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Nefedov V. N

Publications and source records attributed to Nefedov V. N.

2 recordsLinked to original sources

Description of the set of admissible piecewise linear routes with n turns in the three dimensional case

We consider piecewise linear polygonal chains connecting two given points $A, B \in \mathbb{R}^3$ and consisting of exactly $n+1$ segments (i.e., having $n$ turning points). The absolute value of the turning angle at each interior point is bounded by a given number $\varphi \in (0,\pi)$. Under the condition $n\varphi \leq \pi$, we describe the set to which all interior vertices of such a polygonal chain belong (Theorem 1). It is proved that for any point $B^{(1)}$ from this set, there exists a polygonal chain with the specified parameters (Lemma 1). Based on these results, we obtain an explicit formula describing the set of all admissible sequences $(B^{(1)}, \ldots, B^{(n)})$ of the angular points of the polygonal chain. The obtained description can serve as a basis for constructing algorithms to enumerate admissible polygonal chains and to solve optimization problems for an objective function that accounts for the cost of traversing the segments and the cost of turns.

math.OC

Problem of Finding an Optimal Piecewise Linear Path Connecting Two Given Points with the Possibility of Making n Turns

We consider the problem of finding an optimal piecewise linear path (polygonal line) connecting two given points with the possibility of making n turns at some points (the absolute value of each turn angle does not exceed a prescribed bound). Under some condition, we characterize the region to which all interior vertices of such a path must belong (Theorem 1). It is shown that for any point from this region, there exists a polygonal line satisfying the given constraints (Lemma 1). Based on these findings, an explicit expression is derived (Theorem 2) that describes the collection of all admissible sequences of corner points. This expression is then used to construct a finite family of sequences that approximates the aforementioned collection. The resulting finite approximating family serves as the basis for developing algorithms that provide approximate solutions to an optimization problem, where the objective function accounts for both the cost of traversing the segments and the cost associated with the turns.

math.OC