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相关概念视频

Synthetic Disvision of Polynomials01:28

Synthetic Disvision of Polynomials

140
Synthetic division is an efficient algorithmic approach for dividing a polynomial by a linear binomial of the form x - c, where c is a real number. This method is helpful due to its streamlined process, which avoids the more cumbersome steps involved in the traditional long division of polynomials. It simplifies computation and serves as a practical tool for evaluating polynomials and identifying their factors.To perform synthetic division, one begins by listing the coefficients of the...
140
Fundamental Theorem of Algebra01:30

Fundamental Theorem of Algebra

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The Fundamental Theorem of Algebra is central to the study of polynomial equations, asserting that every non-constant polynomial with complex coefficients has at least one complex zero. This means that a polynomial of degree n ≥ 1, written as:  with an ≠ 0, has at least one solution in the complex number system. Since the set of real numbers is a subset of complex numbers, this theorem applies equally to polynomials with real coefficients.Building on this result, the...
233
Long Division of Polynomials01:26

Long Division of Polynomials

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Polynomial division is an essential algebraic process to simplify expressions and solve equations. Just as numerical division separates a number into quotient and remainder, polynomial long division partitions a polynomial into simpler components; in this context, the dividend is the polynomial being divided, the divisor is the expression dividing it, and the result is expressed in terms of a quotient and a remainder.The division begins by arranging the dividend and divisor in standard...
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Introduction to Polynomial Functions01:26

Introduction to Polynomial Functions

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Polynomial functions are fundamental elements in algebra and calculus, defined by expressions that combine variables and constants through addition, subtraction, and multiplication, with the variable raised to nonnegative integer exponents. A general polynomial function of degree n is given byWhere an ≠ 0. The term anxn is the leading term, and an is the leading coefficient, while a0 is referred to as the constant term.Characteristics and ClassificationPolynomials are categorized by their...
206
Real Zeros of Polynomials01:27

Real Zeros of Polynomials

148
Polynomials are algebraic expressions of terms with variables raised to non-negative integer powers. A central aspect of analyzing polynomial functions is determining their real zeros—values of the variable for which the polynomial evaluates to zero. These values represent the x-intercepts of the polynomial’s graph.The Rational Zeros Theorem lists possible rational solutions for a polynomial equation with integer coefficients. If f(x)=anxn+....+a0​, then every rational zero is...
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Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

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In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
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Updated: Jan 13, 2026

Self-assembling Morphologies Obtained from Helical Polycarbodiimide Copolymers and Their Triazole Derivatives
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来自 permutation 多项式的 permutation 数组的高效算法.

Sergey Bereg1, Brian Malouf1, Linda Morales1

  • 1Department of Computer Science, University of Texas at Dallas, P.O. Box 830688, Richardson, TX 75083, USA.

Entropy (Basel, Switzerland)
|October 28, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了新的算法来计算更大度和有限场的 permutation多项式 (PPs). 这改进了M(n,D) 的下界,即对n个符号的最大变换数,其对向哈明距离为D.

关键词:
的距离是的距离.排列数组的排列数组的排列数组.换多项式的多项式

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科学领域:

  • 离散的数学 离散的数学
  • 抽象代数 抽象代数
  • 计算机科学 计算机科学

背景情况:

  • 变多项式 (PPs) 在组合学和有限场理论中是基本的.
  • 在密码学和编码理论中的应用中,有效计算PPs至关重要.
  • 计算PPs的现有方法对于大度和领域变得计算密集.

研究的目的:

  • 开发新的算法,以高效计算 permutation 多项式.
  • 为了提高更高度和更大的有限场的PPs的计算.
  • 为了改善M,n,D的下限,用特定的哈明距离量化 permutations.

主要方法:

  • 使用了规范化技术,包括F-maps和G-maps.
  • 在PP验证中应用了Hermite标准.
  • 基于这些方法开发了基于高效PP计算的算法.

主要成果:

  • 实现了更高效的顺序多项式的计算.
  • 成功地将方法应用于更大度和有限领域.
  • 改进了现有的M (n,D) 的下限.

结论:

  • 开发的算法为计算 permutation 多项式提供了显著的进步.
  • 这些进步使得对变换属性的分析更加有效.
  • 改进的M,n,D的边界对组合设计和相关领域有影响.