Sentence examples for minimization problems from inspiring English sources

Capacity maximization and cycle length minimization problems are considered.

Approximation theorems are polynomial time algorithms for computing approximate solutions of NP-hard minimization problems.

Consequently, there is need for efficient optimization procedures for submodular functions, especially for minimization problems.

Therefore we have developed several optimization algorithms in Sherpa which target a wide range of minimization problems.

We give several efficient algorithms for empirical risk minimization problems with common and important regularization functions and domain constraints.

Therefore several optimization algorithms have been developed for Sherpa which target a wide range of minimization problems.

In this paper, we propose numerical methods for minimization problems constrained to S1 and S2.

These problems can be formulated as minimization problems with non-convex constraints.

The proposed EHS algorithm is utilized to solve four classical weight minimization problems of steel frames.

This paper presents an evolutionary node shift method for truss shape optimization of weight minimization problems.

Matrix rank minimization problems are gaining plenty of recent attention in both mathematical and engineering fields.