغيلها هنا أيضًا.

f and its tangent at x = 1

Central difference quotient

Richardson extrapolation

Both sides agree

Tangent line