• 제목/요약/키워드: Newton's polynomial

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SOLVING MATRIX POLYNOMIALS BY NEWTON'S METHOD WITH EXACT LINE SEARCHES

  • Seo, Jong-Hyeon;Kim, Hyun-Min
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제12권2호
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    • pp.55-68
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    • 2008
  • One of well known and much studied nonlinear matrix equations is the matrix polynomial which has the form $P(X)=A_0X^m+A_1X^{m-1}+{\cdots}+A_m$, where $A_0$, $A_1$, ${\cdots}$, $A_m$ and X are $n{\times}n$ complex matrices. Newton's method was introduced a useful tool for solving the equation P(X)=0. Here, we suggest an improved approach to solve each Newton step and consider how to incorporate line searches into Newton's method for solving the matrix polynomial. Finally, we give some numerical experiment to show that line searches reduce the number of iterations for convergence.

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SOLVING A MATRIX POLYNOMIAL BY NEWTON'S METHOD

  • Han, Yin-Huan;Kim, Hyun-Min
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제14권2호
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    • pp.113-124
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    • 2010
  • We consider matrix polynomial which has the form $P_1(X)=A_oX^m+A_1X^{m-1}+...+A_m=0$ where X and $A_i$ are $n{\times}n$ matrices with real elements. In this paper, we propose an iterative method for the symmetric and generalized centro-symmetric solution to the Newton step for solving the equation $P_1(X)$. Then we show that a symmetric and generalized centro-symmetric solvent of the matrix polynomial can be obtained by our Newton's method. Finally, we give some numerical experiments that confirm the theoretical results.

ON THE DISTANCE TO A ROOT OF COMPLEX POLYNOMIALS UNDER NEWTON'S METHOD

  • Chaiya, Malinee;Chaiya, Somjate
    • 대한수학회지
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    • 제57권5호
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    • pp.1119-1133
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    • 2020
  • In this paper, we derive an upper bound for the distance from a point in the immediate basin of a root of a complex polynomial to the root itself. We establish that if z is a point in the immediate basin of a root α of a polynomial p of degree d ≥ 12, then ${\mid}z-{\alpha}{\mid}{\leq}{\frac{3}{\sqrt{d}}\(6{\sqrt{310}}/35\)^d{\mid}N_p(z)-z{\mid}$, where Np is the Newton map induced by p. This bound leads to a new bound of the expected total number of iterations of Newton's method required to reach all roots of every polynomial p within a given precision, where p is normalized so that its roots are in the unit disk.

아르스 마그나와 프린키피아에 나오는 수치해석적 기법

  • 이무현
    • 한국수학사학회지
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    • 제15권3호
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    • pp.25-34
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    • 2002
  • This paper explains methods of numerical analysis which appear on Cardano's Ars Magna and Newton's Principia. Cardano's method is secant method, but its actual al]plication is severely limited by technical difficulties. Newton's method is what nowadays called Newton-Raphson's method. But mysteriously, Newton's explanation had been forgotten for two hundred years, until Adams rediscovered it. Newton had even explained finding the root using the second degree Taylor's polynomial, which shows Newton's greatness.

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NEWTON'S METHOD FOR SYMMETRIC AND BISYMMETRIC SOLVENTS OF THE NONLINEAR MATRIX EQUATIONS

  • Han, Yin-Huan;Kim, Hyun-Min
    • 대한수학회지
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    • 제50권4호
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    • pp.755-770
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    • 2013
  • One of the interesting nonlinear matrix equations is the quadratic matrix equation defined by $$Q(X)=AX^2+BX+C=0$$, where X is a $n{\times}n$ unknown real matrix, and A, B and C are $n{\times}n$ given matrices with real elements. Another one is the matrix polynomial $$P(X)=A_0X^m+A_1X^{m-1}+{\cdots}+A_m=0,\;X,\;A_i{\in}\mathbb{R}^{n{\times}n}$$. Newton's method is used to find the symmetric and bisymmetric solvents of the nonlinear matrix equations Q(X) and P(X). The method does not depend on the singularity of the Fr$\acute{e}$chet derivative. Finally, we give some numerical examples.

SKEW-SYMMETRIC SOLVENT FOR SOLVING A POLYNOMIAL EIGENVALUE PROBLEM

  • Han, Yin-Huan;Kim, Hyun-Min
    • 충청수학회지
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    • 제26권2호
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    • pp.275-285
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    • 2013
  • In this paper a nonlinear matrix equation is considered which has the form $$P(X)=A_0X^m+A_1X^{m-1}+{\cdots}+A_{m-1}X+A_m=0$$ where X is an $n{\times}n$ unknown real matrix and $A_m$, $A_{m-1}$, ${\cdots}$, $A_0$ are $n{\times}n$ matrices with real elements. Newtons method is applied to find the skew-symmetric solvent of the matrix polynomial P(X). We also suggest an algorithm which converges the skew-symmetric solvent even if the Fr$\acute{e}$echet derivative of P(X) is singular.

ON CONSTRUCTING A HIGHER-ORDER EXTENSION OF DOUBLE NEWTON'S METHOD USING A SIMPLE BIVARIATE POLYNOMIAL WEIGHT FUNCTION

  • LEE, SEON YEONG;KIM, YOUNG IK
    • 충청수학회지
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    • 제28권3호
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    • pp.491-497
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    • 2015
  • In this paper, we have suggested an extended double Newton's method with sixth-order convergence by considering a control parameter ${\gamma}$ and a weight function H(s, u). We have determined forms of ${\gamma}$ and H(s, u) in order to induce the greatest order of convergence and established the main theorem utilizing related properties. The developed theory is ensured by numerical experiments with high-precision computation for a number of test functions.

근거리 수치사진측량에 있어서 렌즈왜곡의 직접 보정 (Direct Correction of Lens Distortions in Close-Range Digital Photogrammetry)

  • 안기원;박병욱;서두천
    • 한국측량학회지
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    • 제17권3호
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    • pp.257-264
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    • 1999
  • 본 연구는 근거리 수치사진의 카메라 렌즈방사왜곡의 보정에 있어서, 기존 상용 소프트웨어의 최소제곱법에 의한 좌표변환방법인 기하보정툴을 사용하지 않고, 주변환식으로는 카메라 검정자료에서 제공되는 고차다항식을, 역변환에 있어서는 Newton-Raphson의 비선형 방정식의근의 해법을 직접 사용하여 렌즈방사왜곡을 보정함으로써 기하학적 정확도가 최소제곱법에 의한 좌표변환방법에 비하여 약 0.04∼0.08화소 향상된 수치 사진화상을 얻을 수 있었다. 또한 기존 소프트웨어에 있어서는 고차다항식의 최소제곱법 적용을 위해서 동일한 경중률의 많은 기준점의 선정작업을 필요로 하나, 본 연구에서 제시한 기법은 이 작업이 필요 없으므로 작업의 효율성을 높일 수 있었다.

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소비자 프라이버시 보호에 관한 다항식 기반 연구 (A Polynomial-based Study on the Protection of Consumer Privacy)

  • 박연희;김민지
    • 한국IT서비스학회지
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    • 제19권1호
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    • pp.145-158
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    • 2020
  • With the development and widespread application of online shopping, the number of online consumers has increased. With one click of a mouse, people can buy anything they want without going out and have it sent right to the doors. As consumers benefit from online shopping, people are becoming more concerned about protecting their privacy. In the group buying scenario described in our paper, online shopping was regarded as intra-group communication. To protect the sensitive information of consumers, the polynomial-based encryption key sharing method (Piao et al., 2013; Piao and Kim, 2018) can be applied to online shopping communication. In this paper, we analyze security problems by using a polynomial-based scheme in the following ways : First, in Kamal's attack, they said it does not provide perfect forward and backward secrecy when the members leave or join the group because the secret key can be broken in polynomial time. Second, for simultaneous equations, the leaving node will compute the new secret key if it can be confirmed that the updated new polynomial is recomputed. Third, using Newton's method, attackers can successively find better approximations to the roots of a function. Fourth, the Berlekamp Algorithm can factor polynomials over finite fields and solve the root of the polynomial. Fifth, for a brute-force attack, if the key size is small, brute force can be used to find the root of the polynomial, we need to make a key with appropriately large size to prevent brute force attacks. According to these analyses, we finally recommend the use of a relatively reasonable hash-based mechanism that solves all of the possible security problems and is the most suitable mechanism for our application. The study of adequate and suitable protective methods of consumer security will have academic significance and provide the practical implications.

AN IMPROVED COMPUTATION OF COMPONENT CENTERS IN THE DECREE-n BIFURCATION SET

  • Geum, Young-Hee;Kim, Young-Ik
    • Journal of applied mathematics & informatics
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    • 제10권1_2호
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    • pp.63-73
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    • 2002
  • The governing equation locating component centers in the degree-n bifurcation set is a polynomial with a very high degree and its root-finding lacks numerical accuracy. The equation is transformed to have its degree reduced by a factor(n-1). Newton's method applied to the transformed equation improves the accuracy with properly chosen initial values. The numerical implementation is done with Maple V using a large number of computational precision digits. Many cases are studied for 2 $\leq$ n $\leq$ 25 and show a remarkably improved computation.