differentiation

Derivative of a conjugate in sympy

青春壹個敷衍的年華 提交于 2019-12-06 10:22:18
When I try to differentiate a symbol with SymPy I get the following In : x=Symbol('x') In : diff(x,x) Out: 1 When I differentiate the symbol respect to its conjugate the result is In [55]: diff(x,x.conjugate()) Out[55]: 0 However, when I try to differentiate the conjugate of the symbol SymPy doesn't do it In : diff(x.conjugate(),x) Out: Derivative(conjugate(x), x) This is still correct, but the result should be zero. How can I make SimPy perform the derivative of a conjugate? I'm not sure about the mathematics if diff(conjugate(x), x) should be zero. The fact that diff(x,x.conjugate()) gives

Maxima - differentiating a piecewise function

醉酒当歌 提交于 2019-12-06 05:56:30
Suppose you have a function defined by intervals, such as f(x):=block(if x<0 then x^2 else x^3); When we differentiate it with diff(f(x),x); we get d/dx (if x<0 then x^2 else x^3) whereas I'd like to get (if x<0 then 2*x else 3*x^2) Is there a way to obtain such result? This may help in a simple case: (%i1) f(x):= charfun(x<0)*x^2 + charfun(x>=0)*x^3$ (%i2) gradef(charfun(y), 0)$ (%i3) diff(f(x),x); 2 (%o3) 2 x charfun(x < 0) + 3 x charfun(x >= 0) charfun , gradef You can try also Pw.mac package from Richard Hennessy. Here's a different approach using a simplification rule for "if" expressions

What is the Difference between Selenium Webdriver and Selenium Ghostdriver? [closed]

扶醉桌前 提交于 2019-12-05 18:10:20
问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 4 years ago . I want to know difference between Selenium Webdriver and Selenium Ghostdriver. I am also confused as to why selenium Ghostdriver is used? Please give me a brief idea. Thanks in Advance. 回答1: Selenium WebDriver is made up of core Java API and it is also known as Selenium 2 Ghost

What is the Difference between Selenium Webdriver and Selenium Ghostdriver? [closed]

|▌冷眼眸甩不掉的悲伤 提交于 2019-12-04 03:23:08
Closed . This question needs to be more focused. It is not currently accepting answers. Learn more . Want to improve this question? Update the question so it focuses on one problem only by editing this post . Closed 4 years ago . I want to know difference between Selenium Webdriver and Selenium Ghostdriver. I am also confused as to why selenium Ghostdriver is used? Please give me a brief idea. Thanks in Advance. Selenium WebDriver is made up of core Java API and it is also known as Selenium 2 Ghost Driver is a pure JavaScript implementation of the WebDriver Wire Protocol for PhantomJS. It's a

Multi-touch detecting & differentiating - Cocos2d for iPhone

烈酒焚心 提交于 2019-12-03 10:04:01
I would like to know how to detect and differentiate between touches in a multi-touch view. I have read about a "hash" code, but I don't understand how to use it. I want to know when two of my Sprites are touched at the same time, like as if pressing a chord on two keys of a piano. [EDIT] Here is an example of what I have for my ccTouchesBegan: - (void) ccTouchesBegan:(NSSet*)touches withEvent:(UIEvent*)event { NSSet *allTouches = [event allTouches]; int validTouchCount = 0; for (UITouch* touch in allTouches) { BOOL touchIsValid = FALSE; CGPoint location = [touch locationInView: [touch view]];

What's the best way to calculate a numerical derivative in MATLAB?

本秂侑毒 提交于 2019-12-03 08:50:34
问题 (Note: This is intended to be a community Wiki.) Suppose I have a set of points xi = { x0 , x1 , x2 ,... xn } and corresponding function values fi = f(xi) = { f0 , f1 , f2 ,..., fn }, where f ( x ) is, in general, an unknown function. (In some situations, we might know f ( x ) ahead of time, but we want to do this generally, since we often don't know f ( x ) in advance.) What's a good way to approximate the derivative of f ( x ) at each point xi ? That is, how can I estimate values of dfi ==

Java - Computation of Derivations with Apache Commons Mathematic Library

≡放荡痞女 提交于 2019-11-30 10:33:53
I have a problem in using the apache commons math library. I just want to create functions like f(x) = 4x^2 + 2x and I want to compute the derivative of this function --> f'(x) = 8x + 2 I read the article about Differentiation ( http://commons.apache.org/proper/commons-math/userguide/analysis.html , section 4.7). There is an example which I don't understand: int params = 1; int order = 3; double xRealValue = 2.5; DerivativeStructure x = new DerivativeStructure(params, order, 0, xRealValue); DerivativeStructure y = f(x); //COMPILE ERROR System.out.println("y = " + y.getValue(); System.out

Java - Computation of Derivations with Apache Commons Mathematic Library

做~自己de王妃 提交于 2019-11-29 15:50:06
问题 I have a problem in using the apache commons math library. I just want to create functions like f(x) = 4x^2 + 2x and I want to compute the derivative of this function --> f'(x) = 8x + 2 I read the article about Differentiation (http://commons.apache.org/proper/commons-math/userguide/analysis.html, section 4.7). There is an example which I don't understand: int params = 1; int order = 3; double xRealValue = 2.5; DerivativeStructure x = new DerivativeStructure(params, order, 0, xRealValue);

Differential Operator usable in Matrix form, in Python module Sympy

倖福魔咒の 提交于 2019-11-29 11:07:26
We need two matrices of differential operators [B] and [C] such as: B = sympy.Matrix([[ D(x), D(y) ], [ D(y), D(x) ]]) C = sympy.Matrix([[ D(x), D(y) ]]) ans = B * sympy.Matrix([[x*y**2], [x**2*y]]) print ans [x**2 + y**2] [ 4*x*y] ans2 = ans * C print ans2 [2*x, 2*y] [4*y, 4*x] This could also be applied to calculate the curl of a vector field like: culr = sympy.Matrix([[ D(x), D(y), D(z) ]]) field = sympy.Matrix([[ x**2*y, x*y*z, -x**2*y**2 ]]) To solve this using Sympy the following Python class had to be created: import sympy class D( sympy.Derivative ): def __init__( self, var ): super( D

Avoid sorting args in Python module Sympy

≯℡__Kan透↙ 提交于 2019-11-28 09:15:29
问题 I am currently developing a differential operator for sympy that can be placed in matricial form. In this case the order of the args list when creating a Mul object is very important to guarantee that the differentiation is performed where it is required only. The issue is that, when the following is done: input = (t,z,x) Mul(*input).args It returns (t, x, z) because some rearrangement in args took place. How to avoid args to be sorted? 回答1: Why is the arg ordering important for it to be