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Operations research, linear programming, control theory, systems theory, optimal control, game theory
2
votes
An Optimization problem
This is just a bit of data following Gerhard's and Suvrit's observations.
This is a graph of the maximum of $S$, $S_{\max}$, when $n=2$, not showing $x_1$ and $x_2$ that achieve the max,
but rather t …
1
vote
Maximizing the minimum of piecewise linear functions in high dimensional space
You might look at the literature on the upper envelope (or equivalently, the lower envelope) of a collection of surfaces in $\mathbb{R}^d$.
Such upper envelopes arise in a variety of computational geo …
10
votes
Accepted
Constructing a hypersurface with given outer normals
This is speculation, not a precise answer,
but I wonder if perhaps Minkowski's theorem on the existence
of a polytope with prescribed face normals and areas might help? This theorem is described in d …
5
votes
Accepted
Shortest Manhattan-norm paths among disjoint rectangles
The answer is Yes: "one can pre-process things with a higher up-front cost so as to make individual queries faster."
The Ph.D. thesis cited below shows that, with quadratic preprocessing, point-pair …
2
votes
Optimal covering of line subsegments using a given set of disks
This will be a high-level suggestion, and definitely not optimal.
First, execute a sweepline algorithm to detect all the points of intersections between
segments and circles.
Then for each segment, r …
2
votes
Mean curvature of polyhedral surfaces
There is a recent paper by John Sullivan entitled "Curvatures of Smooth and Discrete Surfaces"
in the collection Discrete Differential Geometry,
but available also in an earlier arXiv version.
Here i …
5
votes
Can all convex optimization problems be solved in polynomial time using interior-point algor...
For many cases, Yes (but see Dima's and Brian's answers),
by work of Yu. Nesterov, A. Nemirovski, as summarized in their book
Interior-Point Polynomial Algorithms in Convex Programming,
SIAM Studies i …
4
votes
Functions whose gradient-descent paths are geodesics
Here is a function $f(x,y)$ which is 0 inside the square $C=[\pm1,\pm1]$,
and outside that square
has value equal to the Euclidean distance $d( p, C )$ from $p=(x,y)$ to the boundary of $C$.
[I am try …
4
votes
Accepted
Solving for Hamiltonian path with constraints on allowable routes through vertices
This is an incomplete answer, but perhaps these key terms and references could help.
Your paths are often called angle-restricted paths in the literature, e.g., Fekete and Woeginger's 1997 "Angle-Rest …
2
votes
Accepted
A raceway problem
Just an illustration of the question:
1
vote
faces of a polytope
This is not an answer, just an example to help visualize the polytope for $m=3$, so in $\mathbb{R}^3$.
I used $n=6$ and $k=2$, with $a_1$ and $a_2$ marked in blue, and $\{a_3,a_4,a_5,a_6\}$ in red
(th …
3
votes
Algorithm to find the “optimal” path in a given graph
There is quite a large literature on shortest paths on polyhedral surfaces,
where the distance function is either Euclidean distance or more general metrics.
For example, this recent paper extends to …
4
votes
Do computational geometers use Lagrange multipliers?
Two examples, neither a direct hit on what you seek, I think.
But maybe they will trigger connections for others to answer better.
(1) Moody T. Chu and Matthew M. Lin.
"Low-Dimensional Polytope …
4
votes
How can a Roomba turn as little as possible?
The following paper studies this "milling" problem (generalized) from a complexity viewpoint:
Arkin, E. M., Bender, M. A., Demaine, E. D., Fekete, S. P., Mitchell, J. S., & Sethia, S. (2005). Opti …
3
votes
A path in the unit square that "doubles back" on itself in a nice way
This is not an answer and adds little, but ...
It maybe easier to consider a surrounding disk rather than a square.
I like the OP's idea of a spiral. Concentric circles allow $a>1$ shortcuts:
…