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Other considerations enter the choice of a code. For example, hexagon packing into the constraint of a rectangular box will leave empty space at the corners. As the dimensions get larger, the percentage of empty space grows smaller. But at certain dimensions, the packing uses all the space and these codes are the so-called "perfect" codes.
A solved game is a game whose outcome (win, lose or draw) can be correctly predicted from any position, assuming that both players play perfectly.This concept is usually applied to abstract strategy games, and especially to games with full information and no element of chance; solving such a game may use combinatorial game theory or computer assistance.
No-code tools are often designed with line of business users in mind as opposed to traditional IT.. The potential benefits of using a NCDP include: Agility - NCDPs typically provide some degree of templated user-interface and user experience functionality for common needs such as forms, workflows, and data display allowing creators to expedite parts of the app creation process.
Assume there exists an optimal solution different from the greedy solution; Identify the first point where the optimal and greedy solutions differ; Prove that exchanging the optimal choice for the greedy choice at this point cannot worsen the solution; Conclude by induction that there must exist an optimal solution identical to the greedy solution
A perfect code may be interpreted as one in which the balls of Hamming radius t centered on codewords exactly fill out the space (t is the covering radius = packing radius). A quasi-perfect code is one in which the balls of Hamming radius t centered on codewords are disjoint and the balls of radius t+1 cover the space, possibly with some ...
Sparse approximation (also known as sparse representation) theory deals with sparse solutions for systems of linear equations. Techniques for finding these solutions and exploiting them in applications have found wide use in image processing, signal processing, machine learning, medical imaging, and more.
In number theory and computer science, the partition problem, or number partitioning, [1] is the task of deciding whether a given multiset S of positive integers can be partitioned into two subsets S 1 and S 2 such that the sum of the numbers in S 1 equals the sum of the numbers in S 2.
Linear block codes are frequently denoted as [n, k, d] codes, where d refers to the code's minimum Hamming distance between any two code words. (The [ n , k , d ] notation should not be confused with the ( n , M , d ) notation used to denote a non-linear code of length n , size M (i.e., having M code words), and minimum Hamming distance d .)