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3 votes
2 answers
276 views

Practical symmetric equivalent to QR factorization updates

As we know, the QR-factorization $Q\cdot R=A$ of any real symmetric $n \times n$ matrix $A$ with full rank is unconditionally numerically stable. Further, when A is rank-1-updated, the factorization ...
kaisong's user avatar
  • 51
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
1 vote
0 answers
96 views

On optimizing a multivariate quadratic function subject to certain conditions

The problem is to maximize $f(x_1,x_2,\cdots,x_n)=\sum\limits_{i=1}^{n}\Big(x_i-k_i\Big)^2$ for $n\ge 3$ subject to the conditions (1) $\sum\limits_{i=1}^{n}x_i=\sum\limits_{i=1}^{n}k_i\le n(n-1)$ ...
shahulhameed's user avatar
4 votes
0 answers
714 views

What is the computational complexity of Arnoldi algorithm for diagonalization?

What is the space and time computational complexity of finding $k$ eigenvalues of an $N\times N$ matrix using the iterative Arnoldi algorithm? I know that exact diagonalization scales like $O(N^3)$, ...
skdys's user avatar
  • 141
1 vote
0 answers
335 views

Closed-form solution of a particular linear program

(Note: I asked a similar question at math.stackexchange but the present one is more precise.) I have a linear program of the form: $$\text{minimize} \space\space x_1 \space\space \text{subject to:}$$ $...
Fabius Wiesner's user avatar
2 votes
1 answer
84 views

Pressure integrated by parts in finite element method

Most FEM texts or tutorials apply FEMs on diffusion equations where the 2nd spatial derivative is integrated by parts during weak formulation. For convection diffusion equations, there is a first ...
feynman's user avatar
  • 159
6 votes
2 answers
539 views

Optimal polynomial approximation of rational function $\frac{1}{1-x}$

I've been working on the following polynomial approximation problem. I want to find the optimal Chebyshev approximation of the rational function $\frac{1}{1-x}$ on the real interval $x\in[-\rho, \rho]$...
ljy's user avatar
  • 63
1 vote
1 answer
131 views

Numerical methods for systems of trilinear polynomials

I have some large system of particular non-linear polynomial equations: each equation mentions at most three variables no variable appears with a degree larger than 1. I'm not an expert in this area ...
Nicola Gigante's user avatar
1 vote
1 answer
169 views

Best projection on non-convex discrete set with two constraints

I want to compute the projection of a vector $\left( x\right) _{1\leq i,j\leq n}\in \lbrack 0,1]^{n\times n}$ on the following discrete set $$ S=\left\{ x\in \{0,1\}^{n\times n}:x_{i,j}+x_{j,i}\leq 1;\...
Goga's user avatar
  • 47
2 votes
1 answer
61 views

Counting the number of pair of d-uplets with upper bounded distance

Consider two d-uplets $u = (u_1,...,u_d)$ and $v = (v_1, ..., v_d)$ both living in $\mathbb{N}^d$ with $d$ a positive integer. They both verify $$(*) \sum_{i=1}^d u_i = \sum_{i=1}^d v_i = k$$ with $k$ ...
Ludwich's user avatar
  • 55
0 votes
1 answer
147 views

Is there a redundant constraint in linear programming? [closed]

From wikipedia: But... Why do we need the $x\ge 0$ part? We can instead do $-x\le 0$, and thus saving a line in the definition (which is not a big deal but nevertheless nice). (In order to do that, ...
Bipolo's user avatar
  • 3
1 vote
1 answer
155 views

Finding minimax approximation of a permutation equivariant polynomial

Is there any known method to approximate a given permutation-equivariant smooth function $f: \mathbb{R}^{n} \to \mathbb{R}^{n}$ as multivariable polynomial function $p: \mathbb{R}^{n} \to \mathbb{R}^{...
Seewoo Lee's user avatar
  • 2,215
0 votes
0 answers
272 views

Finding the eigenvectors of a submatrix

Let $A=(a_{kl})$ be a matrix in $M_n(\mathbb{R})$ when $n$ is even. Let $B=(b_{kl})$ be the symmetric $2n$ by $2n$ matrix whose entries are given by, $b_{k,l}=a_{kl}$ if $1\leq k,l\leq n$. $b_{n+k,l}=...
ABB's user avatar
  • 4,058
1 vote
0 answers
47 views

Nash Equilibria change linearly in (some) game parameters. Already known / follows from a more general result?

EDIT: The key thing that I am wondering about is the linearity of the P2 strategy, not the constancy of P1. (The latter is straightforward.) Question: Is the following result already known? Or is it a ...
Vojtěch Kovařík's user avatar
0 votes
1 answer
83 views

Combining Dantzig-Wolfe and Benders decomposition

I'm now solving an LP that has a few coupling rows (as in Dantzig-Wolfe decomposition) and a few coupling columns (as in Benders decomposition) simultaneously; other rows and columns are block-angular....
tlu's user avatar
  • 3
4 votes
0 answers
99 views

Interpolation on Sobolev space on $[0, 1]^d$ over finite meshes

Let $\Omega = [0, 1]^d$ and suppose that $f \colon \Omega \to \mathbb{R}$ lies in order $m > d/2$ Sobolev space; i.e., $$ \|f\|_{H^m(\Omega)}^2 = \sum_{|\alpha| \leq m} \|D^\alpha f\|_{L^2(\Omega)}^...
Drew Brady's user avatar
1 vote
0 answers
56 views

Error bounds for Sobolev space norm approximation on a finite grid

Suppose that $f : [0, 1] \to \mathbb{R}$ is an element of the order-$k$ Sobolev space, \begin{multline} f^{(k - 1)}~\text{is absolutely continuous},\quad \|f\|_{W^k}^2 := \int_0^1 f^{(k)}(x)^2 \, dx &...
Drew Brady's user avatar
0 votes
1 answer
36 views

Benefit of adding a trivial constraint to ILPs

let ILP be an integer linear program with constraints-matrix $\boldsymbol{\mathrm{M}}\in\mathbb{Z}^{m\times n}$ and cost vector $\boldsymbol{\mathrm{c}}\in\mathbb{Z}^n$, ${\boldsymbol{\mathrm{x}}^*}\...
Manfred Weis's user avatar
  • 13.2k
0 votes
0 answers
94 views

Boolean operation on n dimensional polyhedron

A polyhedron in $R^n$ is defined by a set of half-planes: $P = \{x \in R^n \mid Ax - b \le 0\}$. Given a set of polyhedra in $R^n$, $ P_1, P_2, \dotsc, P_k$, is there an algorithm/implementation that ...
Robin Lee's user avatar
0 votes
1 answer
93 views

How quickly can this IQP or its MILP relaxation be solved

Let $A\in\{0,1\}^{(n,n)}$ be a $n$ by $n$ boolean matrix (in particular think of an adjacency matrix of a graph), and consider the following optimization problem: $$\begin{align*}&&\max_{P\in\{...
alosc's user avatar
  • 71
2 votes
0 answers
88 views

Kolmogorov $\epsilon$-entropy, $n$-width, and $\epsilon$-capacity and applications

What is the relationship between Kolmogorov $\epsilon$-entropy, Kolmogorov $n$-width, and Kolmogorov $\epsilon$-capacity of a set $M$ in a metric space $X$? (The $\epsilon$-capacity here is the ...
Hiro's user avatar
  • 131
1 vote
0 answers
57 views

Uniform bound on the measure of $\Omega_\delta = \Omega \cap \delta\mathbb Z^d$ if $\Omega$ is an open bounded set with Lipschitz boundary

Let $\Omega \subset \mathbb R^d$ be an open bounded set with Lipschitz boundary. Let us consider $\Omega_\delta = \Omega \cap \delta\mathbb Z^d$ for $\delta >0$. I want to say that the measure of $\...
Hiro's user avatar
  • 131
1 vote
0 answers
240 views

How to numerically compute the operator norm of an operator acting on a matrix algebra?

Let $M_n(C)$ denote the $n\times n$ matrices with complex entries acting on the Hilbert space $C^n$. As norm on $M_n(C)$ we take the operator norm, i.e. the largest eigenvalue of its absolute value. ...
Matthijs's user avatar
8 votes
2 answers
1k views

Mathematics of sustainable development and energy sobriety in the classroom

Faculty members are encouraged to highlight the connection between the courses we teach and climate change, and raise awareness of the issue in our lectures, across subjects in my university. I am ...
0 votes
1 answer
539 views

Method for (binary) optimization under constraints

I would like to know if there is a method to solve the Problem. Problem: Maximize the following function: $$f(p_{1,i},p_{2,i},\dotsc,p_{m,i})=\sum_{i=1}^{n}\begin{bmatrix}p_{1,i} & p_{2,i} & \...
kris's user avatar
  • 3
3 votes
0 answers
182 views

Rate of uniform approximation by piecewise constant functions

Definitions and Notation: Fix a positive constant $M>0$ with positive integers $m,n$ and the standard orthonormal basis $e_1,\dots,e_n$ of $\mathbb{R}^n$. For every positive integer $N$, define the ...
ABIM's user avatar
  • 5,405
3 votes
1 answer
162 views

Approximation in Bochner spaces

Is there any result like the Bramble-Hilbert lemma for Bochner spaces? More specifically: let $H$ be a (e.g.) Hilbert space, $I\subset \mathbb R$ a bounded interval, and $L \in \mathcal L(H^k(I;H), Y)...
Lilla's user avatar
  • 235
3 votes
0 answers
147 views

Chebyshev-like polynomials [closed]

In some approximation problems I'm working on, the errors turned out to be polynomials of various degrees whose graphs on the interval $[-1,1]$ look like this: As you can see, these things look a bit ...
bubba's user avatar
  • 649
1 vote
0 answers
59 views

How do I incorporate Ito's lemma into the solution for a finite-horizon stochastic cake-eating problem?

I'm interested in finite-horizon, continuous-time cake-eating problems in which the agent has a time-horizon $W$ over which to eat the cake, and then chooses an optimal consumption path $\{h_t\}_0^W$, ...
C_A_Pepe's user avatar
0 votes
0 answers
63 views

Direct (first-order ?) algorithm to minimize $u(x) := \|x-a\|_C + r\|x\|_p$

Fix $a \in \mathbb R^n$, $r \ge 0$, $p \in \{1,2\}$, and a positive-definite matrix $C$ of order $n$. Define $u:\mathbb R^n \to \mathbb R$ by $u(x) := \|x-a\|_C + r\|x\|_p$, where $\|z\|_C := \sqrt{z^\...
dohmatob's user avatar
  • 6,853
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
0 votes
1 answer
143 views

$\mathrm{ILP}$-formulation for Minimum Maximal Matching (MMM) Problem

Despite some online searching I couldn't find examples of dedicated Integer Linear Programs ($\mathrm{ILP}$s) for determining smallest matchings, that are not contained in a larger one. It seems that ...
Manfred Weis's user avatar
  • 13.2k
0 votes
0 answers
54 views

Numerically expanding a function in a rational-power "basis"

I have some scientific code which interfaces with a library which accepts real functions specified as any number of additive terms with exponential powers. For instance, it is capable of accepting ...
Anti Earth's user avatar
11 votes
3 answers
726 views

Can computers find zeros of order $2$?

We assume we are given an entire function $f: \mathbb C \to \mathbb C$ with $f(0)=1$ and $f'(0)=0$ and $f$ is real on the real axis. We assume (as a fact about $f$, that we want to demonstrate ...
Pritam Bemis's user avatar
1 vote
1 answer
181 views

Linear programming with "nice" matrices

Consider the following linear programming problem \begin{array}{ll} \text{minimize} & \mathrm 1^{\top} \mathrm x\\ \text{subject to} & v\le \mathrm A \mathrm x \le u\\ & \mathrm x \geq ...
user12345678's user avatar
1 vote
1 answer
703 views

Calculating the eigenvalues of the Laplacian numerically

I am trying to find the eigenvalues of the Laplacian operator, or in other words, solve the Helmholtz equation $\nabla^2f=\lambda f$ on a compact 2D domain (comes from a quantum mechanics particle-in-...
FusRoDah's user avatar
  • 3,738
1 vote
0 answers
59 views

Functional approximation with derivatives

I am trying to solve a functional approximation problem. Consider a set of measurements of a d-dimensional state $\mathrm x \in \mathbb{R}^d$, together with velocities $\dot{\mathrm x}$ and ...
can't stop me now's user avatar
0 votes
0 answers
108 views

Solving a nonlinear equation maybe with Lambert W function

Can you please help me solve the following nonlinear equation? \begin{equation} \boldsymbol{z} \odot\left(\boldsymbol{\Gamma}^{\top} \boldsymbol{y}\right)=(\beta)^{\frac{1}{m-1}}\left(\frac{m-1}{...
Iman Nodozi's user avatar
3 votes
0 answers
69 views

how to efficiently find level sets (using a modification of a root-finding algorithm)?

I'm trying to find a set of points $\{ a_i | f(a_i) = c_i \}_{i=1}^k$ where $f$ and $\{ c_i \}_{i=1}^k$ are given in sorted order. All $c_i > 0$, $f$ is continuous and monotonically increasing, $f(...
Paul Mineiro's user avatar
6 votes
1 answer
913 views

Resultant of linear combinations of Chebyshev polynomials of the second kind

The Chebyshev polynomial $U_n(x)$ of the second kind is characterized by $$ U_n(\cos\theta)=\frac{\sin(n+1)\theta}{\sin(\theta)}. $$ It seems that $$\operatorname*{Res}_x \left( U_n(x)+tU_{n-1}(x),\...
W. Wang's user avatar
  • 437
3 votes
1 answer
175 views

Is there a classical textbook/reference on numerical discretization schemes?

I found that it is relatively easy to find a book that discusses Euler discretization or Runge-Kutta discretization, but I am not aware of one that is well-known and/or common knowledge (i.e., field-...
Sin Nombre's user avatar
2 votes
1 answer
177 views

Obtain 3D function from 2D slices [closed]

I am given a graph of a motor's torque vs RPM values at two different current draws, 730A and 300A (see graph). I need to obtain the 3D function to find current as a function of torque and RPM by ...
AzodineAcid's user avatar
2 votes
1 answer
877 views

Interpreting mincost flow dual variables

Consider the task of finding flow of size $b$ with minimum possible cost. It may be formulated as linear programming in a following way: $$\boxed{\begin{gather} \min\limits_{f_{ij} \in \mathbb R} &...
Oleksandr  Kulkov's user avatar
3 votes
0 answers
122 views

Preconditioners for $Ax=y$ that rely on hierarchical statistical modeling

Solving $Ax=y$ exactly can be done as: fit a linear autoregressive model by treating rows of $A$ as data apply this model to $A^T y$ Imperfect predictive model corresponds to an approximate inverse ...
Yaroslav Bulatov's user avatar
1 vote
1 answer
59 views

Does norm of discrepancy decrease monotonously in CGLS/CGNR

I am the author of the package for tomographic reconstruction https://github.com/kulvait/KCT_cbct I have implemented CGLS/CGNR , algorithm which applies conjugate gradients on normal equation $$ A^\...
VojtaK's user avatar
  • 151
0 votes
1 answer
64 views

Round Robin volleyball Tournament [closed]

Consider a set of N teams (N even number) that must make a Round Robin Tournament. To each pair i; j, i ≠ j, of teams there is associated level of interest si,j ∈ {1;2;3} of the match between them (1 =...
Giuseppe Teodoro's user avatar
0 votes
1 answer
123 views

Explicit expression of Padé–Hermite approximant of type I

It is well known that the Padé approximants $(P,Q)$ of an analytic function in the neighborhood of $0$ can be expressed as a quotient of Hankel determinants built on the coefficients of the function $...
joaopa's user avatar
  • 3,996
1 vote
0 answers
114 views

How is the quasipotential in Freidlin-Wentzell theory of large deviations affected by $C^1$ transformations?

I have a 3D differential equation I'm interested in studying the potential landscape using quasipotentials, described in depth in this paper. I need to calculate the potential landscape several times, ...
Rono's user avatar
  • 73
0 votes
0 answers
114 views

Degeneracies in linear combination of tensor product of Pauli matrices

Let $P_i \in \{I,X,Y,Z\}^{\otimes n} $, that is $P_i = \bigotimes_{i =1 }^n \sigma_i$ with $\sigma_i \in \{I,X,Y,Z\}$, where $$ I = \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix} \hspace{1cm} X =...
KAJ226's user avatar
  • 131
1 vote
0 answers
76 views

Newton-Raphson and bisection for solving for a system of nonlinear equations?

We know that for a single equation root-finding, we can use the Newton's method, or a combination of Newton with bisection to guarantee convergence. Can we use Newton+bisection for a system of ...
Jen's user avatar
  • 11

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