I am trying to install ubuntu on my pc but i can't.I can't find what problems are. Booting from dvd and getting to the purple screen and after that installing ubuntu,but it goes to black screen with a cursor blinking and nothing happens. My PC Spec: Mainboard:Foxconn H61AP-S cpu:Intel Celeron G460 ram:Kingmax 4 GBs DDR3 VGA:Nvidia Geforce 210 HDD:1TB Toshiba i have winodws 7 64bit installed on my pc.by the way, i tried many ways.nomodeset, noalpic, acpi=off and others.and also tried installing from USB, But outcome was the same.
I am trying to boot Ubuntu on my computer.  When I boot Ubuntu, it boots to a black screen.  How can I fix this? Table of Contents:
List of chat rooms with host stackoverflow.com is not the same as the actual list of rooms on stackoverflow.com chat itself Generally chat.&lt;site&gt;.com redirects to chat.stackexchange.com/?tab=site&amp;host=&lt;site&gt;.com and go for same thing but here you can check your self:       Both are Different!  If one visits  and select site: StackOverflow, then it outputs  and they miss rooms that are only listed by .  So, why does this happen? Is this a bug?  Note: I found this while  for general chat-room at StackOverflow; see chat-discussion Is Force lightning from the feet plausible? In all the canons of Star Wars, there has not been one instance of a Force-user projecting Force lightning from their feet. Why? Is it implausible? Let $A$ be a $m \times n$ matrix with entries from some field $F$. Define the determinant rank of $A$ to be the largest possible size of a nonzero minor, i.e. the size of the largest invertible square submatrix of $A$. It is true that the determinant rank is equal to the rank of a matrix, which we define to be the dimension of the row/column space.  It's not difficult to see that $\text{rank} \geq \text{determinant rank}$. If some submatrix of $A$ is invertible, then its columns/rows are linearly indepedent, which implies that the corresponding rows/columns of $A$ are also linearly indepedent.  Is there a nice proof for the converse? A normal divided by the $\sqrt{\chi^2(s)/s}$ gives you a t-distribution -- proof let $Z \sim N(0,1)$ and $W \sim \chi^2(s)$.  If $Z$ and $W$ are independently distributed then the variable $Y = \frac{Z}{\sqrt{W/s}}$ follows a $t$ distribution with degrees of freedom $s$.  I am looking for a proof of this fact, a reference is good enough if you do not want to write down the complete argument. Show that every prime $p&gt;3$ is either of the form $6n+1$ or of the form $6n+5$, where $n=0,1,2, \dots$ How are cellphone IP addresses assigned? Navigate folder structure in Open/Save File Dialog with keyboard? Foreign key constraints failures Given the following tables:  CREATE TABLE `longdescs` (   `comment_id` int(11) NOT NULL AUTO_INCREMENT,   `bug_id` mediumint(9) NOT NULL,   `who` mediumint(9) NOT NULL,   `bug_when` datetime NOT NULL,   `work_time` decimal(7,2) NOT NULL DEFAULT '0.00',   `thetext` mediumtext NOT NULL,   `isprivate` tinyint(4) NOT NULL DEFAULT '0',   `already_wrapped` tinyint(4) NOT NULL DEFAULT '0',   `type` smallint(6) NOT NULL DEFAULT '0',   `extra_data` varchar(255) DEFAULT NULL,   PRIMARY KEY (`comment_id`),   KEY `longdescs_bug_id_idx` (`bug_id`),   KEY `longdescs_who_idx` (`who`,`bug_id`),   KEY `longdescs_bug_when_idx` (`bug_when`),   KEY `comment_id` (`comment_id`),   CONSTRAINT `fk_longdescs_bug_id_bugs_bug_id` FOREIGN KEY (`bug_id`) REFERENCES `bugs` (`bug_id`) ON DELETE CASCADE ON UPDATE CASCADE,   CONSTRAINT `fk_longdescs_who_profiles_userid` FOREIGN KEY (`who`) REFERENCES `profiles` (`userid`) ON UPDATE CASCADE ) ENGINE=InnoDB AUTO_INCREMENT=82727 DEFAULT CHARSET=utf8  CREATE TABLE `trace` (   `id` mediumint(9) NOT NULL AUTO_INCREMENT,   `comment_id` mediumint(9) NOT NULL,   `type` varchar(255) NOT NULL,   `short_hash` char(22) DEFAULT NULL,   `stack_hash` char(22) DEFAULT NULL,   `trace_text` mediumtext NOT NULL,   `quality` double NOT NULL,   PRIMARY KEY (`id`),   UNIQUE KEY `trace_comment_id_idx` (`comment_id`),   KEY `trace_short_hash_idx` (`short_hash`),   KEY `trace_stack_hash_idx` (`stack_hash`) ) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8  ALTER TABLE trace ADD CONSTRAINT `fk_trace_comment_id_longdescs_comment_id` FOREIGN KEY (`comment_id`) REFERENCES `longdescs`(`comment_id`) ON UPDATE CASCADE ON DELETE CASCADE; ERROR 1005 (HY000): Can't create table 'bugs4.#sql-4bb_6f1d' (errno: 150)   MariaDB [bugs4]> show warnings;  | Level  | Code | Message | | Warning |  150 | Create table 'bugs4/#sql-4bb_6f1d' with foreign key     constraint failed. There is no index in the referenced table where the referenced columns appear as the first columns.  | | Error   | 1005 | Can't create table 'bugs4.#sql-4bb_6f1d' (errno: 150)                                                                                                                       |   Any idea why I get that error? FYI I looked it up and it appears that it was a bug but not anymore. The Wikipedia page () proves that $$f(x) = \begin{cases}  \exp(-1/x),  &amp; \mbox{if }x&gt;0 \\ 0, &amp; \mbox{if }x\le0 \end{cases}$$ is a non-analytic smooth function. But I don't understand why the fact that "the Taylor series of $f$ at the origin converges everywhere [where does "everywhere" mean here?] to $0$" implies the Taylor series converges to $0$ when $x&gt;0$? Can someone explain this in greater detail? I guess there should be a gap in my understanding of power series. How to construct a relative path in Java from two absolute paths (or URLs)? Given two absolute paths, e.g.  /var/data/stuff/xyz.dat /var/data   How can one create a relative path that uses the second path as its base? In the example above, the result should be: ./stuff/xyz.dat After my suspension period, my reputation was not returned On Stack Overflow, I have a suspension period of 7 days which ends today. But my actual reputation has not been returned to me as one of the moderators said it would. I have a message like this by @Andrew Barber:     Once your suspension period is over, you will be returned to your   correct reputation level, minus the votes from the accounts which have   been deleted. At that time, you are more than welcome to return, and   continue contributing your knowledge, and gaining legitimate   reputation points. Just please keep our rules in mind when you do.      Regards      Andrew Barber, Stack Overflow moderator   Can any moderator here help me or tell me what the rules are of getting back my reputation?  How can I get the attention of a moderator so that they can resolve my problem? Due to my ignorance, I find that most of the references for mathematical analysis (real analysis or advanced calculus) I have read do not talk much about the "multivariate calculus". After dealing with the single variable calculus theoretically, it usually directly goes to the topic of measure theory.    After reading the wiki article "", I'd like to find the rigorous proof for this test. The first book comes to my mind is Courant's Introduction to Calculus and Analysis which includes the multivariate case in the second volume.   Motivated by this, I'd like to put the question here:     What are the usual references for the   theoretical treatment for   ? Is the function $\mbox{tr}(XAX')$ convex? Is the function $\mbox{tr}(XAX')$ convex, where $A$ is a positive semidefinite (PSD) matrix? I know that for a general $A$, the above trace function is not convex. But for a PSD $A$, is the function convex? According to general relativity, inertial mass and gravitational mass are the same, and all accelerated reference frames (such as a uniformly rotating reference frame with its proper time dilation) are physically equivalent to a gravitational field of the same strength.  Refer: Einstein's thought experiment of a Physicist in an Accelerated Box.  I find that the 'How' part of this question is somewhat easy to understand Mathematically but hard to visualize physically and on the 'Why' part I am totally blank. $e^{i\theta}=\cos\theta + i\sin \theta$  $e^{i\sin^{-1}x}=\cos(\sin^{-1}x)+i\sin(\sin^{-1}x)$  $i\sin^{-1}x=\ln|\sqrt{1-x^2} + ix|$  $\sin^{-1}x=-i\ln|\sqrt{1-x^2} + ix|$  Now from here I'm kind of lost, since it seems like this should be the definition, but when I look it up, the definition of inverse hyperbolic sine is:  $\sinh^{-1}x=\ln(\sqrt{1+x^2} + x)$  So although they're very similar, I guess I just don't know how to handle the logarithm and anything to the ith power or drop off the absolute value. Split a commit into smaller commits with Git? How can window snap be enabled in Openbox? I would like to have window snap behaviour in Openbox. For me, this would mean that dragging a window to the edge of the display using the mouse would change the size of the window such that it is docked in half or quarter of the display, as can be done in Unity7. How can this be done in Openbox? Let $V$ be an n-dimensional vector space over $\mathbb{R}$ and $T:V \rightarrow V$ be linear. Call a vector $v \in V$ cyclic if $V$ is spanned by $\{v, \ Tv, \ T^2v,..\}$.  Question:  Show that $v$ is cyclic for $T$ then there is some $k \geq 1$ such that   $$B=\{v, \ Tv,..T^{k-1}v \}$$ is linearly independent in $V$ and that $T^kv$ lies in  the span of $B$.  Thoughts:  If we suppose that no such $k$ exists, then every subset of the form $\{v, \ Tv,..T^{l-1}v \}$ is linearly dependent, or it is linearly dependent with $T^lv$ not lying in it span.  There are in effect then two cases to consider.  Suppose every subset of the form $\{v, \ Tv,..T^{l-1}v \}$ is linearly dependent. Then $T^{l-1}$ can be expressed as a linear combination of $v,...,T^{l-2}v$. Now, $\{v, \ Tv,..T^{l-2}v \}$ is also linearly dependent by assumption and so we can express $T^{l-2}$ as a linear combination of  $v,...,T^{l-3}v$ etc... Continuing in this way, we show that $T^{l-1}v= \lambda v$ for some $\lambda \in \mathbb{R}$. Thus $$B=\{ \mu v \ | \ \mu \ \text{is an eigenvalue of} \ T^mv \ \text{for some} \ m \}$$ This is 'at best' countably infinite, and therefore could not span $V$ even if it were 1-dimensional, wince our base field is $\mathbb{R}$, which is uncountable.  Suppose then that $B$ is linearly independent for some $k$ but that $T^kv$ does not lie in its span. I can't see how to progress this argument.  Note: This question is for second year Undergraduates, and I think there must be some more simple approach; even the first part surprises me if we need to argue using the uncountability of $\mathbb{R}$, so any alternative approaches are also appreciated. Gray cone obscuring/clipping the 3D Viewport When looking at my objects in 3d view I'm seeing a gray cone that seems to be hiding other objects.   Can anyone help me turn this off and explain what it is please.  Screenshots attached. Formula for calculating $\sum_{n=0}^{m}nr^n$ I want to know the general formula for $\sum_{n=0}^{m}nr^n$ for some constant r and how it is derived.  For example, when r = 2, the formula is given by: $\sum_{n=0}^{m}n2^n = 2(m2^m - 2^m +1)$ according to   Thanks!