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Properties of rational functions

Hi everyone. It is well known that a polynomial of degree $n$ is completely determined by $n+1$ points. Now, is there any similar result for rational functions?
Hebert's user avatar
  • 105
5 votes
2 answers
2k views

Evaluating elliptic integrals

I am interested in evaluating some elliptic integrals, and I have not been able to secure a reference to do exactly what I need. Most of the references I've found seem to focus on reducing more ...
Stanley Yao Xiao's user avatar
5 votes
3 answers
2k views

Square root algorithm

I would like an efficient algorithm for square root of a positive integer. Is there a reference that compares various square root algorithms?
Richard Warren's user avatar
5 votes
5 answers
9k views

Characterizing convex polynomials

Let $p=\sum_{i=0}^{n}a_ix^i$. Under what conditions on the coefficients $a_i$ is $p$ convex? Strictly convex?
Leo's user avatar
  • 51
5 votes
5 answers
3k views

best approximation to the LambertW(x) or exp(LambertW(x))

what is the best available approximation ( say up to 10 digits ) for LambertW(x) or exp(LambertW(x)) for x > 2000
Truth Seeker's user avatar
5 votes
2 answers
352 views

Locating the maximum point $x_n$ of $f_n(x):=e^{-1/x}\Bigl(1+\frac{1}{n^2 x^n} \Bigr)$ in $(0,1)$

I am trying to observe the behavior of $x_n \in (0,1)$ defined such that the function \begin{equation} f_n(x):=e^{-1/x}\Bigl(1+\frac{1}{n^2 x^n} \Bigr) \end{equation} attains its maximum inside the ...
Isaac's user avatar
  • 3,477
5 votes
3 answers
2k views

Automatic vs numerical differentiation of a function known from samples

Suppose I have $n$ samples $(x_i, f(x_i))_{i=1}^n$ from an unknown function $f$. I need to approximate (estimate) the derivative $f'(x^*)$ at some new test point $x^*$, that is not necessarily one of ...
JohnA's user avatar
  • 710
5 votes
2 answers
691 views

What is state of the art for the Shooting Method?

I am interested in examples where the Shooting Method has been used to find solutions to systems of ordinary differential equations that are either reasonably large systems, or the search algorithm ...
Q.Q.J.'s user avatar
  • 2,123
5 votes
2 answers
301 views

Euler–Maclaurin formula in $\mathbb{Z}^d$

I was wondering whether there is a Euler–Maclaurin formula of sorts for expressions such as $$ \sum_{x \in [a,b]^d\cap \mathbb{Z}^d} f(x) - \int_{[a,b]^d}f(x) $$ where $d\ge 2$ is an integer, $a,b \...
Kernel's user avatar
  • 446
5 votes
3 answers
1k views

Chudnovsky formula vs. Machin type formulae for calculating $\pi$

In honor of recent $\pi$ Day, I found myself drawn into thinking about how modern calculation of $\pi$ is done. Both the approach via Machin-like formulae and the approach via the Chudnovsky formula ...
Sridhar Ramesh's user avatar
5 votes
1 answer
569 views

Existence of solutions to a nonlinear algebraic equation

How can we prove that equation (1) has solutions for every $p$. I mean, is there an analytic method that can be used to show that there exist solutions for every $p$ for this nonlinear equation: ...
Amin235's user avatar
  • 313
5 votes
2 answers
919 views

Analytic Solution to SDEs

Are there any example of SDEs with constant diffusion terms, other than the Ornstein Uhlenbeck process, which have exact solutions? I'm thinking of something of the form: \begin{equation} dX_t = f(...
user2379888's user avatar
5 votes
2 answers
4k views

sparsity of QR decomposition

Hi, everyone! I have a sparse $n \times n$ matrix $A$ with $nnz(A)$ denoting the number of non-zero entries in $A$. Now I use QR factorization to decompose $A$ into an orthogonal matrix $Q$ and ...
Mike's user avatar
  • 51
5 votes
3 answers
550 views

closest equidistant point to N points in M dimensions

Is there a formula/algorithm/etc. to find the closest equidistant point (assuming it exists) to a set of points, allowing that the number of dimensions of the space is independent of the number of ...
Erik's user avatar
  • 425
5 votes
2 answers
2k views

Solving for Moore Penrose pseudo inverse

I have a system to solve, set up as : $$Ax = b$$ with a square rank deficient matrix $A$. The paper suggests to use a Moore Penrose pseudo inverse, which in my case can be computed using the ...
WhitAngl's user avatar
  • 481
5 votes
1 answer
481 views

Stability of root-finding near the unit circle

It is stated in several sources on numerical analysis that the general problem of polynomial root-finding is ill-conditioned, but that it is well-conditioned if the roots are near the unit circle. (e....
user49097's user avatar
  • 173
5 votes
1 answer
2k views

Are piecewise linear functions dense in $W^{1,\infty}$?

Are piecewise linear functions dense in $W^{1,\infty}$ ?
Buyang LI's user avatar
  • 393
5 votes
2 answers
2k views

Multiplicative gradient descent?

The normal gradient descent is additive: $w_{t+1}=w_t-\lambda_t\nabla f(w_t)$, but is there a multiplicative gradient descent that looks something like $w_{t+1}=w_t[-\lambda_t\nabla f(w_t)]$? I know ...
thinkbear's user avatar
  • 211
5 votes
2 answers
3k views

Continuous Linear Programming: Estimating a Solution

I have a "continuous" linear programming problem that involves maximizing a linear function over a curved convex space. In typical LP problems, the convex space is a polytope, but in this case the ...
David S-D's user avatar
  • 373
5 votes
3 answers
5k views

measure of quality of curve fit

I am interested in a measure for the quality of fit to a curve which would distinguish the two cases shown in the following image (without addressing the fact that incidentally the right one has more ...
liza's user avatar
  • 307
5 votes
2 answers
731 views

Do any two hermitian matrices A and B commute with the support of their commutator?

Let $A$ and $B$ be Hermitian matrices. Let $[A,B] = AB - BA$ be their commutator and let $[A,B]^+$ be the Moore-Penrose pseudoinverse of $[A,B]$. Is it then true that $A$ and $B$ both commute with the ...
saolof's user avatar
  • 1,947
5 votes
2 answers
2k views

Real world example of use of Monte Carlo method for high dimensional integrals

The Monte Carlo method for numerical integration is usually presented as a method invented to efficiently compute high dimensional integrals numerically. However, I haven't found any source which has ...
David's user avatar
  • 141
5 votes
2 answers
1k views

Roots of the Chebyshev polynomials of the second kind

It is known that the roots of Chebyshev polynomials of the second kind, denote it by $U_n(x)$, are in the interval $(-1,1)$. I have noticed that, by looking at the low values of $n$, the roots of $(...
math137's user avatar
  • 373
5 votes
2 answers
192 views

Accuracy of the formulas for angles between almost colinear vectors

Assume $x$ and $y$ are two vectors in $\mathbb{R}^3$ and we want to compute the acute angle $\alpha\in(0,\pi/2]$ between these two (noncolinear) vectors. There are (at least) two possibilities: In ...
Algebraic Pavel's user avatar
5 votes
1 answer
1k views

Delay Differential Equations Numerical methods

I have a general question about delay differential equations. I know that even simple ones hardly have analytic solutions and mine clearly doesn't have any as it is a system of non-linear delay ...
user88595's user avatar
  • 173
5 votes
3 answers
1k views

Algorithm for the intersection of a vector subspace with a cone of non-negative vectors

Hi, I would like to know whether there is some more effective way of how to compute an intersection of a vector subspace of $\mathbb{R}^{n}$ with a cone of vectors with non-negative entries than the ...
Miroslav Korbelar's user avatar
5 votes
3 answers
8k views

Linear programming - uniqueness of optimal solution

Is it possible to build such an objective function for a given set of constraints, so that there will be only one optimal solution? My general problem is to get any vertex of a polytope formed by a ...
Michael's user avatar
  • 85
5 votes
2 answers
716 views

Runge-Kutta method with c<1

In trying to solve an ODE $y'=f(y,t)$ with a function f that is discontinuous at a subset (codim=1) of $\mathbb R^n$, I am looking for a Runge-Kutta ODE method whose stages do not evaluate $f(x,t)$ at ...
Yossi Farjoun's user avatar
5 votes
1 answer
5k views

Is there a general method for determing the domain of dependence of (higher-order) PDEs?

Is there a general method for determining the domain of dependence of (higher-order) PDEs? I would be plenty happy with a reference to a paper or textbook I could look at; despite much reading around,...
Jess Riedel's user avatar
5 votes
1 answer
2k views

Inverting a covariance matrix numerically stable

Given an $n\times n$ covariance matrix $C$ where $n$ around $250$, I need to calculate $x\cdot C^{-1}\cdot x^t$ for many vectors $x \in \mathbb{R}^n$ (the problem comes from approximating noise by an $...
Erwin's user avatar
  • 51
5 votes
3 answers
1k views

Interpolation by rational functions reference

I have been hearing a lot about a theory of interpolation using rational function, parallel to that of polynomial interpolation. I'm looking for a book chapter, or even short lecture notes, that will ...
Amir Sagiv's user avatar
  • 3,574
5 votes
1 answer
407 views

Is this inverted integral transform valid?

I have the following transform: $$F(y) = \int_{0}^{\infty} y\exp{\left[-\frac{1}{2}(y^2 + x^2)\right]} I_0\left(xy\right)f(x)\;\mathrm{d}x$$ with the following conditions: $f(x)$ and $F(y)$ must be ...
CBowman's user avatar
  • 153
5 votes
2 answers
1k views

What is the definition of an antilimit?

I've seen some references to antilimits in the numerical analysis literature, but no definition of the term. The impression I get is that in specific contexts where every sequence $x_0,x_1,x_2,\dots$ ...
James Propp's user avatar
  • 19.7k
5 votes
2 answers
4k views

Are there any algorithms for solving nonlinear matrix equations over $\mathbb{C}$?

Are there any algorithms for solving nonlinear matrix equations over $\mathbb{C}$? I am especially interested in solving polynomial nonlinear matrix equations. For instance, let $X$ be some matrix ...
gondolf's user avatar
  • 1,503
5 votes
5 answers
1k views

solving series of linear systems with diagonal perturbations

I would like to solve a series of linear systems Ax=b as quickly as quickly as possible. However, the systems are related. Specifically, each matrix A is given by: cI + E where E is a fixed sparse, ...
Fumiyo Eda's user avatar
5 votes
1 answer
260 views

Approximate Sobolev embedding

It is well-known in $H^2(\mathbb R^3)$ embeds into $L^{\infty}(\mathbb{R}^3).$ Now consider a function $u \in \ell^{\infty}(h\mathbb Z^3)$ and a grid of points $x \in h\mathbb{Z}^3.$ We then define ...
Pritam Bemis's user avatar
5 votes
1 answer
384 views

Examples of Polyhedra with Large Shadows

Let $P \subseteq \mathbb{R}^n$ be a polyhedron described by $\mathcal{O}(n^{c_1})$ inequalities, where $c_1$ is a constant. Moreover, let $M\colon P \to \mathbb{R}^2$ be a linear mapping. I'm looking ...
Christopher's user avatar
5 votes
2 answers
428 views

Evaluating a limit similar to the Euler constant

In the course of studying a certain complex-valued functional equation, I have had a need to evaluate the following limit: $$\gamma_\mathcal{T}=\lim_{n\to\infty}\left(-\frac{i}{2}\sum_{k=1}^n \frac1{...
Porfirio Palos's user avatar
5 votes
1 answer
503 views

Approximating high-dimensional integrals by low-dimensional ones

This question is motivated by the following naive one: suppose we have a nice subset $X$ of some Euclidean space, say a polyhedron, and a nice $\mathbb{R}$-valued function $f$ on this subset, say a ...
algori's user avatar
  • 23.5k
5 votes
2 answers
456 views

Inverting products of matrices

I need to compute a large number of inverses of the following form: $(A \Lambda_k A^\top)^{-1}$ where $A \in \mathbb{R}^{m \times n}$, $n > m$ and $\Lambda_k = \text{diag}(\lambda_1, ..., \...
Lucas's user avatar
  • 153
5 votes
1 answer
177 views

Can you use Oseledet's theorem to numerically approximate the Lyapunov spectra?

Let's say you have a set of first order differential equations with known Jacobian $J$. Let $x_0, x_1, ..., x_n$ be sampled points on the trajectory near the attractor. Let $T_n = J(x_{n-1})J(x_{n-2})....
jd123's user avatar
  • 188
5 votes
1 answer
471 views

Padé multipoint approximants of the exponential function

One says that a pair of polynomials $(P_m,Q_n)$ over $\mathbb C[z]$, with $\text{deg }P_m=m$, $\text{deg }Q_n=n$, is a "multipoint Padé approximant of the exponential function" if $P_m(z)e^z-Q_n(z)$ ...
joaopa's user avatar
  • 3,998
5 votes
1 answer
183 views

Resource Constrained Routing with Refueling

What are good algorithms (resp. models) for calculating optimal or near optimal routes while taking into account fuel consumption, options for refueling and, limited tank capacity? Especially modeling ...
Manfred Weis's user avatar
  • 13.2k
5 votes
2 answers
2k views

Bounding the minimal maximum norm of a solution of a linear system.

I would be grateful for pointing me out a reference to some general bound on the $\ell_{\infty}$ norm of a solution of a linear system. To be specific, suppose that we have an underdetermined linear ...
user3645's user avatar
  • 191
5 votes
2 answers
1k views

Applications of minmax theorem(s)

Intro We suppose $X$ and $Y$ are nonempty sets and f: $X\times Y \rightarrow \mathbb{R}$. A minimax theorem is a theorem that asserts that, under certain conditions, $$ \inf_Y \sup_X f = \sup_X \...
5 votes
1 answer
644 views

A conjecture about the submatrix of orthogonal matrix

Let $U$ be an $n\times n$ orthogonal matrix, i.e. $U\in\mathbb{R}^{n \times n}$. For any non-empty ordered sets $S_1,S_2\subset\{1,2,...,n\}$, define $U_{S_1S_2}$ to be an $|S_1|\times|S_2|$ submatrix ...
neverevernever's user avatar
5 votes
2 answers
1k views

Pade approximation of gaussian distribution to given precision

Apologies if the question is too elementary here. For a certain computational application I need to approximate Gaussian distribution $e^{-x^2}$ with specific absolute precision (within $10^{-7}$ ...
Michael's user avatar
  • 2,205
5 votes
2 answers
584 views

Continuous Transportation Problem

Hi all, I'm trying to formulate an infinite linear program to prove optimality (via duality) for the Continuous Transportation Problem, e.g. the Kantorovich-Wasserstein distance. This is the ...
Carrie Nuttall's user avatar
5 votes
1 answer
284 views

Unbounded solution but bounded Euler discretization

Is there an ordinary differential equation in $\mathbb{R}^d$ induced by a gradient vector field with unbounded solutions, for which the difference equations obtained by using the forward Euler method ...
Jean Legall's user avatar
5 votes
1 answer
394 views

Explicit Formula of Delsarte's Linear Programming Upper Bound for $A_q(n,3)$

The problem of giving an explicit formula for $A_q(n,d)$ is sometimes referred to as "the main problem in coding theory." The value of $A_q(n,d)$ is given by the maximum number of codewords in a q-ary ...
Max Hopkins's user avatar

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