Titlebook: Computer Algebra in Scientific Computing; 10th International W Victor G. Ganzha,Ernst W. Mayr,Evgenii V. Vorozhts Conference proceedings 20

Locale

Analytic Solutions of Linear Difference Equations, Formal Series, and Bottom Summation,difference equation .(.)?=?0 with polynomial coefficients, and that a summing operator for . exists (such an operator can be found – if it exists – by the Accurate Summation algorithm, or alternatively, by Gosper’s algorithm when ord .?=?1)..The notion of . which covers the case where .(z) has poles in . is introduced.

lymphedema

Melodrama

An Efficient LLL Gram Using Buffered Transformations,r-Euchner algorithm and introducing the use of buffered transformations allows us to obtain a major improvement in reduction time. Unlike previous work, we are able to achieve the improvement while obtaining a strong reduction result and maintaining the stability of the reduction algorithm.

范圍廣

Flagging

An Algorithm for Construction of Normal Forms,the corresponding transformations without computer algebra packages. Here we describe an algorithm for normalization of nonlinear autonomous ODEs. Some implementations of these algorithms are also discussed.

DEAWL

微粒

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233407.jpg

Matrimony

https://doi.org/10.1007/978-1-4471-7475-2difference equation .(.)?=?0 with polynomial coefficients, and that a summing operator for . exists (such an operator can be found – if it exists – by the Accurate Summation algorithm, or alternatively, by Gosper’s algorithm when ord .?=?1)..The notion of . which covers the case where .(z) has poles

最小

https://doi.org/10.1007/978-1-4471-7475-2of the roots of polynomials. Empirical results presented in this paper verify that this implementation makes the CF method . faster than the Vincent-Collins-Akritas bisection method, or any of its variants.

Barter

https://doi.org/10.1007/978-1-4471-7475-2r-Euchner algorithm and introducing the use of buffered transformations allows us to obtain a major improvement in reduction time. Unlike previous work, we are able to achieve the improvement while obtaining a strong reduction result and maintaining the stability of the reduction algorithm.